A medical transaction processing method and device, electronic equipment and storage medium

Abstract

The application relates to the technical field of clinical decision-making, in particular to a medical affair processing method and device, electronic equipment and a storage medium, the method comprises the following steps: acquiring clinical data of a patient, the clinical data comprising a plurality of body index data; judging whether each body index data meets a corresponding state standard according to the clinical data, the state standard being a standard range value of the body index data under the current condition of the patient; determining the body index data that does not meet the corresponding state standard as abnormal data; and determining an adjustment instruction according to the abnormal data and a standard range value corresponding to the abnormal data, the adjustment instruction being used for adjusting a device corresponding to the adjustment instruction. The application has the effect of improving the efficiency of treating the patient.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of clinical data processing, and in particular to a medical affair processing method and device, electronic equipment and storage medium. BACKGROUND

[0002] Clinical diagnosis requires that a clinician has multidisciplinary and multi-field medical knowledge, and can treat a patient in time when the patient has a physical abnormality. However, due to the limited number of hospital clinicians and the limited energy of the clinicians, all patients cannot be treated in time when the patients have physical abnormalities.

[0003] Generally, in order to provide timely treatment for each patient, a hospital will arrange on-duty personnel or regional managers. When an abnormal patient exists in the region responsible for by the on-duty personnel or the regional managers, the on-duty personnel or the regional managers can find the abnormal patient in time and treat the abnormal patient. However, due to the large number of patient distribution regions in the hospital and the large number of patients, even if the patients are managed in regions, it is difficult to rescue the patients in time when the patients have abnormalities. SUMMARY

[0004] In order to improve the efficiency of rescuing patients, the embodiments of the present application provide a medical affair processing method and device, electronic equipment and storage medium.

[0005] In a first aspect, the present application provides a medical affair processing method, which adopts the following technical solution:

[0006] A medical affair processing method comprises:

[0007] Obtaining clinical data of a patient, wherein the clinical data comprises a plurality of physical index data;

[0008] Determining whether each physical index data meets a corresponding state standard according to the clinical data, wherein the state standard is a standard range value of the physical index data under a current condition of the patient;

[0009] Determining a physical index data that does not meet the corresponding state standard as abnormal data;

[0010] Determining an adjustment instruction according to the abnormal data and the state standard corresponding to the abnormal data, wherein the adjustment instruction is used to adjust a device corresponding to the adjustment instruction.

[0011] By adopting the technical scheme, the clinical data of the patient is analyzed to determine a plurality of body index data of the patient, and whether there is abnormal data in each body index of the patient is judged according to a standard range value corresponding to each body index of the patient in the current state, instead of directly comparing the body index data of the patient with the body index data of normal people. Since the body index corresponding to the patient when being ill may be different from the body index of normal people, some body indexes may be higher or lower than the body index of normal people due to illness. Therefore, when judging whether the body index of the patient is abnormal, the judgment is made based on the current condition of the patient, so as to improve the accuracy of determining that the patient has abnormal body index data. When the body index data of the patient is abnormal, the corresponding equipment is adjusted according to the abnormal body index data and the standard range value corresponding to the body index, so that the patient can be rescued in time when the patient is abnormal, and the efficiency of rescuing the patient is improved.

[0012] In a possible implementation manner, before the judging whether each body index data conforms to the corresponding state standard according to the clinical data, the method further includes:

[0013] According to the clinical data and the historical treatment data of the patient, a disease level of the patient is determined, and the disease level includes mild, moderate and severe;

[0014] The judging whether each body index data conforms to the corresponding state standard according to the clinical data includes:

[0015] According to the disease level, a standard range value of each body index data corresponding to the patient is determined from a standard index database;

[0016] When the actual body index data of the patient belongs to the standard range value, it is determined that the actual body index of the patient conforms to the state standard;

[0017] When the actual body index data of the patient does not belong to the standard range value, it is determined that the actual body index of the patient does not conform to the state standard.

[0018] By adopting the technical scheme, after the disease grade of the patient is determined according to the clinical data of the patient, the corresponding standard range value is determined from the standard index database. Different patients correspond to different conditions, the same condition corresponds to different disease grades, and the standard range value of the physical index corresponding to different disease grades is different. Therefore, the corresponding standard range value is determined through the clinical data of the patient, and then whether the patient meets the state standard is determined according to the standard range value. Instead of determining the standard range value of the physical index of the normal person as the basis for determining whether the patient meets the state standard, the standard range value corresponding to the physical index that the patient needs to check is determined through the clinical data, and then whether the patient belongs to the standard state is determined through the standard range value, so as to improve the accuracy of determining the state of the patient.

[0019] In a possible implementation manner, before the step of determining the adjustment instruction according to the abnormal data and the standard range value corresponding to the abnormal data, the method further includes:

[0020] determining a target device according to the abnormal data;

[0021] The step of determining the adjustment instruction according to the abnormal data and the standard range value corresponding to the abnormal data includes:

[0022] determining the adjustment instruction according to the abnormal data and the corresponding standard range value, wherein the adjustment instruction includes an adjustment amplitude, and the adjustment instruction is used to represent an adjustment amount of each adjustment on the corresponding device;

[0023] performing a loop step until a preset condition is met;

[0024] The loop step includes:

[0025] adjusting the target device according to the adjustment amplitude, and recording the physical index data corresponding to the target device in real time;

[0026] The preset condition includes:

[0027] the physical index data corresponding to the target device meets the state standard corresponding to the patient;

[0028] the number of adjustments reaches a preset threshold.

[0029] By adopting the above technical solution, when a patient has abnormal physical indicators, the adjustment range is determined based on the abnormal data, and the corresponding equipment is adjusted to make the abnormal data conform to the patient's corresponding status standard. Within a preset time after the abnormal data is detected, the corresponding equipment is automatically adjusted to treat the patient. If the abnormal data is not eliminated within the preset time after the adjustment of the corresponding equipment begins, the adjustment of the corresponding equipment is stopped, and a call message is generated to remind relevant medical staff to treat the patient. Real-time detection facilitates timely detection of abnormalities, and because the equipment required for patient treatment is automatically adjusted in a timely manner, it facilitates timely treatment of patients, thereby reducing the workload of relevant medical staff.

[0030] In one possible implementation, when the adjustment instruction includes a drug injection adjustment, the determination of the adjustment instruction further includes, prior to:

[0031] The injection medication is determined based on the abnormal data;

[0032] Based on the patient's clinical data, determine whether the injected medication is a previous medication used by the patient.

[0033] If the injected drug is not a previously used medication, then obtain the patient's diagnostic data and determine whether the patient is allergic to the injected drug based on the diagnostic data;

[0034] When the injected drug is a patient's previous medication or the patient is not allergic to the injected drug, the patient's weight is obtained, and the drug administration standard is determined based on the patient's weight.

[0035] By adopting the above technical solution, when administering medication to patients, the medication to be injected can be determined based on the patient's clinical data, thereby reducing the workload of relevant medical staff. Before administering the medication, it can be determined whether the injected medication will cause an allergic reaction in the patient, so as to improve the safety of medication during the treatment process. Finally, the standard for determining the injection medication is based on the patient's weight, which further improves the safety of the treatment process.

[0036] In one possible implementation, the method further includes:

[0037] Record data for each bodily indicator before and after drug injection within a preset time period;

[0038] Based on the data of each physical indicator before and after drug injection within a preset time period, generate a line chart corresponding to each physical indicator.

[0039] Based on each data line graph, drug analysis information is determined, which is used to analyze the impact of the injected drug on each physical indicator.

[0040] By adopting the technical scheme, each body index corresponding data line graph is formed by recording each body index data of the patient before and after injecting the injection drug, and the change of each body index of the patient after the drug treatment is observed through the data line graph.

[0041] In a possible implementation manner, after the body index corresponding data line graph is generated, the method further includes:

[0042] According to the body data index corresponding data line graph, it is judged whether the data line graph has a regular change;

[0043] When the change rule exists, at least two change periods are determined according to the change rule;

[0044] The peak-valley difference value corresponding to each period is determined, and the drug adjustment suggestion information is determined according to the peak-valley difference value.

[0045] By adopting the technical scheme, the influence of the injection drug on the patient is determined according to the data line graph with a regular change, the injection drug adjustment is judged according to the influence of the injection drug on the patient, the drug adjustment suggestion information is generated when the injection drug needs to be adjusted, and the related staff can optimize the drug used by the patient according to the drug adjustment suggestion information, so that the efficiency of the treatment of the patient is improved through the adjusted injection drug.

[0046] In a possible implementation manner, the determination of the peak-valley difference value corresponding to each period and the determination of the drug adjustment suggestion information according to the peak-valley difference value include:

[0047] The two extreme values corresponding to each period are determined, and the peak-valley difference value corresponding to each period is determined according to the two extreme values corresponding to each period;

[0048] The drug adjustment suggestion information is determined according to the peak-valley difference value and a preset standard difference value, and the drug adjustment suggestion information is used to represent the increase or decrease of the drug dosage.

[0049] By adopting the technical scheme, the peak-valley difference value is determined according to the actual data of the patient before and after injecting the drug, the drug adjustment suggestion information is determined, and the dosage of the injection drug is adjusted according to the drug adjustment suggestion information, so that the dosage of the injection drug is more in line with the actual situation of the patient, and the efficiency of the treatment of the patient is improved.

[0050] In a second aspect, the application provides a medical transaction processing device, which adopts the following technical scheme:

[0051] A medical transaction processing device includes:

[0052] an acquisition of clinical data module configured to acquire clinical data of a patient, the clinical data comprising a plurality of physical index data;

[0053] a standard judgment module configured to judge whether each physical index data meets a corresponding state standard according to the clinical data, the state standard being a standard range value of the physical index data under a current condition of the patient;

[0054] a determination of abnormality module configured to determine physical index data that does not meet the corresponding state standard as abnormal data;

[0055] a determination of adjustment instruction module configured to determine an adjustment instruction according to the abnormal data and a standard range value corresponding to the abnormal data, the adjustment instruction being used to adjust a device corresponding to the adjustment instruction.

[0056] By using the above technical solution, the clinical data of the patient is analyzed to determine a plurality of physical index data of the patient, and whether there is abnormal data in each physical index of the patient is judged according to a standard range value corresponding to each physical index of the patient under a current condition, instead of directly comparing the physical index data of the patient with normal physical index data of the public. Since the corresponding physical index of the patient may be different from the physical index of the normal public when the patient is ill, some physical indexes may be higher or lower than the physical index of the normal public due to illness. Therefore, when judging whether the physical index of the patient is abnormal, the judgment is based on the current condition of the patient, which facilitates improving the accuracy of determining that the patient has abnormal physical index data. When the physical index data of the patient is abnormal, the corresponding device is adjusted according to the abnormal physical index data and the standard range value corresponding to the physical index, which can rescue the patient in time when the patient is abnormal, thereby facilitating improving the efficiency of rescuing the patient.

[0057] In a possible implementation manner, the standard judgment module is configured to judge whether each physical index data meets a corresponding state standard according to the clinical data, and specifically configured to:

[0058] determine a disease level of the patient according to the clinical data and historical treatment data of the patient, the disease level including mild, moderate and severe;

[0059] wherein the standard judgment module is configured to judge whether each physical index data meets a corresponding state standard according to the clinical data, and specifically configured to:

[0060] determine a standard range value of each physical index data corresponding to the patient from a standard index database according to the disease level;

[0061] when the actual physical index data of the patient belongs to the standard range value, determining that the actual physical index of the patient meets the state criterion;

[0062] when the actual physical index data of the patient does not belong to the standard range value, determining that the actual physical index of the patient does not meet the state criterion.

[0063] In a possible implementation manner, the apparatus further includes:

[0064] a target device determining module, configured to determine a target device according to the abnormal data;

[0065] The adjustment instruction determining module is specifically configured to:

[0066] determine an adjustment instruction according to the abnormal data and the standard range value corresponding to the abnormal data, the adjustment instruction including an adjustment range, wherein the adjustment instruction is used to represent an adjustment amount of each adjustment on the corresponding device;

[0067] perform a loop step until a preset condition is met;

[0068] The loop step includes:

[0069] adjust the target device according to the adjustment range, and record the physical index data corresponding to the target device in real time

[0070] The preset condition includes:

[0071] the physical index data corresponding to the target device meets the state criterion of the patient;

[0072] the number of adjustments reaches a preset threshold.

[0073] In a possible implementation manner, the apparatus further includes:

[0074] a drug determining module, configured to determine an injection drug according to the abnormal data;

[0075] a drug judgment module, configured to judge whether the injection drug is a historical drug of the patient according to clinical data of the patient;

[0076] a diagnosis data obtaining module, configured to, if the injection drug is not the historical drug, obtain diagnosis data of the patient, and judge whether the patient is allergic to the injection drug according to the diagnosis data;

[0077] The determining input standard module is configured to acquire the body weight of the patient when the injection drug is a historical drug of the patient or the patient is not allergic to the injection drug, and determine a drug input standard according to the body weight of the patient.

[0078] In a possible implementation, the apparatus further includes:

[0079] The recording data module is configured to record data of each body index before and after drug injection in a preset time period.

[0080] The generating line chart module is configured to generate a data line chart corresponding to each body index according to the data of each body index before and after drug injection in the preset time period.

[0081] The determining drug analysis information module is configured to determine drug analysis information according to each data line chart, where the drug analysis information is used to analyze an influence of the injected drug on each body index.

[0082] In a possible implementation, the apparatus further includes:

[0083] The regularity determining module is configured to determine whether there is a regular change in the data line chart corresponding to the body data index.

[0084] The determining change period module is configured to determine at least two change periods according to the change regularity when the change regularity exists.

[0085] The determining adjustment suggestion information module is configured to determine a peak-valley difference corresponding to each period, and determine drug adjustment suggestion information according to the peak-valley difference.

[0086] In a possible implementation, when the determining adjustment suggestion information module determines the peak-valley difference corresponding to each period and the drug adjustment suggestion information according to the peak-valley difference, the determining adjustment suggestion information module is specifically configured to:

[0087] determine two extreme values corresponding to each period, and determine the peak-valley difference corresponding to each period according to the two extreme values corresponding to each period.

[0088] determine the drug adjustment suggestion information according to the peak-valley difference and a preset standard difference value, where the drug adjustment suggestion information is used to represent an increased or decreased drug dosage.

[0089] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0090] An electronic device includes:

[0091] at least one processor;

[0092] a memory;

[0093] At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: perform the aforementioned method of medical transaction processing.

[0094] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution:

[0095] A computer-readable storage medium includes: a computer program stored thereon that can be loaded by a processor and execute the above-described medical transaction processing method.

[0096] In summary, this application includes the following beneficial technical effects:

[0097] 1. Analyze the patient's clinical data to determine multiple physical indicators. Based on the standard range values ​​corresponding to each physical indicator in the patient's current state, determine whether there are any abnormal data in each physical indicator, rather than directly comparing the patient's physical indicator data with the normal physical indicator data. Since the physical indicators corresponding to the patient's illness may be different from those of the general population, some physical indicators may be higher or lower than the normal population due to illness. Therefore, when determining whether there are abnormalities in the patient's physical indicators, it is easier to improve the accuracy of determining whether there are abnormal physical indicator data. When the patient's physical indicator data is abnormal, adjust the corresponding equipment according to the abnormal physical indicator data and the corresponding standard range value, so as to provide timely assistance to the patient when abnormalities occur, thereby improving the efficiency of patient treatment. Attached Figure Description

[0098] Figure 1 This is a flowchart illustrating a medical transaction processing method according to an embodiment of this application;

[0099] Figure 2a This is a monotonic blood pressure line graph in an embodiment of this application;

[0100] Figure 2b This is a non-monotonic blood pressure line graph in the embodiments of this application;

[0101] Figure 2c This is a line chart showing significant changes in data, as described in the embodiments of this application.

[0102] Figure 3 This is a schematic diagram of the structure of a medical transaction processing device according to an embodiment of this application;

[0103] Figure 4 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. DETAILED DESCRIPTION

[0104] The application will be further described below in conjunction with the accompanying drawings. Figures 1-4 The application will be further described below in conjunction with the accompanying drawings.

[0105] Those skilled in the art can make modifications to the present embodiments without creative contribution after reading the present specification, and as long as the modifications are within the scope of the claims of the present application, they are protected by the patent law.

[0106] To make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the accompanying drawings of the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative contribution fall within the scope of protection of the present application.

[0107] In order to improve the efficiency of rescuing patients, in the embodiments of the present application, the clinical data of the patient is analyzed to determine a plurality of physical index data of the patient, whether there is abnormal data in each physical index of the patient is judged according to the standard range value corresponding to each physical index of the patient in the current state, when the physical index data of the patient is abnormal, the corresponding device is adjusted according to the abnormal physical index data and the standard range value corresponding to the physical index, instead of when the physical index data of the patient is abnormal, it is difficult to rescue the patient in time due to the large number of ward distribution areas in the hospital and the large number of patients.

[0108] Specifically, the present application provides a medical transaction processing method, which is executed by an electronic device. The electronic device can be a server or a terminal device. The server can be a standalone physical server, a server cluster composed of multiple physical servers, or a distributed system. It can also be a cloud server providing cloud computing services. The terminal device can be a smartphone, a tablet computer, a notebook computer, a desktop computer, etc., but is not limited to this. The terminal device and the server can be connected directly or indirectly through wired or wireless communication. The present application does not limit this.

[0109] Reference Figure 1 , Figure 1 is a flowchart of a medical transaction processing method in the embodiments of the present application. The method includes steps S110, S120, S130 and S140, wherein:

[0110] Step S110: Obtain the clinical data of the patient. The clinical data includes a plurality of physical index data.

[0111] Specifically, the clinical data of the patient is data generated by the patient during treatment, and the plurality of body indicators can be blood pressure, heart rate, blood oxygen saturation, and the like. The clinical data of the patient can be collected in real time according to the corresponding device and sent to the electronic device, for example, the blood pressure of the patient can be measured by a sphygmomanometer, and the heart rate of the patient can be measured by an electrocardiograph.

[0112] Step S120: According to the clinical data, it is judged whether each body indicator data meets the corresponding state standard.

[0113] Among them, the state standard is the standard range value of the body indicator data of the patient under the current condition.

[0114] Specifically, the current condition of the patient is used to represent the current condition of the patient. Since different patients correspond to different types of diseases, even if different patients correspond to the same type of disease, the stage of the disease may be different, and the standard of the body indicator data corresponding to the patient in different disease stages is also different. For example, the blood oxygen saturation of a normal human body is generally maintained at 95% or above. When the blood oxygen saturation is 95% or above, it indicates that there is no hypoxia in the body tissue, organ and cell. If the blood oxygen saturation is reduced to 95% or below, it may cause hypoxia in the body tissue, organ and cell, which may cause damage to the internal organs of the patient, and eventually lead to the patient's breathing, chest tightness and other conditions. In severe cases, it may even cause the patient to appear coma. However, if the patient has bronchial or pulmonary diseases, it is easy to cause the blood oxygen saturation in the body to decrease. When the bronchial or pulmonary diseases are not completely cured, the blood oxygen saturation in the patient's body may decrease to 85%, or even to 80%. Therefore, when judging whether the body indicator data of the patient meets the corresponding state standard, the current condition of the patient should be considered.

[0115] Step S130: The body indicator data that does not meet the corresponding state standard is determined as abnormal data.

[0116] Specifically, when the blood oxygen saturation in the human body is 80%-85%, it is abnormal data for a normal person without disease, but it is not abnormal data for a patient with bronchial or pulmonary diseases who has not been completely cured. As long as the patient does not do strenuous exercise, the oxygen in the body is basically sufficient. However, when the blood oxygen saturation in the body of the patient with bronchial or pulmonary diseases is lower than 80%, it may cause damage to the internal organs. At this time, the body indicator data of the patient is abnormal data.

[0117] Step S140: According to the abnormal data and the standard range value corresponding to the abnormal data, an adjustment instruction is determined, and the adjustment instruction is used to adjust the device corresponding to the adjustment instruction.

[0118] Specifically, for example, a patient with bronchial disease, at this time the standard range value of blood oxygen saturation is 80-85%, when the blood oxygen saturation of the patient with bronchial disease is 78%, it is determined that the blood oxygen saturation of the patient is abnormal, wherein the blood oxygen saturation of 78% is abnormal data, the blood oxygen saturation of 80-85% is the standard range value corresponding to the abnormal data, and the adjustment instruction is to adjust the oxygen concentration of the oxygen supplier when supplying oxygen to the patient. Different physical indicators correspond to different treatment equipment, for example, when the blood oxygen concentration decreases, the corresponding treatment equipment is an oxygen supplier, and when the heart rate of the patient decreases, the speed of injecting medicine into the patient can be automatically adjusted to increase the heart rate of the patient.

[0119] For the embodiment of the present application, the clinical data of the patient is analyzed to determine the physical indicator data of the patient, and whether there is abnormal data in each physical indicator of the patient is judged according to the standard range value corresponding to each physical indicator of the patient in the current state, instead of directly comparing the physical indicator data of the patient with the physical indicator data of normal people. Since the physical indicators corresponding to the patient when being ill may be different from the physical indicators of normal people, some physical indicators may be higher or lower than the physical indicators of normal people due to illness, therefore, when judging whether the physical indicators of the patient are abnormal, the judgment is based on the current condition of the patient, which facilitates to improve the accuracy of determining that the patient has abnormal physical indicator data. When the physical indicator data of the patient is abnormal, the corresponding equipment is adjusted according to the abnormal physical indicator data and the standard range value corresponding to the physical indicator, so as to rescue the patient in time when the patient is abnormal, thereby facilitating to improve the efficiency when rescuing the patient.

[0120] Further, step S120 judges whether each physical indicator data conforms to the corresponding state standard according to the clinical data, and further includes step Sa1 (not shown in the figure), wherein:

[0121] Step Sa1: determining the illness level of the patient according to the clinical data and the historical treatment data of the patient, and the illness level includes mild, moderate and severe.

[0122] Specifically, different patients correspond to different disease grades, and even patients with the same disease may correspond to different disease grades due to different physical conditions. For example, for a patient with coronary arteriosclerosis stenosis, when the lumen stenosis is below 33%, the corresponding disease grade is mild; when the lumen stenosis is between 33% and 67%, the corresponding disease grade is moderate; and when the lumen stenosis is above 67%, the corresponding disease grade is severe. When determining the disease grade of a patient, after determining the disease grade corresponding to the patient according to the clinical data of the patient, the determined disease grade can be optimized according to historical treatment data. Since the physical conditions of each patient are different, the same physical index data corresponds to different physical state reactions. The state grade of the patient is optimized according to the historical data, so as to improve the accuracy of determining the disease grade of the patient. The historical treatment data is the treatment data when the patient receives treatment in the past.

[0123] In step S120, whether each physical index data meets the corresponding state standard is determined according to the clinical data, including step S1201 (not shown in the figure) and step S1202 (not shown in the figure), wherein:

[0124] In step S1201, the standard range value of each physical index data corresponding to the patient is determined from the standard index database according to the disease grade.

[0125] Specifically, the standard index database stores the standard range value of each physical index corresponding to the mild, moderate and severe state in each disease. The standard index database is determined according to historical clinical data, and the historical clinical data is a large amount of clinical data of patients with the same disease but at different stages, and clinical data of different diseases. When determining the standard range value of each physical index data corresponding to the patient from the standard index database, the disease, disease grade and physical index can be queried. First, the disease of the patient is determined from a large amount of clinical data, and the clinical data of different diseases is filtered out. Then, the clinical data of the same disease grade as the patient is determined from the clinical data of the same disease as the patient. Finally, the standard range value is determined according to the physical index to be viewed.

[0126] In step S1202, when the actual physical index data of the patient does not belong to the standard range value, it is determined that the actual physical index of the patient does not meet the state standard.

[0127] In step S1203, when the actual physical index data of the patient belongs to the standard range value, it is determined that the actual physical index of the patient meets the state standard.

[0128] Specifically, the actual physical index data of the patient can be obtained from the clinical data of the patient.

[0129] For the embodiment of the present application, after the disease level of the patient is determined according to the clinical data of the patient, the corresponding standard range value is determined from the standard index database. Different patients correspond to different conditions, and the same condition corresponds to different disease levels. Different disease levels correspond to different standard range values of the physical index. Therefore, the corresponding standard range value needs to be determined through the clinical data of the patient, and then whether the patient meets the state standard is determined according to the standard range value. Instead of determining the standard range value of the normal person's physical index as the basis for determining whether the patient meets the state standard, the standard range value corresponding to the physical index that the patient needs to check is determined through the clinical data, and then it is judged whether the patient belongs to the standard state through the standard range value, so as to improve the accuracy of determining the state of the patient.

[0130] Further, step S140 determines the adjustment instruction according to the abnormal data and the standard range value corresponding to the abnormal data. Previously, it further includes step Sb1 (not shown in the figure), wherein:

[0131] Step Sb1: determining the target device according to the abnormal data.

[0132] Specifically, the physical index data corresponds to the device. The target device is not the device for detecting related data, but the device that can treat the corresponding index of the patient when the physical index data of the patient is abnormal. For example, when the patient's blood oxygen saturation decreases, the target device is not a blood gas analyzer for detecting the patient's blood oxygen saturation, but an oxygen delivery device that can increase the patient's blood oxygen saturation.

[0133] Among them, step S140 determines the adjustment instruction according to the abnormal data and the standard range value corresponding to the abnormal data, including step S1401 (not shown in the figure) and step S1402 (not shown in the figure), wherein:

[0134] Step S1401: determining the adjustment instruction according to the abnormal data and the corresponding standard range value, and the adjustment instruction includes the adjustment amplitude, wherein the adjustment instruction is used to represent the adjustment amount of each adjustment to the corresponding device.

[0135] Specifically, for example, when the blood oxygen saturation of the patient is 78%, it is determined according to the clinical data of the patient that the standard range value corresponding to the current state of the patient is 82-87%, and therefore the blood oxygen saturation of the patient needs to be increased by at least 4% to make the blood oxygen saturation of the patient within the standard range. The adjustment range is the adjustment amount of each adjustment of the oxygen delivery device, and the oxygen delivery device generally delivers oxygen at a standard concentration when delivering oxygen to the patient, but if the oxygen delivery at the standard concentration cannot increase the blood oxygen saturation of the patient, the oxygen concentration can be increased to adjust the blood oxygen saturation of the patient, but in order to facilitate the patient to adapt to the oxygen concentration, the oxygen concentration can be adjusted in multiple times, for example, for patients with chronic obstructive pulmonary disease, low-flow oxygen inhalation can be used, 2-3 liters per minute, and the oxygen concentration is 29%. The oxygen concentration cannot be too high, otherwise it will aggravate the patient's condition. If the arterial oxygen partial pressure and oxygen saturation level of the patient do not change or do not recover to the standard range value after oxygen inhalation, the oxygen concentration can be gradually increased to 33%, but the oxygen concentration should not be increased too much at a time. For patients with acute respiratory failure or hypoxemia, high-flow oxygen can be given, and in severe cases, non-invasive respirators or tracheal intubation mechanical ventilation can be considered, and the oxygen concentration can reach more than 50%. Therefore, the adjustment instruction is also determined according to the clinical data of the patient.

[0136] Step S1402: Perform a loop step until a preset condition is met;

[0137] The loop step includes:

[0138] The target device is adjusted according to the adjustment range, and the body index data corresponding to the target device is recorded in real time;

[0139] The preset condition includes:

[0140] The body index data corresponding to the target device meets the state standard corresponding to the patient;

[0141] The number of adjustments reaches a preset threshold.

[0142] Specifically, after each interval, the corresponding device is adjusted according to the adjustment range, and when the body index data of the patient after adjustment meets the corresponding state standard, the adjustment of the device is stopped, for example, when the blood oxygen saturation of the patient is not within the standard range, the oxygen delivery device is started, and the oxygen concentration is increased according to the adjustment range, and the blood oxygen saturation of the patient is recorded in real time. When the blood oxygen saturation of the patient is within the standard range, stop increasing the oxygen concentration, but do not turn off the oxygen delivery device.

[0143] Since the adjustment of the equipment is adjusted at a certain time interval, from the start of the adjustment of the equipment, the adjustment duration can be determined after each adjustment, when the adjustment times reach the preset threshold, that is, the adjustment duration reaches the preset duration, if the adjustment duration reaches the preset duration, the patient's physical index data is still in the state standard, stop adjusting the corresponding equipment, the preset duration is the time that can automatically rescue the patient, if the patient's physical index data cannot be made to meet the state standard within the preset duration, stop adjusting the corresponding equipment, and generate a call information, wherein the call information is used to remind the relevant medical staff to rescue the patient, and the call information reminds the relevant medical staff in the form of sending the call information directly to the terminal device of the relevant medical staff, or in the form of broadcast to remind the relevant medical staff, and the specific reminding manner is not limited in the embodiment of the application.

[0144] For the embodiment of the application, when the patient has abnormal physical index data, the adjustment range is determined based on the abnormal data, and the corresponding equipment is adjusted to make the abnormal data meet the corresponding state standard of the patient, and within the preset duration after detecting the abnormal data of the patient, the patient is automatically rescued by starting the corresponding equipment, if the abnormal data of the patient is not eliminated within the preset duration after starting to adjust the corresponding equipment, stop adjusting the corresponding equipment, and generate a call information to remind the relevant medical staff to rescue the patient, through real-time detection, the abnormality can be found in time, and since the equipment required for automatic treatment of the patient is adjusted in time, the patient can be rescued in time, thereby reducing the work burden of the relevant medical staff.

[0145] Further, in order to improve the accuracy of determining the injection of the drug, and further improve the safety of rescuing the patient, the application also includes steps Sb1 (not shown in the figure), step Sb2 (not shown in the figure), step Sb3 (not shown in the figure) and step Sb4 (not shown in the figure), wherein:

[0146] Step Sb1: determining the injection of the drug according to the abnormal data.

[0147] Specifically, when determining the injection of the drug, the electronic device can automatically determine according to the abnormal data, or the relevant medical staff can input.

[0148] Step Sb2: determining whether the injection of the drug is the historical medication of the patient according to the clinical data of the patient.

[0149] Specifically, the historical medication can be the drug used by the patient in the treatment process in the current hospital, or the drug used by the patient in the treatment process in other hospitals, and the injection of the drug is determined whether it is the historical medication of the patient according to the name of the injection of the drug or the composition of the injection of the drug from the clinical data.

[0150] Step Sb3: If the injection drug is not the historical drug, obtain the diagnosis data of the patient, and determine whether the patient is allergic to the injection drug according to the diagnosis data.

[0151] Specifically, the diagnosis data includes current diagnosis data and historical diagnosis data, wherein the current diagnosis data is the diagnosis data of the patient in the current hospital, and the historical diagnosis data is the historical diagnosis data of the patient in other hospitals, wherein the diagnosis data includes drug use records and clinical drug reactions, and the clinical drug reactions include allergies and non-allergies. By obtaining the components of the injection drug and the allergic components of the patient's allergic drugs, the components of the injection drug and the allergic components are compared, if the similarity between the components of the injection drug and the allergic components is higher than a preset threshold, it is determined that the patient may have an allergic reaction to the injection drug; if the similarity between the components of the injection drug and the allergic components is lower than the preset threshold, it is determined that the patient does not have an allergic reaction to the injection drug.

[0152] Step Sb4: When the injection drug is the historical drug of the patient or the patient is not allergic to the injection drug, obtain the weight of the patient, and determine the drug input standard according to the weight of the patient.

[0153] Specifically, when the injection drug is the historical drug of the patient, and it is determined according to the clinical drug reaction of the historical drug that the injection drug will not cause an allergic reaction to the patient, and although the injection drug is not the historical drug of the patient, the injection drug will not cause an allergic reaction to the patient, the input standard of the injection drug is determined according to the weight of the patient, so that the relevant medical staff can optimize the input amount of drug input to the patient according to the input standard. For example, children patients need to take antibiotics, vitamins and other drugs during treatment, which need to be taken for several consecutive days, and the input standard of each time needs to be calculated according to the weight. The weight of the patient can be input by the relevant medical staff or measured by the automatic weighing bed.

[0154] For the embodiments of the present application, when the patient is injected with a drug, the injection drug can be determined according to the clinical data of the patient to reduce the work burden of the relevant medical staff. Before the injection drug is injected, it is determined whether the injection drug will cause an allergic reaction in the patient, so as to improve the safety of drug use in the process of rescuing the patient. Finally, the standard of the injection drug is determined by the weight of the patient, which further improves the safety in the process of rescuing the patient.

[0155] Further, in order to facilitate observation of the change of the patient's physical indicators after drug treatment, the embodiments of the present application further include step Sc1 (not shown in the figure), step Sc2 (not shown in the figure) and step Sc3 (not shown in the figure), wherein:

[0156] Step Sc1: record the data of each physical index before and after the injection of the drug within a preset time period.

[0157] Specifically, the preset time period can be one day, three days, and five days, and the specific duration is not limited in the embodiments of the present application, as long as the number of times of injecting the drug to the patient within the preset time period is at least three. By recording the changes of the data of each physical index after each injection of the drug to the patient within the preset time period, it is determined whether the injection of the drug has a therapeutic effect on the patient's condition.

[0158] Step Sc2: generate a data line graph corresponding to each physical index according to the data of each physical index before and after the injection of the drug within the preset time period.

[0159] Specifically, the data of each physical index of the user within the preset time period is detected in real time, and the multiple physical index data is input into a preset coordinate system to determine the corresponding point of each physical index data, wherein the horizontal and vertical coordinates of the preset coordinate system include time and physical index data. Finally, the multiple physical index data is connected in time sequence to form a data line graph corresponding to the physical index, and finally the data line graph corresponding to each physical index is obtained.

[0160] Step Sc3: determine the drug analysis information according to each data line graph, and the drug analysis information is used to analyze the influence of the injected drug on each physical index.

[0161] Specifically, the drug analysis information is obtained according to each data line graph. If the physical index data in the data line graph changes monotonically with time and the change value is farther and farther away from the standard range value, such as Figure 2a as shown, Figure 2a which is a monotonically changing blood pressure line graph in the embodiments of the present application, the blood pressure of the patient is always rising with time, even before and after the patient takes the antihypertensive drug A. The blood pressure of the patient is always higher than the standard range value. At this time, it can be determined that the antihypertensive drug A has poor therapeutic effect on the patient; if the blood pressure of the patient is not monotonically changed with time after the patient injects the antihypertensive drug A, such as Figure 2b as shown, Figure 2b which is a non-monotonically changing blood pressure line graph in the embodiments of the present application. At this time, it can be determined that the antihypertensive drug A has good therapeutic effect on the patient; if the blood pressure of the patient decreases obviously after the patient injects the antihypertensive drug A, such as Figure 2c as shown, Figure 2c which is a data line graph with obvious changes in the embodiments of the present application. At this time, it can be determined that the antihypertensive drug A has excellent therapeutic effect on the patient.

[0162] For the embodiment of the present application, by recording each body index data before and after injecting the injection drug into the patient, a data line graph corresponding to each body index is formed, and through the data line graph, the change of each body index of the patient after the drug treatment is observed.

[0163] Further, the step Sc2 of generating the data line graph corresponding to the body index further comprises steps Sd1 (not shown in the figure), Sd2 (not shown in the figure) and Sd3 (not shown in the figure), wherein:

[0164] Step Sd1: According to the data line graph corresponding to the body data index, it is judged whether the data line graph has a regular change.

[0165] Specifically, the judgment can be made through each index data in the data line graph and the time corresponding to each index data, for example, each index data in the data line graph and the corresponding time are 80-10:10, 76-10:20, 60-10:30, 75-10:40, 80-10:50, 79-11:00, 70-11:10, and 60-11:15, wherein 10:10 and 10:50 are the injection drug time, after injecting the drug into the patient, the body index data of the patient decreases and gradually tends to the corresponding standard range, after the injection drug treatment, the body index data of the patient increases and gradually deviates from the corresponding standard range, after re-injecting the drug into the patient, the body index data of the patient decreases again, at this time, it can be determined that the data line graph has a regular change.

[0166] Step Sd2: When there is a change rule, at least two change periods are determined according to the change rule.

[0167] Specifically, since the body index data of the patient reverses between two injections of the drug, the period between the two injections of the drug is a change period. Through at least two change periods, the accidental condition of the data is reduced.

[0168] Step Sd3: Determine the peak-valley difference corresponding to each period, and determine the drug adjustment suggestion information according to the peak-valley difference.

[0169] Specifically, the peak-valley difference is the difference between the maximum value and the minimum value in a change period, if the peak-valley difference is large, it indicates that the injection drug has a significant effect on treating the patient, if the peak-valley difference is small, it indicates that the injection drug has a subtle effect on treating the patient. According to the drug adjustment suggestion information, the medical staff can appropriately adjust the drug according to the treatment effect of the injection drug on the patient, and the treatment effect on the patient can be improved according to the adjusted drug.

[0170] For the embodiment of the present application, according to the data line chart with regular changes, the influence of the injected drug on the patient is determined, and according to the influence of the injected drug on the patient, it is determined whether the drug needs to be adjusted. When the drug needs to be adjusted, drug adjustment suggestion information is generated, so that the relevant staff can optimize the drug used by the patient according to the drug adjustment suggestion information, so as to improve the efficiency of treating the patient through the adjusted injected drug.

[0171] For the embodiment of the present application, step Sd3 determines the peak-valley difference corresponding to each period, and determines the drug adjustment suggestion information according to the peak-valley difference, including step Sd31 (not shown in the figure) and step Sd32 (not shown in the figure), wherein:

[0172] Step Sd31: Determine the two extreme values corresponding to each period, and determine the peak-valley difference corresponding to each period according to the two extreme values corresponding to each period.

[0173] Specifically, when determining the two extreme values corresponding to each period, the corresponding index data in the period can be obtained, and a plurality of index data can be sorted to determine the maximum value and the minimum value.

[0174] Step Sd32: Determine the drug adjustment suggestion information according to the peak-valley difference and the preset standard difference value. The drug adjustment suggestion information is used to represent the increase or decrease of the amount of drug.

[0175] Specifically, the preset standard difference value is a standard change value generated after injecting the drug. For example, under normal conditions, the peak-valley difference corresponding to one period after the patient injects the drug is 50, which belongs to normal efficacy. However, the difference corresponding to one period after the patient A injects the drug is 80, and the difference corresponding to one period after the patient B injects the drug is 30. Compared with patient A, the amount of drug can be reduced, and compared with patient B, the amount of drug can be increased for treatment effect, but the amount of drug needs to be determined according to the actual situation of the patient when the amount of drug is increased.

[0176] For the embodiment of the present application, the peak-valley difference is determined according to the actual data of the patient before and after injecting the drug, and the drug adjustment suggestion information is determined, and then the amount of injected drug is adjusted according to the drug adjustment suggestion information, so that the amount of injected drug is more in line with the actual situation of the patient, and then the efficiency of treating the patient is improved.

[0177] The above embodiment introduces a medical transaction processing method from the perspective of method flow. The following embodiment introduces a medical transaction processing device from the perspective of virtual module or virtual unit. For details, see the following embodiment.

[0178] The embodiment of the present application provides a medical transaction processing device, as shown inFigure 3 As shown, the apparatus can specifically include a clinical data acquisition module 310, a standard judgment module 320, an abnormality determination module 330, and an adjustment instruction determination module 340, wherein:

[0179] The clinical data acquisition module 310 is configured to acquire clinical data of a patient, the clinical data including a plurality of body index data.

[0180] The standard judgment module 320 is configured to determine, according to the clinical data, whether each body index data conforms to a corresponding state standard, the state standard being a standard range value of the body index data under a current condition of the patient.

[0181] The abnormality determination module 330 is configured to determine, as abnormal data, the body index data that does not conform to the corresponding state standard.

[0182] The adjustment instruction determination module 340 is configured to determine, according to the abnormal data and a standard range value corresponding to the abnormal data, an adjustment instruction, the adjustment instruction being used to adjust a device corresponding to the adjustment instruction.

[0183] In a possible implementation, the standard judgment module 320, when determining, according to the clinical data, whether each body index data conforms to a corresponding state standard, is specifically configured to:

[0184] determine, according to the clinical data and historical treatment data of the patient, a disease level of the patient, the disease level including mild, moderate, and severe;

[0185] In a possible implementation, the standard judgment module 320, when determining, according to the clinical data, whether each body index data conforms to a corresponding state standard, is specifically configured to:

[0186] determine, according to the disease level, a standard range value of each body index data corresponding to the patient from a standard index database;

[0187] when the actual body index data of the patient belongs to the standard range value, determine that the actual body index of the patient conforms to the state standard;

[0188] when the actual body index data of the patient does not belong to the standard range value, determine that the actual body index of the patient does not conform to the state standard.

[0189] In a possible implementation, the apparatus further includes:

[0190] a target device determination module configured to determine, according to the abnormal data, a target device;

[0191] In a possible implementation, the adjustment instruction determination module, when determining, according to the abnormal data and a standard range value corresponding to the abnormal data, an adjustment instruction, is specifically configured to:

[0192] According to the abnormal data and the corresponding standard range value, a adjustment instruction is determined, the adjustment instruction including an adjustment range, wherein the adjustment instruction is used to represent an adjustment amount of each adjustment on the corresponding device;

[0193] A loop step is executed until a preset condition is met;

[0194] The loop step includes:

[0195] The target device is adjusted according to the adjustment range, and the corresponding physical index data of the target device is recorded in real time;

[0196] The preset condition includes:

[0197] The corresponding physical index data of the target device meets the corresponding state standard of the patient;

[0198] The number of adjustments reaches a preset threshold.

[0199] In a possible implementation manner, the device further includes:

[0200] A determination drug module is configured to determine an injection drug according to the abnormal data;

[0201] A drug judgment module is configured to judge whether the injection drug is a historical drug of the patient according to clinical data of the patient;

[0202] An acquisition diagnosis data module is configured to acquire diagnosis data of the patient if the injection drug is not the historical drug, and judge whether the patient is allergic to the injection drug according to the diagnosis data;

[0203] A determination input standard module is configured to acquire a body weight of the patient when the injection drug is the historical drug of the patient or the patient is not allergic to the injection drug, and determine a drug input standard according to the body weight of the patient.

[0204] In a possible implementation manner, the device further includes:

[0205] A record data module is configured to record data of each physical index before and after drug injection in a preset time period;

[0206] A generation line chart module is configured to generate a data line chart corresponding to each physical index according to the data of each physical index before and after drug injection in the preset time period;

[0207] A determination drug analysis information module is configured to determine drug analysis information according to each data line chart, and the drug analysis information is used to analyze an influence of the injected drug on each physical index.

[0208] In a possible implementation manner, the device further includes:

[0209] The regularity determining module is configured to determine whether the data line graph has regular change according to the data line graph corresponding to the physical data index.

[0210] The change period determining module is configured to determine at least two change periods according to the change regularity when the change regularity exists.

[0211] The adjustment suggestion information determining module is configured to determine the peak-valley difference corresponding to each period, and determine the drug adjustment suggestion information according to the peak-valley difference.

[0212] In a possible implementation, when the adjustment suggestion information determining module determines the peak-valley difference corresponding to each period, and determines the drug adjustment suggestion information according to the peak-valley difference, the adjustment suggestion information determining module is specifically configured to:

[0213] determine two extreme values corresponding to each period, and determine the peak-valley difference corresponding to each period according to the two extreme values corresponding to each period;

[0214] determine the drug adjustment suggestion information according to the peak-valley difference and a preset standard difference value, and the drug adjustment suggestion information is used to represent an increase or a decrease in the amount of the drug.

[0215] An electronic device is provided in the embodiments of the present application, as shown in Figure 4 as shown in Figure 4 The electronic device 400 shown in the embodiment of the present application includes a processor 401 and a memory 403. The processor 401 and the memory 403 are connected, for example, through a bus 402. Optionally, the electronic device 400 can also include a transceiver 404. It should be noted that the transceiver 404 is not limited to one in actual application, and the structure of the electronic device 400 does not constitute a limitation on the embodiments of the present application.

[0216] The processor 401 can be a CPU (Central Processing Unit, central processor), a general-purpose processor, a DSP (Digital Signal Processor, data signal processor), an ASIC (Application Specific Integrated Circuit, application specific integrated circuit), an FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It can implement or execute various exemplary logical blocks, modules and circuits described in combination with the disclosure content of the present application. The processor 401 can also be a combination of computing functions, such as one or more microprocessor combinations, combinations of DSP and microprocessor, etc.

[0217] The bus 402 can include a path that transmits information between the above-mentioned components. The bus 402 can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 402 can be divided into an address bus, a data bus, a control bus, and the like. For convenience of representation, Figure 4 Only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0218] The memory 403 can be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to this.

[0219] The memory 403 is used to store application program codes for implementing the scheme of the present application, and is controlled by the processor 401 to perform. The processor 401 is used to execute the application program codes stored in the memory 403 to realize the content shown in the foregoing method embodiments.

[0220] The electronic device includes, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (Personal Digital Assistant), a PAD (Tablet Personal Computer), a PMP (Portable Multimedia Player), a vehicle terminal (for example, a car navigation terminal), and the like, and a fixed terminal such as a digital TV, a desktop computer, and the like. It can also be a server or the like. Figure 4 The electronic device shown is only an example, and should not bring any limitation to the function and use range of the embodiments of the present application.

[0221] The embodiments of the present application provide a computer readable storage medium, which stores computer programs, and when the computer programs run on a computer, the computer can execute the corresponding content in the foregoing method embodiments.

[0222] It should be understood that although the steps in the flowcharts of the accompanying drawings are shown in a sequential order following the arrows, the steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated otherwise, the execution of the steps is not strictly limited in order, and the steps can be executed in other orders. Moreover, at least some of the steps in the flowcharts of the accompanying drawings can include multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order is not necessarily sequential, but can be alternately or alternately executed with at least part of other steps or sub-steps or stages of other steps.

[0223] The above only describes some embodiments of the present application. It should be pointed out that for ordinary skilled persons in the technical field, some improvements and refinements can be made without departing from the principles of the present application, and these improvements and refinements should also be considered as the protection scope of the present application.

Claims

1. A medical transaction processing device, characterized in that, include: The clinical data acquisition module is used to acquire the patient's clinical data, which includes multiple physical indicator data. The standard judgment module is used to determine whether each physical indicator data meets the corresponding state standard based on the clinical data. The state standard is the standard range value of the physical indicator data under the current condition of the patient. The anomaly identification module is used to identify body indicator data that does not meet the corresponding status standards as abnormal data; The adjustment instruction determination module is used to determine an adjustment instruction based on the abnormal data and the standard range value corresponding to the abnormal data, wherein the adjustment instruction is used to adjust the device corresponding to the adjustment instruction; The standard judgment module, when determining whether each physical indicator data meets the corresponding status standard based on the clinical data, is used to determine the patient's disease level based on the patient's clinical data and historical treatment data. The disease level includes mild, moderate, and severe. The step of determining whether each physical indicator data meets the corresponding status standard based on the clinical data includes: determining the standard range value of each physical indicator data corresponding to the patient from the standard indicator database based on the disease level; determining that the patient's actual physical indicator data meets the status standard when it falls within the standard range value; and determining that the patient's actual physical indicator data does not meet the status standard when it does not fall within the standard range value. The target device determination module is used to determine the target device based on the abnormal data; The adjustment instruction determination module, when determining an adjustment instruction based on abnormal data and a corresponding standard range value, is configured to: determine an adjustment instruction based on the abnormal data and the corresponding standard range value, wherein the adjustment instruction includes an adjustment range, wherein the adjustment instruction characterizes the amount of adjustment made to the corresponding device each time; execute a loop step until a preset condition is met; wherein the loop step includes: adjusting the target device according to the adjustment range, and recording the corresponding body indicator data of the target device in real time; the preset condition includes: the body indicator data of the target device conforms to the patient's corresponding state standard; and the number of adjustments reaches a preset threshold. The data recording module is used to record the data of each physical indicator before and after drug injection within a preset time period; the line graph generation module is used to generate a data line graph corresponding to each physical indicator based on the data of each physical indicator before and after drug injection within a preset time period; the drug analysis information determination module is used to determine drug analysis information based on each data line graph, and the drug analysis information is used to analyze the impact of drug injection on each physical indicator. The pattern judgment module is used to determine whether there is a regular change in the data line graph corresponding to the body data indicators; the change period determination module is used to determine at least two change periods according to the change pattern when a change pattern exists; the adjustment suggestion information determination module is used to determine the peak-to-trough difference corresponding to each period and determine the medication adjustment suggestion information based on the peak-to-trough difference. The module for determining adjustment recommendations is used to: determine the two extreme values ​​corresponding to each period, and determine the peak-to-valley difference corresponding to each period based on the peak-to-valley difference; determine the drug adjustment recommendations based on the peak-to-valley difference and a preset standard deviation, wherein the drug adjustment recommendations are used to characterize increasing or decreasing the dosage of the drug.

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