Patient management method and device based on smart bracelet, electronic equipment and medium

Abstract

The invention relates to a patient management method and device based on a smart bracelet, electronic equipment and a medium, and belongs to the technical field of medical management, and the method comprises the steps: obtaining pre-input patient case information, physiological information and position information based on the smart bracelet; establishing a personal monitoring model to which the patient belongs according to the case information; judging whether the patient conforms to the personal monitoring model or not according to the physiological information, and / or judging whether the patient exceeds the range of the corresponding electronic fence or not according to the position information; if yes, alarm information is generated, and the alarm information is sent to a monitoring terminal where the inpatient area is located; monitoring results of the patient are obtained every preset time, and the personal monitoring model is maintained according to the monitoring results of the patient. The method and the device have the effect of improving management convenience.

Description

Technical Field

[0001] The present application relates to the technical field of medical care management, and in particular to a patient management method, device, electronic device and medium based on a smart bracelet. Background Art

[0002] Due to the special nature of psychiatric hospitals and different patients, it is more difficult for medical staff to care for patients, for example: 1. Among hospitalized patients, there are many elderly patients, pediatric patients and patients with behavioral disorders. When the conditions of these patients suddenly become abnormal, they often cannot inform medical staff or seek help in time, which delays the golden time for treatment.

[0003] 2. When patients are hospitalized, in order to provide them with a comfortable, relaxing and free medical environment, they can move freely in the ward and are given time to go outdoors at regular intervals. This consumes a lot of time and energy of medical staff in caring for patients. If patients get lost or leave the hospital without permission and cannot be found in time, it will endanger the safety of patients.

[0004] Therefore, there is an urgent need for a patient management method that improves patient safety and relieves the pressure on medical staff. Summary of the invention

[0005] In order to improve management convenience, the present application provides a patient management method, device, electronic device and medium based on a smart bracelet.

[0006] In the first aspect, the present application provides a patient management method based on a smart bracelet, which adopts the following technical solution: A patient management method based on a smart bracelet, comprising: Obtain pre-entered patient case information, physiological information and location information based on the smart bracelet; Establishing a personal monitoring model for the patient according to the case information; Determining whether the patient meets the personal monitoring model based on the physiological information, and / or determining whether the patient is beyond the range of the corresponding electronic fence based on the location information; If yes, an alarm message is generated and sent to the monitoring terminal of the ward; The monitoring results of the patient are obtained at preset time intervals, and the personal monitoring model is maintained according to the monitoring results of the patient.

[0007] By adopting the above technical solution, the personal monitoring model established through the pre-input case information can be customized for each patient's specific situation. The personalized settings can more accurately reflect the patient's health status and potential risks, thereby providing more accurate medical advice or intervention measures; the smart bracelet can continuously monitor the patient's physiological information and compare it with the personal monitoring model in real time. Once an abnormality is found, the alarm mechanism is immediately triggered to ensure that medical staff can respond quickly and take timely treatment measures to effectively prevent the condition from worsening; setting up an electronic fence based on location information can ensure that the patient is active in the specified area and prevent him from leaving the area that may bring risks without authorization. This application can automatically and continuously collect and analyze the patient's health data, reduce the workload of manual monitoring by medical staff, and improve work efficiency. It is of great significance to improving the quality of medical services, ensuring patient safety, and promoting medical informatization.

[0008] Furthermore, the establishing of a personal monitoring model for the patient according to the case information includes: Obtain updated case information at preset intervals; Obtaining the severity level of the disease preset in the case information; Determine from a database the risk factors corresponding to the severity of the illness and the monitoring levels corresponding to the risk factors, and generate a personal monitoring model for the patient based on the monitoring level corresponding to each risk factor, wherein the risk factors include one or more of heart rate, blood oxygen saturation, blood pressure, body temperature, and sleep status.

[0009] By adopting the above technical solution, risk factors and the monitoring levels corresponding to the risk factors are determined specifically according to the patient, and a personal monitoring model personalized to the patient's situation is established.

[0010] Furthermore, the obtaining of the patient's monitoring results and maintaining the personal monitoring model according to the patient's monitoring results include: Obtaining a monitoring result corresponding to each of the risk factors, wherein the monitoring result includes a monitoring success and a monitoring failure; Calculate the ratio of the number of monitoring successes to the number of monitoring results corresponding to each risk factor; If the ratio is at the first level, the monitoring level corresponding to the risk factor of monitoring failure is increased by a first preset level, and the personal monitoring model is updated according to the updated monitoring level; If the ratio is at the second level, the monitoring level corresponding to the risk factor of monitoring failure is increased to a second preset level, and the personal monitoring model is updated according to the updated monitoring level; If the ratio is at the third level, the personal guardianship model is not changed; The first level, the second level and the third level increase in sequence, and the first preset level is greater than the second preset level.

[0011] Furthermore, judging whether the patient meets the personal monitoring model according to the physiological information includes: determining risk factors corresponding to the physiological information; Obtaining the physiological information range when the risk factor corresponds to the monitoring level; Determining whether the physiological information is within the physiological information range; If so, the patient is determined to be eligible for the individual monitoring model; Otherwise, it was determined that the patient did not meet the individual monitoring model.

[0012] Furthermore, the method further comprises: Determine the patient's daily examination items according to the patient's case information; When the start time of the daily examination item is reached, a prompt message is sent to the patient's smart bracelet to prompt the patient to move to the examination location; When the patient's location information is within the range corresponding to the examination location, a light prompt message is sent to the patient's smart bracelet, causing the smart bracelet to emit light.

[0013] By adopting the above technical solution, when there are many patients to be examined, the application automatically prompts the patient's smart bracelet to be examined. Medical staff and inspectors select patients to be examined based on the smart bracelet, reducing the difficulty of work for leading medical staff and inspectors.

[0014] Furthermore, the method further comprises: Obtain the patient's medication information, including the time of medication and the amount of medication corresponding to each medication time; When it is time for the patient to take the medicine, determine whether the patient can take the medicine independently based on the patient's medical information; If the patient can take medication independently, the patient's location information can be obtained based on the smart bracelet; Determine the nurse station closest to the patient's location information, and generate a first prompt message sent to the patient's smart bracelet, where the first prompt message is used to prompt the patient to pick up medicine from the nearest nurse station; If the patient cannot take the medicine on his own, determining the distance between the patient's location information and the corresponding ward location, determining the patient's moving speed according to the patient's case information, and calculating the moving time according to the distance and the moving speed; Generate a third prompt message sent to the patient's smart bracelet and a fourth prompt message sent to the medical staff, wherein the third prompt message is used to prompt the patient to return to the corresponding ward within a specified time, and the fourth prompt message is used to prompt the medical staff to go to the corresponding ward after a specified time, and the specified time is greater than the moving time; The patient case information includes the patient's age, cardiopulmonary function, disease status, and auxiliary equipment. The determining the patient's moving speed according to the patient case information includes: Get the patient's historical average movement speed; respectively determining the age of the patient and the first index corresponding to the cardiopulmonary function; Determine the corresponding ratio of the combination of the age and the cardiopulmonary function in the big data; multiplying the reciprocal of the ratio by two of the first indices to obtain updated first indices; respectively determining a second index corresponding to the disease state of the patient and a third index corresponding to the auxiliary device; Calculating an average value of the first index, the second index, and the third index, and determining an initial moving speed corresponding to the average value according to a preset table; Comparing and determining the difference between the initial moving speed and the historical average moving speed, and if the difference is within a preset range, determining the initial moving speed as the moving speed of the patient; If the difference is not within the preset range, the modification index of the medical staff is obtained, and the initial moving speed or the historical average moving speed is used as the moving speed of the patient according to the modification index.

[0015] Furthermore, the method further comprises: determining a patient's behavior level based on the patient's case information; Determining the patient's operation information on each device according to the patient's behavior level, wherein the operation information includes allowing the operation or not allowing the operation; If the patient's operation information on any device is that the operation is allowed, the patient's preset data on the device is obtained through the smart bracelet, and the device is started according to the preset data; If the patient's operation information for any device indicates that the operation is not allowed, then any device will not be turned on.

[0016] By adopting the above technical solutions, in the daily life of hospitalized patients, daily equipment can be used in a targeted manner according to the personal situation of each patient while ensuring the safety of the patient, thereby reducing the work pressure of medical staff and ensuring the safety and practical convenience of items.

[0017] In the second aspect, the present application provides a patient management device based on a smart bracelet, which adopts the following technical solution: A data acquisition module, used to acquire pre-entered patient case information, physiological information and location information based on the smart bracelet; A model building module, used to build a personal monitoring model for the patient according to the case information; A judgment module, used to judge whether the patient meets the personal monitoring model according to the physiological information, and / or to judge whether the patient is beyond the range of the corresponding electronic fence according to the location information; An alarm module, for generating an alarm message when the judgment module judges that the alarm message is yes, and sending the alarm message to the monitoring terminal where the ward is located; The model maintenance module is used to obtain the patient's monitoring results at preset intervals and maintain the personal monitoring model according to the patient's monitoring results.

[0018] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: An electronic device, comprising: at least one processor; Memory; At least one computer program, wherein the at least one computer program is stored in the memory and configured to be executed by the at least one processor, the at least one computer program being configured to: execute the method as described in any one of the first aspects.

[0019] By adopting the above technical solution, the processor executes the computer program in the memory, and the personal monitoring model established through the pre-input case information can be customized for the specific situation of each patient. The personalized settings can more accurately reflect the patient's health status and potential risks, thereby providing more accurate medical advice or intervention measures; the smart bracelet can continuously monitor the patient's physiological information and compare it with the personal monitoring model in real time. Once an abnormality is found, the alarm mechanism is immediately triggered to ensure that medical staff can respond quickly and take timely treatment measures to effectively prevent the condition from worsening; setting an electronic fence based on location information can ensure that the patient is active in the specified area and prevent him from leaving the area that may bring risks without authorization. This application can automatically and continuously collect and analyze the patient's health data, reduce the workload of manual monitoring by medical staff, and improve work efficiency. It is of great significance to improving the quality of medical services, ensuring patient safety, and promoting medical informatization.

[0020] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program that can be loaded by a processor and executes the method as described in any one of the first aspects.

[0021] By adopting the above technical solution, the processor processes the computer program in the computer-readable storage medium, and the personal monitoring model established through the pre-input case information can be customized for the specific situation of each patient. The personalized settings can more accurately reflect the patient's health status and potential risks, thereby providing more accurate medical advice or intervention measures; the smart bracelet can continuously monitor the patient's physiological information and compare it with the personal monitoring model in real time. Once an abnormality is found, the alarm mechanism is immediately triggered to ensure that medical staff can respond quickly and take timely treatment measures to effectively prevent the condition from worsening; setting an electronic fence in combination with location information can ensure that the patient is active in the specified area and prevent him from leaving the area that may bring risks without authorization. The present application can automatically and continuously collect and analyze the patient's health data, reduce the workload of manual monitoring by medical staff, and improve work efficiency. It is of great significance to improving the quality of medical services, ensuring patient safety, and promoting medical informatization.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: 1. The personal monitoring model established through pre-input case information can provide customized monitoring for each patient's specific situation. The personalized settings can more accurately reflect the patient's health status and potential risks, thereby providing more accurate medical advice or intervention measures; 2. The smart bracelet can continuously monitor the patient's physiological information and compare it with the personal monitoring model in real time. Once an abnormality is found, the alarm mechanism will be triggered immediately to ensure that medical staff can respond quickly and take timely treatment measures to effectively prevent the disease from worsening; 3. Setting up electronic fences based on location information can ensure that patients move within the specified area and prevent them from leaving the area that may cause risks without permission; 4. When there are many patients to be examined, this application automatically prompts the patient's smart bracelet to be examined. Medical staff and examiners select patients to be examined based on the smart bracelet, reducing the difficulty of the work of leading medical staff and examiners; 5. In the daily life of hospitalized patients, targeted use of daily equipment is carried out according to the individual situation of each patient while ensuring the safety of the patient, reducing the work pressure of medical staff and ensuring the safety, practicality and convenience of items. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a structural diagram of a patient management system based on a smart bracelet in an embodiment of the present application.

[0024] Figure 2 It is a flow chart of the patient management method based on the smart bracelet in the embodiment of the present application.

[0025] Figure 3It is a structural block diagram of a patient management device based on a smart bracelet in an embodiment of the present application.

[0026] Figure 4 It is a structural block diagram of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0028] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0029] The present application embodiment discloses a patient management method based on a smart bracelet. Figure 1 and Figure 2 , executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a desktop computer, etc., but is not limited thereto. It includes (steps S101 to S105): Step S101: Acquire pre-input patient case information, physiological information and location information based on the smart bracelet.

[0030] Specifically, when a patient is admitted to the hospital, each patient is equipped with a smart bracelet, and the patient's case information is entered into the smart bracelet. Among them, the case information includes the patient's basic information, monitoring information, condition information, physical examination, auxiliary examination, and diagnosis and treatment records. Basic information includes basic information such as the patient's name, gender, age, occupation, contact information, address, etc., which helps doctors quickly understand the patient's basic situation; condition information includes the main complaint and current medical history, past history, personal history and family history, etc.; physical examination and auxiliary examination include simple conditions of major human systems such as the circulatory system, respiratory system, and digestive system, and professional physical examination results for the symptoms of this hospitalization, including test sheets (test reports), medical imaging examination data, etc., for preliminary judgment of the patient's physical condition; diagnosis and treatment records include the name of the patient's disease, description of the patient's treatment plan, surgical process, nursing conditions and other information. Therefore, a complete personal file is established through the patient's case information and stored in the smart bracelet.

[0031] In addition, the smart bracelet also has physiological monitoring and location monitoring functions. When the patient wears the smart bracelet, it monitors the patient's heart rate, blood oxygen saturation, blood pressure, body temperature, sleep status and other physiological information, and can also monitor the patient's location information.

[0032] The electronic device can communicate with each smart bracelet remotely, and can also sense the smart bracelet through the NFC sensing module or scan the barcode on the smart bracelet through a barcode scanner to obtain the information on the smart bracelet.

[0033] Step S102: Establishing a personal monitoring model for the patient according to the case information, including (steps S1021 to S1023): Step S1021: Obtain updated case information at preset intervals.

[0034] Specifically, since the patient's status may be updated, the electronic device re-acquires updated case information at preset intervals to obtain a timely updated personal monitoring model.

[0035] Step S1022: Obtain the severity level of the disease preset in the case information.

[0036] Specifically, when entering case information into the smart bracelet, the severity level of the patient's condition is set at the same time.

[0037] Step S1023: Determine the risk factors corresponding to the severity of the disease and the monitoring levels corresponding to the risk factors from the database, and generate a personal monitoring model for the patient based on the monitoring level corresponding to each risk factor, wherein the risk factors include one or more of heart rate, blood oxygen saturation, blood pressure, body temperature, and sleep status.

[0038] Specifically, the higher the severity of the disease, the more corresponding risk factors and the higher the monitoring level. The higher the monitoring level, the larger the range of the corresponding physiological signal.

[0039] Depending on the severity of the disease, the corresponding risk factors for each patient may include one or more of heart rate, blood oxygen saturation, blood pressure, body temperature, and sleep status. Taking heart rate as an example, the higher the severity of the disease and the higher the instability of the heart rate, the higher the corresponding monitoring level of the heart rate and the larger the corresponding heart rate range.

[0040] Furthermore, a personal monitoring model is generated according to the monitoring level of the risk factors corresponding to the patient. For example, if the risk factors include heart rate, blood oxygen saturation and blood pressure, the monitoring levels of heart rate and blood pressure are both level one, and the monitoring level of blood oxygen saturation is level two, where level one is higher than level two. Then the personal monitoring model includes the heart rate range and blood pressure range corresponding to the level one monitoring level, and also includes the blood oxygen saturation range corresponding to the level two monitoring level.

[0041] Step S103: determine whether the patient meets the personal monitoring model based on physiological information, and / or determine whether the patient is beyond the range of the corresponding electronic fence based on location information. If so, execute step S104: generate alarm information and send the alarm information to the monitoring terminal where the ward is located.

[0042] Among them, step S103 determines whether the patient meets the personal monitoring model based on physiological information, including: determining the risk factor corresponding to the physiological information; obtaining the physiological information range when the risk factor corresponds to the monitoring level; determining whether the physiological information is within the physiological information range; if so, determining that the patient meets the personal monitoring model; otherwise, determining that the patient does not meet the personal monitoring model.

[0043] Specifically, the electronic device obtains physiological information by communicating with the smart bracelet. When the patient's physiological information is not within the set range in the personal monitoring model, that is, the monitoring is abnormal, an alarm message is sent to the monitoring terminal where the ward is located. The monitoring terminal can be a terminal at the nurse station or a mobile terminal of a doctor or nurse.

[0044] On the other hand, the electronic device presets an electronic fence corresponding to each patient, that is, when the patient cannot leave the ward or ward, the electronic fence range is the ward or ward where the patient is located. When the patient's location information is not within the corresponding electronic fence, an alarm message is also generated and sent to the corresponding monitoring terminal.

[0045] When a doctor or nurse receives an alarm message, they should treat the patient in time, inform medical staff or ask for help immediately to ensure the golden treatment time, automatically monitor and shorten the treatment process, improve patient safety, and prevent patients from getting lost or leaving the hospital without permission.

[0046] Furthermore, the smart bracelet has a one-button calling and answering function. When the patient has an emergency, he can send a distress signal to the monitoring terminal through a one-button calling function, or he can answer the call from medical staff through the answering function to solve the patient's emergency in time.

[0047] Step S105: Obtain the patient's monitoring results at preset intervals, and maintain a personal monitoring model according to the patient's monitoring results, including (steps Sa to Se): Step Sa: Obtain the monitoring result corresponding to each risk factor, where the monitoring result includes monitoring success and monitoring failure.

[0048] Specifically, when an abnormality occurs in a patient, and the electronic device generates an alarm message in time based on the physiological information and notifies the monitoring terminal, the monitoring result corresponding to the abnormal risk factor is monitoring success, and the monitoring result corresponding to the risk factor that is not abnormal is monitoring failure; if the patient does not have an abnormality, but the electronic device generates an alarm message, the monitoring result corresponding to the abnormal risk factor is monitoring failure; if the patient has an abnormality and the electronic device does not detect it, or the patient calls the monitoring terminal with one click before the electronic device detects the abnormality, the monitoring result corresponding to each risk factor is monitoring failure. Each monitoring result is saved in the patient's corresponding historical database.

[0049] Step Sb: Calculate the ratio of the number of successful monitoring results to the number of monitoring results corresponding to each risk factor.

[0050] Specifically, among all the monitoring results, the greater the proportion of successful monitoring times is, the more relevant the corresponding risk factors are to the patient's needs at the current stage.

[0051] Step Sc: if the ratio is at the first level, the monitoring level corresponding to the risk factor of monitoring failure is increased by a first preset level, and the personal monitoring model is updated according to the updated monitoring level; Step Sd: if the ratio is at the second level, the monitoring level corresponding to the risk factor of monitoring failure is increased by a second preset level, and the personal monitoring model is updated according to the updated monitoring level; Step Se: If the ratio is at the third level, the personal guardianship model is not changed.

[0052] Among them, the first level, the second level and the third level increase in sequence, and the first preset level is greater than the second preset level.

[0053] Specifically, if the ratio is at the first level, the risk factors do not match the patient's current needs, then the first preset level is increased and the monitoring range corresponding to the risk factors is expanded; if the ratio is at the second level, the risk factors match the patient's current needs moderately, then the second preset level is increased and the monitoring range corresponding to the risk factors is expanded; if the ratio is at the third level, the risk factors match the patient's current needs relatively well, then the monitoring level of the risk factors will not be changed, and the personal monitoring model will not be changed.

[0054] In another possible implementation, there are many patients in the hospital, and the daily measurement of patients' health indicators is a heavy task, which increases the difficulty of the work of the leading medical staff and the inspectors. In order to facilitate the centralized management of patient inspections by medical staff, the above method further includes (steps S11 to S13): Step S11: Determine the patient's daily examination items according to the patient's case information.

[0055] Specifically, when entering case information into the smart bracelet, the patient's daily examination items are determined according to the patient's condition information.

[0056] Step S12: When the start time of the daily examination item is reached, a prompt message is sent to the patient's smart bracelet to prompt the patient to move to the examination location.

[0057] Specifically, the reminder information can be sent to the wristband by sending a broadcast message or a vibration signal, so that the patient can receive a reminder in time.

[0058] Step S13: When the patient's location information is within the range corresponding to the examination location, a light prompt message is sent to the patient's smart bracelet, causing the smart bracelet to emit light.

[0059] Specifically, when the patient arrives near the examination site, the light prompt information is convenient for attracting the attention of medical staff, so that the medical staff can lead the team to check the number and avoid missing anything.

[0060] In another possible implementation, in order to facilitate timely monitoring of the patient's medication, the above method further includes (steps S21 to S26): Step S21: Obtain the patient's medication information, which includes medication time and medication dosage corresponding to each medication time.

[0061] Specifically, the electronic device obtains preset medication information of the patient based on communication with the smart bracelet.

[0062] Step S22: When the patient's medication time arrives, determine whether the patient can take the medication independently based on the patient's case information. If the patient can take the medication independently, execute steps S23 and S24; if the patient cannot take the medication independently, execute steps S25 and S26.

[0063] Step S23: Obtain the patient's location information based on the smart bracelet.

[0064] Step S24: Determine the nurse station closest to the patient's location information, generate a first prompt message sent to the patient's smart bracelet, and the first prompt message is used to prompt the patient to pick up the medicine from the nearest nurse station Specifically, the patient case information includes relevant information on whether the patient can take the medicine on his own. The electronic device generates the first prompt information according to the patient's location, so that the patient can pick up the medicine on his own at the nearest nurse station.

[0065] Step S25: determine the distance between the patient's location information and the corresponding ward location, determine the patient's moving speed based on the patient's case information, and calculate the moving time based on the distance and the moving speed.

[0066] Step S26: Generate a third prompt message sent to the patient's smart bracelet and a fourth prompt message sent to the medical staff. The third prompt message is used to prompt the patient to return to the corresponding ward within the specified time, and the fourth prompt message is used to prompt the medical staff to go to the corresponding ward after the specified time. The specified time is greater than the moving time.

[0067] Specifically, when the patient cannot take the medicine on his own, he needs the assistance of medical staff. The patient's moving time is estimated according to the patient's location. The third prompt message prompts the patient to return to the ward, and the fourth prompt message prompts the medical staff to deliver the medicine to the ward after the specified time. In order to reserve a margin for the patient's moving time, the specified time is greater than the moving time.

[0068] Furthermore, in order to accurately estimate the patient's moving speed, the patient's moving speed is determined according to the patient's case information, wherein the patient's case information includes the patient's age, cardiopulmonary function, disease status and auxiliary equipment, including (steps S251 to S258): Step S251: Obtain the patient's historical average movement speed.

[0069] Specifically, the electronic device calculates the movement speed according to the distance and movement time of the patient moving from the initial position back to the ward in the historical information, and calculates the historical average movement speed according to multiple historical movement speeds.

[0070] Step S252: respectively determining the first index corresponding to the patient's age and cardiopulmonary function.

[0071] Step S253: Determine the corresponding ratio of the combination of age and cardiopulmonary function in the big data.

[0072] Step S254: multiply the reciprocal of the ratio by the two first exponents to obtain updated first exponents.

[0073] Specifically, the older the patient is, the lower the corresponding first index is; the weaker the cardiopulmonary function is, the lower the corresponding first index is. Cardiopulmonary function is generally related to the patient's age. The older the age, the weaker the cardiopulmonary function is. If you multiply two smaller first indexes, the result will be smaller, which may not be consistent with the actual situation.

[0074] Therefore, the electronic device determines the proportion of the combination of age and cardiopulmonary function in the big data, that is, the larger the proportion in the big data, the more common it is, and the smaller the proportion in the big data, the less common it is. Then, when the correlation degree is multiplied by the two first indexes to obtain an updated first index, the more common the combination, the smaller the inverse of the proportion, and the smaller the change of the updated first index compared with the multiplication of the two original first indexes; the less common the combination, the larger the inverse of the proportion, and the larger the change of the updated first index compared with the multiplication of the two original first indexes.

[0075] Step S255: respectively determine the second index corresponding to the patient's disease state and the third index corresponding to the auxiliary equipment.

[0076] Specifically, the better the disease condition, the larger the second index; the more auxiliary devices such as crutches, wheelchairs, etc., the larger the corresponding third index; if there is no auxiliary device, the third index is 1.

[0077] Step S256: Calculate the average of the first index, the second index and the third index, and determine the initial moving speed corresponding to the average according to a preset table.

[0078] Specifically, in the preset table, the larger the average value is, the larger the initial moving speed is.

[0079] Step S257: comparing and determining the difference between the initial moving speed and the historical average moving speed, if the difference is within a preset range, determining the initial moving speed as the moving speed of the patient; Step S258: If the difference is not within the preset range, the modification index of the medical staff is obtained, and the initial moving speed or the historical average moving speed is used as the moving speed of the patient according to the modification index.

[0080] Specifically, if the difference is within the preset range, the estimated initial moving speed is not much different from the historical average moving speed, and the initial moving speed is more real-time, so it is used as the patient's moving speed; if the difference is not within the preset range, the estimated initial moving speed is significantly different from the historical average moving speed, and the patient's current condition is significantly different from the previous one, so the average speed is used as the patient's moving speed.

[0081] In another possible implementation, during the hospitalization process, the patient's food, clothing, housing and transportation are mostly responsible for and managed by the hospital. Medical staff carefully care for each patient, but some things still need to be done by the patient himself, such as daily drinking water, washing, changing clothes, etc.

[0082] In order to meet the needs of the majority of patients, wards are generally equipped with one or more water dispensers. However, the water temperature is usually uncontrollable and the use registration cannot be restricted, which may cause scalding to patients. Existing bedside tables or lockers usually have no locks or ordinary locks. Due to the large number of patients, it is impossible to ensure the safety of items and the convenience of use.

[0083] In order to facilitate standardized management of patients, solve safety issues in patients' lives, and alleviate the pressure on medical staff and conflicts between doctors and patients, the above method also includes (steps S31 to S34): Step S31: Determine the patient's behavior level based on the patient's case information.

[0084] Specifically, the patient presets a behavior level in the patient case information according to the different conditions. The higher the behavior level, the more devices the patient is not allowed to open, such as getting hot water, opening the ward door, opening the dressing room, opening the bedside cabinet door, etc.

[0085] Step S32: Determine the patient's operation information on each device according to the patient's behavior level, where the operation information includes whether the operation is allowed or not allowed.

[0086] Step S33: If the patient's operation information for any device is to allow the operation, the patient's preset data for any device is obtained through the smart bracelet, and any device is started according to the preset data.

[0087] Specifically, taking boiled water as an example, if the patient allows boiled water, the patient's preset data for the water dispenser is to allow operation and the temperature is the preset temperature. When the patient gets boiled water, the water dispenser recognizes the patient's smart bracelet, starts and dispenses water at the preset temperature to prevent the patient from being scalded.

[0088] Step S34: If the patient's operation information for any device is that the operation is not allowed, then any device will not be turned on.

[0089] Specifically, if the patient is not allowed to get hot water by himself, when the patient gets hot water, the water dispenser recognizes the patient's smart bracelet and does not open. Similarly, if the patient is not allowed to open the ward door, the dressing room, the bedside cabinet door, etc., the sensing devices on the ward door, the dressing room and the bedside cabinet will not open when they sense the smart bracelet.

[0090] In order to better implement the above method, the present application embodiment also provides a patient management device based on a smart bracelet, referring to Figure 3 , the patient management device 200 based on the smart bracelet includes: The data acquisition module 201 is used to acquire the patient's case information, physiological information and location information input in advance based on the smart bracelet; Model building module 202, used to build a personal monitoring model of the patient according to the case information; The judgment module 203 is used to judge whether the patient meets the personal monitoring model according to the physiological information, and / or to judge whether the patient exceeds the range of the corresponding electronic fence according to the location information; The alarm module 204 is used to generate an alarm message if the judgment module 203 judges that it is yes, and send the alarm message to the monitoring terminal where the ward is located; The model maintenance module 205 is used to obtain the patient's monitoring results at preset intervals and maintain the personal monitoring model according to the patient's monitoring results.

[0091] Furthermore, the model building module 202 is specifically used for: Get updated case information at preset intervals; Obtain the severity level of the disease preset in the case information; The risk factors corresponding to the severity of the disease and the monitoring levels corresponding to the risk factors are determined from the database, and a personal monitoring model for the patient is generated based on the monitoring level corresponding to each risk factor, wherein the risk factors include one or more of heart rate, blood oxygen saturation, blood pressure, body temperature, and sleep status.

[0092] Furthermore, the model maintenance module 205 is specifically used for: Obtain the monitoring results corresponding to each risk factor, including monitoring success and monitoring failure; Calculate the ratio of the number of successful monitoring to the number of monitoring results corresponding to each risk factor; If the ratio is at the first level, the monitoring level corresponding to the risk factor of monitoring failure is increased by a first preset level, and the personal monitoring model is updated according to the updated monitoring level; If the ratio is at the second level, the monitoring level corresponding to the risk factor of monitoring failure is increased to a second preset level, and the personal monitoring model is updated according to the updated monitoring level; If the ratio is at the third level, the individual guardianship model will not be changed; Among them, the first level, the second level and the third level increase in sequence, and the first preset level is greater than the second preset level.

[0093] Furthermore, the judgment module 203 is used to judge whether the patient meets the personal monitoring model according to the physiological information: Determine the risk factors corresponding to the physiological information; Obtain the range of physiological information when risk factors correspond to the monitoring level; Determine whether the physiological information is within the physiological information range; If so, the patient is determined to be eligible for the individual monitoring model; Otherwise, it was determined that the patient did not meet the individual monitoring model.

[0094] Furthermore, the patient management device 200 based on the smart bracelet also includes: The examination item determination module is used to determine the patient's daily examination items based on the patient's case information; A movement reminder module is used to send a reminder message to the patient's smart bracelet when the start time of the daily examination project is reached, so as to remind the patient to move to the examination location; The light-emitting module is used to send light prompt information to the patient's smart bracelet when the patient's location information is within the range corresponding to the examination location, so that the smart bracelet emits light.

[0095] Furthermore, the patient management device 200 based on the smart bracelet also includes: The medication information acquisition module is used to obtain the patient's medication information, which includes the medication time and the medication amount corresponding to each medication time; The medication judgment module is used to determine whether the patient can take the medication independently based on the patient's medical information when the patient's medication time arrives; The location information acquisition module is used to obtain the patient's location information based on the smart bracelet when the medication judgment module determines that the patient can take medication autonomously; A first prompt information generating module is used to determine the nurse station closest to the patient's location information, generate a first prompt information sent to the patient's smart bracelet, and the first prompt information is used to prompt the patient to collect medicine from the nearest nurse station; The moving time calculation module determines that the user medication judgment module cannot take medication independently, then determines the distance between the patient's location information and the corresponding ward location, determines the patient's moving speed based on the patient's case information, and calculates the moving time based on the distance and moving speed; The third and fourth prompt information generation modules are used to generate the third prompt information sent to the patient's smart bracelet and the fourth prompt information sent to the medical staff, the third prompt information is used to prompt the patient to return to the corresponding ward within the specified time, and the fourth prompt information is used to prompt the medical staff to go to the corresponding ward after the specified time, and the specified time is greater than the moving time; The patient's medical information includes the patient's age, cardiopulmonary function, disease status, and assistive devices. The patient's movement speed is determined based on the patient's medical information, including: Get the patient's historical average movement speed; Determine the first index corresponding to the patient's age and cardiopulmonary function respectively; Determine the corresponding proportion of the combination of age and cardiopulmonary function in the big data; Multiply the reciprocal of the ratio by the two first exponents to obtain an updated first exponent; respectively determining a second index corresponding to the disease state of the patient and a third index corresponding to the auxiliary device; Calculate the average of the first index, the second index and the third index, and determine the initial moving speed corresponding to the average according to a preset table; Comparing and determining the difference between the initial moving speed and the historical average moving speed, if the difference is within a preset range, determining the initial moving speed as the moving speed of the patient; If the difference is not within the preset range, the modification index of the medical staff is obtained, and the initial moving speed or the historical average moving speed is used as the moving speed of the patient according to the modification index.

[0096] Furthermore, the patient management device 200 based on the smart bracelet also includes: A behavior level determination module, used to determine the patient's behavior level based on the patient's case information; An operation information determination module, used to determine the patient's operation information on each device according to the patient's behavior level, the operation information including whether the operation is allowed or not allowed; If the patient's operation information for any device is that the operation is allowed, the patient's preset data for any device is obtained through the smart bracelet, and any device is started according to the preset data; If the patient's operation information for any device indicates that the operation is not allowed, then any device will not be turned on.

[0097] The various variations and specific examples of the methods in the aforementioned embodiments are also applicable to the patient management device based on the smart bracelet in this embodiment. Through the aforementioned detailed description of the patient management method based on the smart bracelet, those skilled in the art can clearly know the implementation method of the patient management device based on the smart bracelet in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0098] In order to better implement the above method, the present application embodiment provides an electronic device, referring to Figure 4 , the electronic device 300 includes: a processor 301, a memory 303 and a display screen 305. Among them, the memory 303 and the display screen 305 are connected to the processor 301, such as through a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0099] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0100] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus 302 may be divided into an address bus, a data bus, a control bus, etc.

[0101] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0102] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0103] Figure 4 The electronic device 300 shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0104] The embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the program is executed by the processor, the patient management method based on the smart bracelet provided in the above embodiment is implemented. The processor processes the computer program in the computer-readable storage medium, and the personal monitoring model established by the pre-input case information can be customized for the specific situation of each patient. The personalized setting can more accurately reflect the patient's health status and potential risks, thereby providing more accurate medical advice or intervention measures; the smart bracelet can continuously monitor the patient's physiological information and compare it with the personal monitoring model in real time. Once an abnormality is found, the alarm mechanism is immediately triggered to ensure that medical staff can respond quickly and take timely treatment measures to effectively prevent the condition from worsening; the electronic fence is set in combination with the location information to ensure that the patient is active in the specified area and prevent him from leaving the area that may bring risks without authorization. The present application can automatically and continuously collect and analyze the patient's health data, reduce the workload of manual monitoring by medical staff, and improve work efficiency. It is of great significance to improve the quality of medical services, ensure patient safety, and promote medical informationization.

[0105] In this embodiment, the computer-readable storage medium may be a tangible device that holds and stores instructions used by the instruction execution device. The computer-readable storage medium may be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof. Specifically, the computer-readable storage medium may be a portable computer disk, a hard disk, a USB flash drive, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, an optical disk, a magnetic disk, a mechanical encoding device, and any combination thereof.

[0106] The computer program in this embodiment includes program codes for executing all the aforementioned methods, and the program codes may include instructions corresponding to the steps of the methods provided in the above embodiments. The computer program can be downloaded from a computer-readable storage medium to various computing / processing devices, or downloaded to an external computer or external storage device via a network (such as the Internet, a local area network, a wide area network, and / or a wireless network). The computer program can be executed completely on the user's computer or as an independent software package.

[0107] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

[0108] In addition, it is to be understood that relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "comprises," "comprising," or any other variation thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device that includes a series of elements includes not only those elements, but also other elements that are not explicitly listed, or elements that are inherent to such process, method, article, or device.

Claims

1. A patient management method based on a smart bracelet, characterized in that: include: Obtain pre-entered patient case information, physiological information and location information based on the smart bracelet; Establishing a personal monitoring model for the patient according to the case information; Determining whether the patient meets the personal monitoring model based on the physiological information, and / or determining whether the patient is beyond the range of the corresponding electronic fence based on the location information; If yes, an alarm message is generated and sent to the monitoring terminal of the ward; The monitoring results of the patient are obtained at preset time intervals, and the personal monitoring model is maintained according to the monitoring results of the patient.

2. The method according to claim 1, characterized in that The step of establishing a personal monitoring model for the patient according to the case information includes: Obtain updated case information at preset intervals; Obtaining the severity level of the disease preset in the case information; Determine from a database the risk factors corresponding to the severity of the illness and the monitoring levels corresponding to the risk factors, and generate a personal monitoring model for the patient based on the monitoring level corresponding to each risk factor, wherein the risk factors include one or more of heart rate, blood oxygen saturation, blood pressure, body temperature, and sleep status.

3. The method according to claim 2, characterized in that The obtaining of the patient's monitoring result and maintaining the personal monitoring model according to the patient's monitoring result include: Obtaining monitoring results corresponding to each of the risk factors, wherein the monitoring results include monitoring success and monitoring failure; Calculate the ratio of the number of monitoring successes to the number of monitoring results corresponding to each risk factor; If the ratio is at the first level, the monitoring level corresponding to the risk factor of monitoring failure is increased by a first preset level, and the personal monitoring model is updated according to the updated monitoring level; If the ratio is at the second level, the monitoring level corresponding to the risk factor of monitoring failure is increased to a second preset level, and the personal monitoring model is updated according to the updated monitoring level; If the ratio is at the third level, the personal guardianship model is not changed; The first level, the second level and the third level increase in sequence, and the first preset level is greater than the second preset level.

4. The method according to claim 1, characterized in that: The determining whether the patient meets the personal monitoring model according to the physiological information includes: determining risk factors corresponding to the physiological information; Obtaining the physiological information range when the risk factor corresponds to the monitoring level; Determining whether the physiological information is within the physiological information range; If so, the patient is determined to be eligible for the individual monitoring model; Otherwise, it was determined that the patient did not meet the individual monitoring model.

5. The method according to claim 1, characterized in that The method further comprises: Determine the patient's daily examination items according to the patient's case information; When the start time of the daily examination item is reached, a prompt message is sent to the patient's smart bracelet to prompt the patient to move to the examination location; When the patient's location information is within the range corresponding to the examination location, a light prompt message is sent to the patient's smart bracelet, causing the smart bracelet to emit light.

6. The method according to claim 1, characterized in that The method further comprises: Obtain the patient's medication information, including the time of medication and the amount of medication corresponding to each medication time; When it is time for the patient to take the medicine, determine whether the patient can take the medicine independently based on the patient's medical information; If the patient can take medication independently, the patient's location information can be obtained based on the smart bracelet; Determine the nurse station closest to the patient's location information, and generate a first prompt message sent to the patient's smart bracelet, where the first prompt message is used to prompt the patient to pick up medicine from the nearest nurse station; If the patient cannot take the medicine on his own, determining the distance between the patient's location information and the corresponding ward location, determining the patient's moving speed according to the patient's case information, and calculating the moving time according to the distance and the moving speed; Generate a third prompt message sent to the patient's smart bracelet and a fourth prompt message sent to the medical staff, wherein the third prompt message is used to prompt the patient to return to the corresponding ward within a specified time, and the fourth prompt message is used to prompt the medical staff to go to the corresponding ward after a specified time, and the specified time is greater than the moving time; The patient case information includes the patient's age, cardiopulmonary function, disease status, and auxiliary equipment. The determining the patient's moving speed according to the patient case information includes: Get the patient's historical average movement speed; respectively determining the age of the patient and the first index corresponding to the cardiopulmonary function; Determine the corresponding ratio of the combination of the age and the cardiopulmonary function in the big data; multiplying the reciprocal of the ratio by two of the first indices to obtain updated first indices; respectively determining a second index corresponding to the disease state of the patient and a third index corresponding to the auxiliary device; Calculating an average value of the first index, the second index, and the third index, and determining an initial moving speed corresponding to the average value according to a preset table; Comparing and determining the difference between the initial moving speed and the historical average moving speed, and if the difference is within a preset range, determining the initial moving speed as the moving speed of the patient; If the difference is not within the preset range, the modification index of the medical staff is obtained, and the initial moving speed or the historical average moving speed is used as the moving speed of the patient according to the modification index.

7. The method according to claim 1, characterized in that The method further comprises: determining a patient's behavior level based on the patient's case information; Determining the patient's operation information on each device according to the patient's behavior level, wherein the operation information includes allowing the operation or not allowing the operation; If the patient's operation information on any device is that the operation is allowed, the patient's preset data on the device is obtained through the smart bracelet, and the device is started according to the preset data; If the patient's operation information for any device indicates that the operation is not allowed, then any device will not be turned on.

8. A patient management device based on a smart bracelet, characterized in that: include: A data acquisition module, used to acquire pre-entered patient case information, physiological information and location information based on the smart bracelet; A model building module, used to build a personal monitoring model for the patient according to the case information; A judgment module, used to judge whether the patient meets the personal monitoring model according to the physiological information, and / or to judge whether the patient is beyond the range of the corresponding electronic fence according to the location information; An alarm module, for generating an alarm message when the judgment module judges that the alarm message is yes, and sending the alarm message to the monitoring terminal where the ward is located; The model maintenance module is used to obtain the patient's monitoring results at preset intervals and maintain the personal monitoring model according to the patient's monitoring results.

9. An electronic device, characterized in that: include: at least one processor; Memory; At least one computer program, wherein the at least one computer program is stored in the memory and configured to be executed by the at least one processor, the at least one computer program being configured to: execute the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 7.

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