Intelligent nursing method, intelligent nursing system, storage medium and program product

Abstract

The invention discloses an intelligent nursing method, an intelligent nursing system, a storage medium and a program product, and relates to the technical field of medical treatment.The method comprises the steps that electronic medical record data and physiological index data of a patient are obtained; determining personalized physiological index criteria of the patient based on the historical medical data; when at least any one physiological index does not meet the personalized physiological index standard, early warning information is pushed to a nurse terminal, and the disease development trend of the patient is evaluated according to the physiological index data; and when it is determined that the disease development trend is worsening, an emergency consultation request is pushed to a doctor terminal, and the electronic medical record data and the physiological index data of the patient are sent to the doctor terminal. By implementing the method, the nursing efficiency and precision are improved.

Description

Technical Field

[0001] The present application relates to the field of medical technology, and in particular to an intelligent nursing method, an intelligent nursing system, a storage medium and a program product. Background Art

[0002] With the development of medical technology and the deepening of population aging, the contradiction between supply and demand of medical resources has become increasingly prominent, and medical institutions need to manage and utilize limited medical resources more efficiently. In this context, smart nursing has emerged as a new nursing model, which improves nursing quality and efficiency through information technology and provides patients with better medical services.

[0003] At present, the nursing method of medical institutions is mainly to manage patient information through electronic medical record systems, obtain patient physiological indicator data through smart devices, and judge the patient's physical condition based on preset physiological indicator reference standards. When abnormal conditions are found, nursing staff and attending physicians are notified in time for diagnosis and treatment.

[0004] This nursing model has many problems in practical application. Due to the large individual differences among patients, it may be difficult to detect abnormal conditions of some patients in a timely manner using a unified physiological index reference standard, leading to misjudgment of the physiological state of some patients, thus delaying the best treatment time and affecting the patient's recovery effect. Summary of the invention

[0005] The present application provides a smart nursing method, a smart nursing system, a storage medium and a program product for improving nursing efficiency and accuracy.

[0006] In a first aspect, the present application provides a smart nursing method, which is applied to a smart nursing system, and the method includes: obtaining the patient's electronic medical record data and physiological indicator data, the electronic medical record data including personal identity information and historical medical data, the physiological indicator data including heart rate, blood pressure, body temperature, blood oxygen saturation and respiratory rate; based on the historical medical data, determining the patient's personalized physiological indicator standards, the personalized physiological indicator standards including heart rate standards, blood pressure standards, body temperature standards, blood oxygen saturation standards and respiratory rate standards; when at least any physiological indicator does not meet the personalized physiological indicator standards, pushing early warning information to the nurse side, and evaluating the patient's disease development trend based on the physiological indicator data; when it is determined that the disease development trend is worsening, pushing an emergency consultation request to the doctor side, and sending the patient's electronic medical record data and physiological indicator data to the doctor side.

[0007] By adopting the above technical solutions, the intelligent nursing system obtains the patient's electronic medical record data and physiological indicator data, and formulates personalized physiological indicator standards based on the patient's historical medical data, breaking through the limitations of the use of unified standards in traditional nursing. The intelligent nursing system can establish monitoring standards that are more in line with the patient's actual situation based on individual differences of patients, push warnings to nurses in a timely manner when abnormalities occur, and intelligently evaluate the development trend of the disease. If the development trend of the disease tends to worsen, the intelligent nursing system will automatically push an emergency consultation request to the doctor and transmit the patient's complete information, realizing the personalization, intelligence and timeliness of nursing monitoring, and effectively avoiding the misjudgment and delay of the best treatment time caused by the use of unified standards in traditional methods.

[0008] In combination with some embodiments of the first aspect, in some embodiments, the personalized physiological indicator standards of the patient are determined based on the historical medical data, and the personalized physiological indicator standards include heart rate standards, blood pressure standards, body temperature standards, blood oxygen saturation standards and respiratory rate standards, specifically including: determining the historical physiological indicator data of the patient within a preset period of time in the past through the historical medical data; performing time series analysis on the historical physiological indicator data to obtain the fluctuation pattern and stable range of each physiological indicator; based on the fluctuation pattern, aligning the historical physiological indicator data to obtain a standardized historical physiological indicator sequence; determining the personalized physiological indicator standards of the patient according to the standard historical physiological indicator sequence and the personal identity information, and the personalized physiological indicator standards include heart rate standards, blood pressure standards, body temperature standards, blood oxygen saturation standards and respiratory rate standards.

[0009] By adopting the above technical solutions, the intelligent nursing system obtains the patient's historical physiological index data within the preset time period in the past, grasps the fluctuation pattern and stable range of the patient's various physiological indicators through time series analysis, and then aligns and standardizes the data based on the fluctuation pattern, and finally determines the personalized physiological index standard in combination with personal identity information. This analysis and processing method ensures the scientificity and accuracy of the personalized standard, fully considers the patient's historical performance and individual characteristics, makes the physiological index monitoring more targeted, and can more accurately detect abnormal conditions.

[0010] In combination with some embodiments of the first aspect, in some embodiments, when at least any physiological indicator does not meet the personalized physiological indicator standard, a warning message is pushed to the nurse side, and the patient's condition development trend is evaluated based on the physiological indicator data, specifically including: based on the personalized physiological indicator standard, calculating the deviation value of each physiological indicator; determining the probability of worsening of the disease according to the deviation value of each physiological indicator and the weight of each physiological indicator; when the probability of worsening of the disease exceeds a preset threshold value of the probability of worsening of the disease, determining that the patient's condition development trend is worsening; when the probability of worsening of the disease is lower than the preset threshold value of the probability of worsening of the disease, determining that the patient's condition development trend is improving.

[0011] By adopting the above technical solutions, the intelligent nursing system not only relies on a single physiological indicator for judgment, but also calculates the deviation value of each physiological indicator and combines the weights of different physiological indicators to comprehensively evaluate the probability of disease deterioration. This evaluation method based on multi-dimensional physiological indicators and the probability of disease deterioration improves the accuracy and objectivity of disease judgment, effectively reduces the risk of misjudgment, and provides reliable data support for the decision-making of medical staff.

[0012] In combination with some embodiments of the first aspect, in some embodiments, when it is determined that the disease development trend is worsening, an emergency consultation request is pushed to the doctor's side, and the patient's electronic medical record data and physiological indicator data are sent to the doctor's side. The method also includes: visually displaying the correlation between the patient's electronic medical record data, physiological indicator data and current medication information; and receiving the medication plan sent by the doctor.

[0013] By adopting the above technical solutions, when the disease trend is worsening, the smart nursing system not only pushes emergency consultation requests, but also visualizes the relationship between the patient's electronic medical record data, physiological index data and current medication information, so that doctors can quickly and intuitively understand the patient's overall condition, especially the correlation between drug use and changes in various physiological indicators, so as to quickly make a diagnosis and formulate a more targeted medication plan. This information display method optimizes the doctor's decision-making process, improves the efficiency of diagnosis and treatment, and also provides a convenient information support platform for remote consultation.

[0014] In combination with some embodiments of the first aspect, in some embodiments, after the step of receiving the medication plan sent by the doctor, the method also includes: obtaining the first physiological indicator data of the patient within a preset first time period before medication and the second physiological indicator data within a preset second time period after medication; determining the physiological indicator change data of the patient based on the first physiological indicator data and the second physiological indicator data; calculating the medication impact value based on the physiological indicator change data; and evaluating the medication plan based on the medication impact value to obtain a medication evaluation result.

[0015] By adopting the above technical solutions, the smart nursing system compares the physiological index data of patients in a specific time period before and after medication, so as to accurately calculate the actual impact of medication on the patient's condition. This before-and-after comparison method can not only objectively evaluate the effect of the medication plan, but also promptly discover possible problems, providing medical staff with a quantitative reference for medication effects, helping to adjust the treatment plan in a timely manner, improve the accuracy and safety of medication, and ultimately achieve the optimization of personalized treatment.

[0016] In combination with some embodiments of the first aspect, in some embodiments, the physiological indicator change data is determined based on the first physiological indicator data and the second physiological indicator data, specifically including: determining the heart rate baseline value, blood pressure baseline value, body temperature baseline value, blood oxygen saturation baseline value and respiratory rate baseline value in the first physiological indicator data; determining the heart rate sampling value, blood pressure sampling value, body temperature sampling value, blood oxygen saturation sampling value and respiratory rate sampling value in the second physiological indicator data; calculating the difference sequence between each sampling value and the corresponding baseline value to obtain the physiological indicator change data.

[0017] By adopting the above technical solutions, the smart nursing system determines the baseline value before medication and the sampling value after medication, and calculates the difference sequence between the two, so as to accurately track the changes in each physiological indicator. This difference analysis method based on baseline values ​​and sampling values ​​can not only accurately reflect the changing trends of various physiological indicators of patients after medication, but also quantitatively evaluate the effects of medication, providing reliable data support for medical staff, helping to timely discover medication problems, optimize treatment plans, and improve treatment effects.

[0018] In combination with some embodiments of the first aspect, in some embodiments, after the step of evaluating the medication regimen according to the medication impact value to obtain a medication evaluation result, the method also includes: obtaining the patient's medication regimen and medication evaluation result; matching the medication regimen and the medication evaluation result in pairs to obtain a medication regimen-evaluation result data pair; and sending the medication regimen-evaluation result data pair to the patient end in chronological order.

[0019] By adopting the above technical solutions, the smart nursing system has established a closed-loop management mechanism for medication plans and medication evaluation results. By matching medication plans with medication evaluation results in pairs and sending them to the patient in chronological order, the entire treatment process can be tracked and managed. This method not only allows medical staff to clearly understand the effects of each treatment plan, but also enables patients to understand their own treatment progress, improves the transparency of the treatment process, and strengthens patient compliance. At the same time, it provides reliable historical data support for the formulation and adjustment of subsequent treatment plans, realizing intelligent treatment management.

[0020] In a second aspect, an embodiment of the present application provides a smart care system, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the smart care system to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer program product comprising instructions, which, when the computer program product is run on a smart care system, enables the smart care system to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium comprising instructions. When the instructions are executed on a smart care system, the smart care system executes the method described in the first aspect and any possible implementation method of the first aspect.

[0023] It is understandable that the smart nursing system provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the method provided in the embodiment of the present application. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be repeated here.

[0024] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By adopting the above technical solutions, the intelligent nursing system obtains the patient's electronic medical record data and physiological indicator data, and formulates personalized physiological indicator standards in combination with the patient's historical medical data, breaking through the limitations of the use of unified standards in traditional nursing. The intelligent nursing system can establish monitoring standards that are more in line with the patient's actual situation based on individual differences of patients, push warnings to nurses in a timely manner when abnormalities occur, and intelligently evaluate the development trend of the disease. If the development trend of the disease tends to worsen, the intelligent nursing system will automatically push an emergency consultation request to the doctor and transmit the patient's complete information, realizing the personalization, intelligence and timeliness of nursing monitoring, and effectively avoiding the misjudgment and delay of the best treatment time caused by the use of unified standards in traditional methods.

[0025] 2. By adopting the above technical solution, the intelligent nursing system obtains the patient's historical physiological index data within the preset time period in the past, grasps the fluctuation law and stable range of the patient's various physiological indicators through time series analysis, and then aligns and standardizes the data based on the fluctuation law, and finally determines the personalized physiological index standard in combination with personal identity information. This analysis and processing method ensures the scientificity and accuracy of the personalized standard, fully considers the patient's historical performance and individual characteristics, makes the physiological index monitoring more targeted, and can more accurately detect abnormal conditions.

[0026] 3. By adopting the above technical solutions, the intelligent nursing system determines the baseline value before medication and the sampling value after medication, and calculates the difference sequence between the two, so as to accurately track the changes in each physiological indicator. This difference analysis method based on baseline value and sampling value can not only accurately reflect the changing trend of various physiological indicators of patients after medication, but also quantitatively evaluate the effect of medication, providing reliable data support for medical staff, helping to timely discover medication problems, optimize treatment plans, and improve treatment effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a flow chart of the intelligent nursing method in the embodiment of the present application; Figure 2 is another flow chart of the intelligent nursing method in the embodiment of the present application; Figure 3 It is a schematic diagram of the physical device structure of the smart nursing system in the embodiment of the present application. DETAILED DESCRIPTION

[0028] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more of the listed items.

[0029] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0030] The following is a description of the process of the method provided by this implementation. Figure 1, which is a flow chart of the intelligent nursing method in an embodiment of the present application.

[0031] S101, obtaining the patient's electronic medical record data and physiological index data, wherein the electronic medical record data includes personal identity information and historical medical data, and the physiological index data includes heart rate, blood pressure, body temperature, blood oxygen saturation and respiratory rate; Among them, electronic medical record data refers to medical files that record and store the entire process of patient medical treatment in digital form, including complete medical information such as patient basic information, diagnosis and treatment records, and examination results; personal identity information refers to basic information that can identify and confirm the patient's identity, such as name, gender, age, ID number, etc.; historical medical data refers to all past medical records of the patient, including past medical history, surgical history, allergy history, medication records, etc.; physiological indicator data refers to various indicators reflecting the patient's physical condition collected in real time through medical monitoring equipment, including heart rate (beats per minute), blood pressure (systolic and diastolic pressure), body temperature (axillary or forehead temperature), blood oxygen saturation (the percentage of oxygenated hemoglobin in the blood) and respiratory rate (number of breaths per minute) and other key vital signs data.

[0032] Specifically, first, the smart nursing system connects to the hospital's electronic medical record database to read the patient's personal identity information and historical medical data, including outpatient and hospitalization information. At the same time, the smart nursing system collects the patient's physiological index data in real time through the smart monitoring equipment in the ward (such as multi-parameter monitors, smart thermometers, etc.). The smart nursing system automatically collects complete physiological index data at fixed time intervals (usually 5-10 minutes) and associates these physiological index data with the patient's electronic medical record data for storage.

[0033] S102. Determine personalized physiological index standards for the patient based on the historical medical data, where the personalized physiological index standards include heart rate standards, blood pressure standards, body temperature standards, blood oxygen saturation standards, and respiratory rate standards; Among them, historical medical data refers to all medical information recorded during the patient's past medical treatment; personalized physiological indicator standards refer to the normal value range of physiological indicators customized according to the individual characteristics of the patient; heart rate standards refer to the normal range of heart beats per minute applicable to the patient; blood pressure standards refer to the normal range of systolic and diastolic blood pressure applicable to the patient; body temperature standards refer to the normal range of body temperature fluctuations applicable to the patient; blood oxygen saturation standards refer to the normal range of oxygen content in the patient's blood; respiratory rate standards refer to the normal range of breaths per minute applicable to the patient.

[0034] Specifically, first, the smart care system analyzes the patient's recent historical medical data (such as the last 3 months) and identifies the change patterns and stable ranges of various physiological indicators through machine learning algorithms. Then, the smart care system combines the patient's personal characteristics such as age, gender, weight, and medical factors such as underlying diseases and medication to establish a personalized mathematical model. Based on this personalized mathematical model, the smart care system determines the specific normal value range for each physiological indicator, including the maximum value, minimum value, and fluctuation threshold, to determine the personalized physiological indicator standards. These personalized physiological indicator standards will be dynamically adjusted according to changes in the patient's condition, automatically updated every 24 hours, and can also be manually adjusted by the doctor in special circumstances.

[0035] Optionally, under normal circumstances, based on the historical medical data, the patient's personalized physiological indicator standards are determined, and the personalized physiological indicator standards include heart rate standards, blood pressure standards, body temperature standards, blood oxygen saturation standards and respiratory rate standards. They can be achieved in the following ways, which are not limited here: through the historical medical data, the patient's historical physiological indicator data within a preset period of time in the past is determined; a time series analysis is performed on the historical physiological indicator data to obtain the fluctuation pattern and stable range of each physiological indicator; based on the fluctuation pattern, the historical physiological indicator data is aligned to obtain a standardized historical physiological indicator sequence; based on the standard historical physiological indicator sequence and the personal identity information, the patient's personalized physiological indicator standards are determined, and the personalized physiological indicator standards include heart rate standards, blood pressure standards, body temperature standards, blood oxygen saturation standards and respiratory rate standards.

[0036] S103, when at least one of the physiological indicators does not meet the personalized physiological indicator standard, push warning information to the nurse end, and evaluate the patient's disease development trend based on the physiological indicator data; Among them, the nurse side refers to the mobile terminal device or workstation used by nursing staff; the early warning information refers to the reminder message pushed by the smart nursing system when it finds abnormalities in the patient; the disease development trend refers to the development of the patient's condition, which may tend to normal or worsen.

[0037] Specifically, every time the smart nursing system obtains new physiological indicator data, it immediately compares it with the personalized physiological indicator standard. When any physiological indicator is found to be out of the normal range, the smart nursing system immediately calculates the degree and duration of the excess, and determines the warning level according to the preset risk level (divided into mild, moderate, and severe levels). At the same time, the smart nursing system analyzes the trend of changes in physiological indicators in the last 4 hours, and calculates the overall probability of deterioration based on the weights of each physiological indicator (such as heart rate weight 0.3, blood pressure weight 0.25, etc.). The early warning information will be pushed simultaneously through multiple channels such as the nurse station display screen and mobile nursing terminals, and will be accompanied by key information such as the patient's bed number, abnormal indicators, and current values. The smart nursing system maintains continuous monitoring until the abnormality is resolved or the indicators return to normal.

[0038] The following is an example of calculating the probability of disease progression and disease warning, which is not limited here: (1) Calculation of abnormality of a single physiological index: Calculate the percentage of physiological index values ​​deviating from the normal range: upper limit of normal range: (actual value - upper limit) / upper limit × 100%, lower limit of normal range: (lower limit - actual value) / lower limit × 100%; (2) Abnormal duration assessment: The time point when the physiological indicators began to become abnormal was recorded, and the duration of abnormality was accumulated in units of 15 minutes. The duration of abnormality was graded as follows: <30 minutes for mild, 30-60 minutes for moderate, and >60 minutes for severe. (3) Determination of warning level: Mild warning: a single physiological indicator deviates by less than 20% and the abnormality lasts for less than 30 minutes; moderate warning: a single physiological indicator deviates by 20%-50% or the abnormality lasts for 30-60 minutes; severe warning: a single physiological indicator deviates by more than 50% or the abnormality lasts for more than 60 minutes; (4) Assessment of overall disease development trend: Collect the data points of the last 4 hours, calculate the linear regression slope for each physiological indicator, multiply the slope by the corresponding weight (such as 0.3 for heart rate, 0.25 for blood pressure, etc.), and the sum of the weighted slopes greater than 0 indicates an overall deterioration; (5) Comprehensive warning score: Basic score: 20 points for mild, 50 points for moderate, 80 points for severe. Bonus for number of abnormal items: 10 points for each additional abnormal physiological indicator. Bonus for duration of abnormality: 5 points for every 30 minutes exceeding the duration. A total score >80 points triggers an emergency warning.

[0039] Optionally, under normal circumstances, when at least any one of the physiological indicators does not meet the personalized physiological indicator standard, a warning message is pushed to the nurse side, and the patient's condition development trend is evaluated based on the physiological indicator data in the following ways, which are not limited here: based on the personalized physiological indicator standard, the deviation value of each physiological indicator is calculated; based on the deviation value of each physiological indicator and the weight of each physiological indicator, the probability of worsening of the disease is determined; when the probability of worsening of the disease exceeds the preset probability threshold of worsening of the disease, the patient's condition development trend is determined to be worsening; when the probability of worsening of the disease is lower than the preset probability threshold of worsening of the disease, the patient's condition development trend is determined to be improved.

[0040] In other embodiments, two thresholds may be set to distinguish the development trend of the disease, for example, a deterioration threshold (such as 0.7) and an improvement threshold (such as 0.3).

[0041] This allows the disease trend to be divided into three states: (1) When the probability of worsening of the disease is greater than the worsening threshold, the disease trend is judged to be worsening; (2) When the probability of worsening of the condition is less than the threshold of improvement, the condition is judged to be improving; (3) When the probability of disease worsening is between two thresholds: the disease trend is judged to be stable.

[0042] S104: When it is determined that the disease condition is deteriorating, an emergency consultation request is pushed to the doctor, and the patient's electronic medical record data and physiological indicator data are sent to the doctor.

[0043] Among them, the doctor's end refers to the mobile terminal device or workstation used by the attending physician; the emergency consultation request refers to the diagnosis and treatment request issued by the smart nursing system that requires the doctor to handle it immediately; the deterioration trend of the disease means that the patient's physical condition is developing in an unfavorable direction.

[0044] Specifically, first, the smart nursing system determines the attending physician and backup physician on duty based on the pre-set doctor schedule, and organizes all the patient's physiological index data in the past 24 hours to generate a chart of the disease development trend. The smart nursing system packages the patient's complete electronic medical records, real-time physiological indicators, medication records, test results and other information, and sends them to the doctor's mobile terminal and office terminal through the hospital intranet, and sends consultation invitations to experts in related departments. The entire process maintains real-time communication and continuously updates the patient's status until the doctor confirms receipt of the information and takes action. If the attending physician does not respond within the preset time (such as 5 minutes), the smart nursing system automatically notifies the backup doctor.

[0045] By adopting the above technical solutions, the intelligent nursing system obtains the patient's electronic medical record data and physiological indicator data, and formulates personalized physiological indicator standards based on the patient's historical medical data, breaking through the limitations of the use of unified standards in traditional nursing. The intelligent nursing system can establish monitoring standards that are more in line with the patient's actual situation based on individual differences of patients, push warnings to nurses in a timely manner when abnormalities occur, and intelligently evaluate the development trend of the disease. If the development trend of the disease tends to worsen, the intelligent nursing system will automatically push an emergency consultation request to the doctor and transmit the patient's complete information, realizing the personalization, intelligence and timeliness of nursing monitoring, and effectively avoiding the misjudgment and delay of the best treatment time caused by the use of unified standards in traditional methods.

[0046] The following is a more detailed description of the process of the method provided by this implementation. Figure 2 , is another flow chart of the smart nursing method in the embodiment of the present application.

[0047] After step S104, the following steps may be performed, which are not limited here: S201, visually displaying the correlation between the electronic medical record data, physiological index data and current medication information of the patient; Among them, current medication information refers to detailed information on all medications currently being used by the patient, including drug name, dosage, method of administration, and time of use; association refers to the mutual influence and dependency between these three types of data; and visualization refers to converting complex data relationships into intuitive graphical interface displays, such as trend charts, relationship charts, heat maps, etc.

[0048] Specifically, first, the smart nursing system organizes and analyzes all the patient's recent (such as the last 72 hours) electronic medical record data, physiological indicator data and current medication information, and establishes a time series association between the data. Through the distributed computing engine, the smart nursing system marks the key medical events in the electronic medical record data (such as medication time points, treatment operations, etc.) on the timeline, and generates a multi-dimensional physiological indicator change curve, and marks the medication time and dosage on the physiological indicator change curve. The smart nursing system uses different colors and graphic symbols to distinguish different types of data, and uses connecting lines, arrows and other elements to show the causal relationship between data. The smart nursing system also provides interactive functions such as data zooming, time period selection, and indicator screening to support doctors in in-depth analysis. When abnormal fluctuations are found, the smart nursing system automatically marks and provides related medication records and medical record information to assist doctors in quickly finding possible causes.

[0049] S202, receiving the medication plan sent by the doctor; Among them, the medication plan refers to the detailed treatment plan prescribed by the doctor, which includes specific medication instructions, medication schedule, administration route and medication precautions. Medication instructions are used to indicate specific contents such as drug selection, dosage, usage, and course of treatment. The medication schedule refers to the specific time arrangement for the use of drugs. The administration route is used to indicate the way the drug enters the human body, such as oral, intravenous injection, etc. Medication precautions refer to the contents that need special attention during the medication process.

[0050] Specifically, first, the smart care system verifies the integrity and standardization of the received medication regimen, including the accuracy of information such as drug name, specifications, dosage, and usage. Then, the smart care system converts the medication regimen into a standardized electronic doctor's order format and automatically generates a detailed medication schedule. The smart care system analyzes the interaction between the new medication regimen and the patient's existing medications. If a potential risk of drug interaction is found, the doctor will be notified immediately for confirmation. The smart care system establishes a medication execution tracking mechanism to record the specific time, executor, actual medication dosage, and other information of each medication operation. When the execution is completed, the smart care system automatically updates the patient's medication record and feeds back the execution status to the doctor.

[0051] S203, obtaining the first physiological indicator data of the patient within a preset first time period before taking the medicine and the second physiological indicator data within a preset second time period after taking the medicine; Among them, the first time period preset before medication refers to an observation time set before medication, usually 2-4 hours; the second time period preset after medication refers to an observation time set after medication, usually 4-6 hours; the first physiological indicator data refers to all vital signs data collected during the time period before medication; the second physiological indicator data refers to all vital signs data recorded during the time period after medication.

[0052] Specifically, first, the smart nursing system determines the specific time point of medication administration, traces back to the preset first time period (such as 3 hours), and collects all the patient's physiological index data during this period, namely the first physiological index data, including heart rate, blood pressure, body temperature, etc., with a collection frequency of once every 5 minutes. At the same time, the smart nursing system sets a preset second time period (such as 4 hours) after medication administration, and the smart nursing system continues to collect all the patient's physiological index data during this period, namely the second physiological index data.

[0053] S204, determining physiological indicator change data of the patient according to the first physiological indicator data and the second physiological indicator data; Specifically, first, the smart nursing system preprocesses the collected raw data, including noise removal, data standardization and smoothing. Then, the smart nursing system calculates the specific change values ​​of each physiological indicator at each time point, including the absolute change value and the relative change rate. The smart nursing system uses a time series analysis algorithm to identify the change trend of each physiological indicator and generate a trend curve. For data points with large fluctuations, the smart nursing system automatically marks and analyzes the time and possible reasons for their occurrence, and calculates the statistical characteristics of each physiological indicator, such as the mean, standard deviation, coefficient of variation, etc., and finally obtains complete physiological indicator change data, among which the physiological indicator change data refers to the changes in various physiological indicators before and after medication, including numerical changes, trend charts and abnormal markers.

[0054] S205, calculating the medication impact value based on the physiological indicator change data; Specifically, first, the smart nursing system sets the weights of various physiological indicators (such as heart rate 0.3, blood pressure 0.25, etc.) according to the characteristics of the drug and the treatment goals. The smart nursing system substitutes the change values ​​of various physiological indicators into the medication impact assessment model, which takes into account the three dimensions of change amplitude, change speed and duration. The smart nursing system calculates the normalized medication impact value, where the medication impact value refers to a numerical indicator that quantitatively evaluates the impact of the drug on the patient's physiological state, ranging from 0-100, where 50 points represent a neutral impact, greater than 50 points represent a positive impact, and less than 50 points represent a negative impact.

[0055] S206, evaluating the medication regimen according to the medication impact value to obtain a medication evaluation result; Specifically, first, the smart nursing system compares the medication impact value with the preset evaluation criteria, which include five levels: markedly effective (80-100 points), effective (60-79 points), general (40-59 points), ineffective (20-39 points), and poor (0-19 points). At the same time, the smart nursing system analyzes the appropriateness of the medication plan based on the individual characteristics and treatment goals of the patient. The smart nursing system evaluates whether factors such as drug dosage, administration time, and course of treatment are reasonable, and checks whether there is a potential risk of adverse reactions. Based on the evaluation results, the smart nursing system automatically generates detailed medication evaluation results.

[0056] S207. Obtain the patient's medication regimen and medication evaluation results; Specifically, referring to step S202 and step S206, the smart nursing system obtains the patient's medication regimen and medication evaluation results.

[0057] S208, matching the medication regimen and the medication evaluation result in pairs to obtain a medication regimen-evaluation result data pair; Specifically, first, the smart nursing system confirms the correspondence between the medication regimen and the medication evaluation result based on the timestamp and the doctor's order number, and binds the medication regimen and the corresponding medication evaluation result to form a medication regimen-evaluation result data pair. The smart nursing system generates a unique association identifier for each medication regimen-evaluation result data pair to facilitate subsequent tracking and query.

[0058] S209. Send the medication regimen-evaluation result data pair to the patient in chronological order.

[0059] Among them, the patient end refers to the mobile application or network platform used by the patient; the chronological order refers to the time series according to the time of medication execution.

[0060] Specifically, first, the smart nursing system sorts all medication regimen-evaluation result data pairs according to the medication time to ensure that the information is displayed according to the timeline. Before sending it to the patient, the smart nursing system encrypts the data and uses the Advanced Encryption Standard (AES) to ensure transmission security. The smart nursing system pushes the medication regimen-evaluation result data pairs to the patient through a preset secure data transmission channel, while monitoring the transmission status. The content sent by the smart nursing system includes medication details (drug name, usage and dosage, precautions) and corresponding evaluation results (effect rating, recommended measures). The smart nursing system will require the patient to return a receipt confirmation message to ensure that the data is successfully delivered. For data that is not successfully received, the smart nursing system will automatically retry sending.

[0061] Optionally, under normal circumstances, determining the physiological indicator change data based on the first physiological indicator data and the second physiological indicator data can be achieved in the following manner, which is not limited here: determining the heart rate baseline value, blood pressure baseline value, body temperature baseline value, blood oxygen saturation baseline value and respiratory rate baseline value in the first physiological indicator data; determining the heart rate sampling value, blood pressure sampling value, body temperature sampling value, blood oxygen saturation sampling value and respiratory rate sampling value in the second physiological indicator data; calculating the difference sequence between each sampling value and the corresponding baseline value to obtain the physiological indicator change data.

[0062] The following describes the smart nursing system in the embodiment of the present invention from the perspective of hardware processing. Figure 3 , which is a schematic diagram of a physical device structure of the smart nursing system in an embodiment of the present application.

[0063] It should be noted that Figure 3 The structure of the smart care system shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0064] like Figure 3As shown, the smart nursing system includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 to the random access memory (RAM) 303, such as executing the method described in the above embodiment. In RAM 303, various programs and data required for system operation are also stored. CPU 301, ROM 302 and RAM 303 are connected to each other through bus 304. Input / output (I / O) interface 305 is also connected to bus 304.

[0065] The following components are connected to the I / O interface 305: an input section 306 including an audio input device, a button switch, etc.; an output section 307 including a liquid crystal display (LCD) and an audio output device, an indicator light, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read therefrom is installed into the storage section 308 as needed.

[0066] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication part 309, and / or installed from a removable medium 311. When the computer program is executed by the central processing unit (CPU) 301, various functions defined in the present invention are performed.

[0067] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device.

[0068] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings.

[0069] Specifically, the smart nursing system of this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, the smart nursing method provided in the above embodiment is implemented.

[0070] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the smart nursing system described in the above embodiment; or may exist independently without being assembled into the smart nursing system. The above storage medium carries one or more computer programs, and when the above one or more computer programs are executed by a processor of the smart nursing system, the smart nursing system implements the smart nursing method provided in the above embodiment.

[0071] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0072] As used in the above embodiments, the term "when..." may be interpreted to mean "if..." or "after..." or "in response to determining..." or "in response to detecting...", depending on the context. Similarly, the phrases "upon determining..." or "if (the stated condition or event) is detected" may be interpreted to mean "if determining..." or "in response to determining..." or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)", depending on the context.

[0073] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

Claims

1. A smart nursing method, characterized in that: Applied to a smart nursing system, the method comprises: Obtaining the patient's electronic medical record data and physiological index data, wherein the electronic medical record data includes personal identity information and historical medical data, and the physiological index data includes heart rate, blood pressure, body temperature, blood oxygen saturation and respiratory rate; Based on the historical medical data, determining the patient's personalized physiological index standards, the personalized physiological index standards including heart rate standards, blood pressure standards, body temperature standards, blood oxygen saturation standards and respiratory rate standards; When at least one of the physiological indicators does not meet the personalized physiological indicator standard, push warning information to the nurse end, and evaluate the patient's condition development trend based on the physiological indicator data; When it is determined that the disease is developing in a worsening trend, an emergency consultation request is pushed to the doctor, and the patient's electronic medical record data and physiological indicator data are sent to the doctor.

2. The method according to claim 1, characterized in that Based on the historical medical data, the personalized physiological index standard of the patient is determined, and the personalized physiological index standard includes a heart rate standard, a blood pressure standard, a body temperature standard, a blood oxygen saturation standard and a respiratory rate standard, specifically including: Determine the historical physiological index data of the patient within a preset period of time in the past through the historical medical data; Performing time series analysis on the historical physiological index data to obtain fluctuation patterns and stable intervals of various physiological indexes; Based on the fluctuation law, the historical physiological indicator data are aligned to obtain a standardized historical physiological indicator sequence; The personalized physiological indicator standards of the patient are determined according to the standard historical physiological indicator sequence and the personal identity information, and the personalized physiological indicator standards include heart rate standards, blood pressure standards, body temperature standards, blood oxygen saturation standards and respiratory rate standards.

3. The method according to claim 1, characterized in that When at least one physiological indicator does not meet the personalized physiological indicator standard, a warning message is pushed to the nurse side, and the patient's condition development trend is evaluated based on the physiological indicator data, specifically including: Based on the personalized physiological indicator standard, calculating the deviation value of each physiological indicator; Determining the probability of disease progression according to the deviation values ​​of the various physiological indicators and the weights of the various physiological indicators; When the probability of disease progression exceeds a preset disease progression probability threshold, determining that the patient's disease progression trend is progression; When the probability of the disease worsening is lower than the preset disease worsening probability threshold, it is determined that the disease condition of the patient is improving.

4. The method according to claim 1, characterized in that: When it is determined that the disease development trend is worsening, after the step of pushing an emergency consultation request to the doctor side and sending the patient's electronic medical record data and physiological index data to the doctor side, the method further includes: Visually displaying the correlation between the patient's electronic medical record data, physiological index data, and current medication information; Receive the medication plan sent by the doctor.

5. The method according to claim 4, characterized in that After the step of receiving the medication regimen sent by the doctor, the method further includes: Acquire the first physiological index data of the patient within a preset first time period before medication and the second physiological index data within a preset second time period after medication; Determining physiological indicator change data of the patient according to the first physiological indicator data and the second physiological indicator data; Calculate the medication impact value based on the physiological index change data; The medication regimen is evaluated according to the medication impact degree value to obtain a medication evaluation result.

6. The method according to claim 5, characterized in that The determining of physiological indicator change data according to the first physiological indicator data and the second physiological indicator data specifically includes: Determine a heart rate reference value, a blood pressure reference value, a body temperature reference value, a blood oxygen saturation reference value, and a respiratory rate reference value in the first physiological indicator data; Determine the heart rate sampling value, blood pressure sampling value, body temperature sampling value, blood oxygen saturation sampling value and respiratory rate sampling value in the second physiological indicator data; The difference sequence between each sampling value and the corresponding reference value is calculated to obtain the physiological index change data.

7. The method according to claim 5, characterized in that After the step of evaluating the medication regimen according to the medication impact value to obtain a medication evaluation result, the method further includes: Obtain patients' medication regimens and medication evaluation results; Matching the medication regimen and the medication evaluation result in pairs to obtain a medication regimen-evaluation result data pair; The medication regimen-assessment result data pair is sent to the patient end in chronological order.

8. A smart nursing system, characterized in that: The smart care system includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the smart care system to execute the method described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instruction is executed on the smart care system, the smart care system is caused to execute the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product is executed on a smart care system, the smart care system is enabled to execute the method according to any one of claims 1 to 7.

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