Clinical path generation method and device based on medical advice data and electronic equipment

Abstract

The invention provides a clinical path generation method and device based on medical advice data and electronic equipment, and relates to the technical field of medical treatment, and the method comprises the steps: firstly, according to a treatment stage division rule, determining clinical path stages corresponding to target doctor seeing information data, and target medical advice code sets corresponding to the stages; the target treatment information data comprises basic hospitalization information of the patient; determining a doctor's advice template of each stage based on the execution proportion of the doctor's advice items of each stage; determining a target doctor's advice scheme according to the doctor's advice template of each stage; and finally, executing the target doctor's advice scheme to generate the clinical pathway, thereby solving the technical problems of low precision and low efficiency of clinical pathway generation, and achieving the technical effects of reducing the maintenance difficulty of the doctor's advice template and improving the generation accuracy and generation efficiency of the clinical pathway.

Description

Technical Field

[0001] The present invention relates to the field of medical technology, and in particular to a method, device and electronic equipment for generating a clinical pathway based on medical order data. Background Art

[0002] Clinical pathway refers to a set of standardized treatment models and treatment procedures established for a certain disease. It is a comprehensive model of clinical treatment, which promotes treatment organization and disease management methods guided by evidence-based medicine and guidelines. The ultimate goal of using clinical pathways in practical applications is to standardize medical behavior, reduce variation, reduce costs, and improve quality. However, the formulation of traditional clinical pathways often relies on the experience and subjective judgment of clinical experts, lacks scientific data support, and the quality of pathway generation is unstable and the generation efficiency is low, which limits the applicability and effectiveness of clinical pathways.

[0003] With the development of medical informatization, medical order data, as important information generated in the medical process, provides a rich data source for the formulation of clinical pathways. However, how to efficiently process and analyze these medical order data and extract valuable information for the formulation of clinical pathways has become an urgent problem to be solved. The medical order templates of traditional clinical pathways are difficult to maintain and lack objectivity, and cannot provide effective guidance for clinical pathway maintenance. In other words, there are technical problems in the existing technology of low accuracy and low efficiency in the generation of clinical pathways. Summary of the invention

[0004] The purpose of the present invention is to provide a method, device and electronic device for generating a clinical pathway based on medical order data, so as to solve the technical problems of low accuracy and low efficiency of clinical pathway generation existing in the prior art.

[0005] In the first aspect, an embodiment of the present invention provides a clinical pathway generation method based on medical order data, the method comprising: determining the clinical pathway stage corresponding to the target medical information data and the target medical order code set corresponding to each stage according to the treatment stage division rule; the target medical information data includes the patient's basic hospitalization information; the target medical order code set includes the code of at least one medical order item; based on the execution ratio of the medical order items in each stage, determining the medical order template for each stage; the medical order template includes: the target medical order item and the execution ratio of the target medical order item; determining the target medical order plan according to the medical order template for each stage; and executing the target medical order plan to generate a clinical pathway.

[0006] In some optional implementations, the above-mentioned patient basic hospitalization information includes hospitalization diagnosis information; the above-mentioned method also includes: determining a target medical visit information data set based on the hospitalization diagnosis information, the above-mentioned hospitalization diagnosis information includes: hospitalization time, diagnosis ICD code and / or diagnosis name; based on the above-mentioned target medical visit information data set, determining the total effective medical visit amount and medical order data set; the above-mentioned target medical visit information data set includes several target medical visit information data; the above-mentioned medical order data set includes the effective medical order information during the hospitalization period corresponding to each target medical visit information data; the above-mentioned effective medical order information includes medical order items and the codes of the medical order items.

[0007] In some optional implementations, the clinical pathway stage corresponding to the target medical information data is determined according to the treatment stage division rules, including: determining the treatment stage division rules based on the diagnostic ICD code and / or diagnosis name; the above-mentioned treatment stage division rules include the number of clinical treatment stages and the corresponding number of days for each treatment stage; according to the above-mentioned treatment stage division rules, the hospitalization time of each of the above-mentioned target medical information data is divided to determine the clinical pathway stage corresponding to the above-mentioned target medical information data; the above-mentioned clinical pathway stage includes the number of days distributed in the pathway stage.

[0008] In some optional implementations, the above-mentioned valid medical order information includes the medical order start time; according to the treatment stage division rules, the clinical pathway stage corresponding to the target medical information data and the target medical order code set corresponding to each stage are determined, including: based on the above-mentioned path stage distribution days and the above-mentioned medical order start time, the above-mentioned path stage of each medical order data in the above-mentioned medical order data set is determined; the target medical order set corresponding to each stage is determined; according to the above-mentioned valid medical order information, the target medical order code set corresponding to each stage is determined.

[0009] In some optional implementations, the target medical order coding set corresponding to each stage is determined based on the above-mentioned valid medical order information, including: deduplicating the above-mentioned target medical order coding set corresponding to each stage according to the coding of the above-mentioned medical order items, and determining the target medical order coding set corresponding to each stage.

[0010] In some optional implementations, the above method also includes: determining the number of executions of the medical order item stage in the target medical order code set corresponding to each stage; the above number of executions of the medical order item stage is the number of times the medical order item corresponding to each target medical order code is executed in the current stage corresponding to the above total effective visits; based on the above number of executions of the medical order item stage and the above total effective visits, determining the execution ratio of the above medical order items in each stage.

[0011] In some optional implementations, based on the execution ratio of the above-mentioned medical order items at each stage, the medical order template for each stage is determined, including: determining the classification threshold of the medical order items, the above-mentioned medical order item classification threshold includes: a threshold range of Class I medical order items and a threshold range of Class II medical order items; the above-mentioned Class I medical order items are required items, and the above-mentioned Class II medical order items are recommended items; based on the execution ratio of the above-mentioned medical order items at each stage and the above-mentioned medical order item classification threshold, the medical order item set for each stage is determined; the above-mentioned medical order item set includes: a Class I medical order item set and a Class II medical order item set; based on the above-mentioned Class I medical order item set and the above-mentioned Class II medical order item set, at least one Class I medical order item and at least one Class II medical order item, as well as the execution ratios corresponding to the above-mentioned medical order items are determined to generate medical order templates for each stage.

[0012] In the second aspect, an embodiment of the present invention provides a clinical pathway generation device based on medical order data, the device comprising: a first determination module, used to determine the clinical pathway stage corresponding to the target medical information data and the target medical order code set corresponding to each stage according to the treatment stage division rule; the above-mentioned target medical information data includes the patient's basic hospitalization information; the above-mentioned target medical order code set includes the code of at least one medical order item; a medical order template determination module, used to determine the medical order template for each stage based on the execution ratio of the above-mentioned medical order items in each stage; the above-mentioned medical order template includes: the target medical order item and the execution ratio of the above-mentioned target medical order item; the target medical order plan determination module, used to determine the target medical order plan according to the medical order template of each stage; and a clinical pathway generation module, used to execute the above-mentioned target medical order plan to generate a clinical pathway.

[0013] In a third aspect, an embodiment of the present invention provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program executable on the processor, and when the processor executes the computer program, the steps of any one of the methods described in the first aspect are implemented.

[0014] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to execute any method described in the first aspect.

[0015] The present invention provides a method, device and electronic device for generating a clinical pathway based on medical order data. The method comprises: firstly, according to a treatment stage division rule, determining a clinical pathway stage corresponding to target medical information data and a target medical order code set corresponding to each stage; the target medical information data comprises basic hospitalization information of the patient; then, based on the execution ratio of medical order items in each stage, determining a medical order template for each stage; then, determining a target medical order plan according to the medical order template for each stage; and finally, executing the target medical order plan to generate a clinical pathway. The method solves the technical problems of low accuracy and low efficiency in generating a clinical pathway, and achieves the technical effect of reducing the difficulty of maintaining medical order templates and improving the accuracy and efficiency of generating a clinical pathway. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A flowchart of a method for generating a clinical pathway based on medical order data provided by an embodiment of the present invention;

[0018] Figure 2 A graphical display interface for confirming the generation result of a clinical pathway medical order template provided in an embodiment of the present invention;

[0019] Figure 3 A schematic diagram of the structure of a clinical pathway generating device based on medical order data provided by an embodiment of the present invention;

[0020] Figure 4 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0022] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. Some embodiments of the present invention are described in detail below in conjunction with the drawings. The following embodiments and features in the embodiments can be combined with each other without conflict.

[0024] The formulation of traditional clinical pathways often relies on the experience and subjective judgment of clinical experts, and the management and maintenance of clinical pathways are based on the experience of clinical doctors and management departments. For example, the steps for generating traditional clinical pathways include: (1) Based on the clinical experience of doctors, clinical departments make modifications to the standard version of clinical pathways in combination with the actual clinical work of the hospital, including recommended medical order items and mandatory medical order items in the pathway. (2) Convene a departmental pathway discussion meeting to decide which medical orders are mandatory, which are recommended, and which should be removed from the pathway based on the discussion results of doctors within the department. After several iterations, a customized clinical pathway template document is finally formed. (3) The clinical pathway template document finally obtained according to the above steps is maintained in the clinical pathway system for use.

[0025] The above traditional clinical pathway generation methods have the following problems: they are not objective, lack data support, and rely only on the experience of doctors involved in pathway maintenance. The level and participation of doctors have a great impact on the quality of the pathway. All doctors who use the clinical pathway need to participate, and after multiple rounds of discussions, it consumes a lot of manpower. The maintained pathway is also difficult to apply to the actual clinical patients' treatment needs, resulting in a low pathway entry rate, a high mutation rate, and inconvenience for doctors to use. Many versions need to be iterated repeatedly to meet the actual clinical needs, and ultimately may not achieve the expected purpose.

[0026] With the development of medical informatization, medical order data, as important information generated in the medical process, provides a rich data source for the formulation of clinical pathways. However, how to efficiently process and analyze these medical order data and extract valuable information for the formulation of clinical pathways has become an urgent problem to be solved. The medical order templates of traditional clinical pathways are difficult to maintain and lack objectivity, and cannot provide effective guidance for clinical pathway maintenance. In other words, there are technical problems in the existing technology of low accuracy and low efficiency in the generation of clinical pathways.

[0027] Based on this, the embodiments of the present invention provide a method, device and electronic device for generating a clinical pathway based on medical order data to solve the technical problems of low accuracy and low efficiency of clinical pathway generation in the prior art.

[0028] To facilitate understanding of this embodiment, a clinical pathway generation method based on medical order data disclosed in an embodiment of the present invention is first described in detail. Figure 1 The flowchart of a method for generating a clinical pathway based on medical order data is shown in FIG. 1 , which can be executed by an electronic device and mainly includes the following steps S110 to S140:

[0029] S110: Determine the clinical pathway stage corresponding to the target medical information data and the target medical order code set corresponding to each stage according to the treatment stage division rule;

[0030] The target medical information data includes basic hospitalization information of the patient; the target medical order code set includes the code of at least one medical order item. In one embodiment, the basic hospitalization information of the patient includes hospitalization diagnosis information; the hospitalization diagnosis information includes: hospitalization time, diagnosis ICD code and / or diagnosis name.

[0031] In one embodiment, before the above S110, the method may further include: determining a target medical consultation information data set according to the inpatient diagnosis information; and determining a total number of effective medical consultations and a medical advice data set based on the target medical consultation information data set.

[0032] Among them, the target medical information data set includes several target medical information data; the medical order data set includes the valid medical order information during the hospitalization period corresponding to each target medical information data; the valid medical order information includes medical order items and the codes of the medical order items.

[0033] That is to say, the hospitalization diagnosis information in the historical patient treatment data is obtained, and several target medical information data are determined through the same diagnostic ICD code and / or diagnosis name to form a target medical information data set; and the number of medical information in the target medical information data set is counted to obtain the total number of valid medical visits; then based on the target medical information data set, the valid medical order data set during the hospitalization period is determined, that is, according to each target medical information data in the target medical information data set, the corresponding valid medical order information during the hospitalization period is obtained to form a medical order data set.

[0034] Among them, the several pieces of target medical information data constituting the target medical information data set can be selected from the valid medical data set of patients matching the admission date in the historical patient medical data, and the target medical data that conforms to the diagnosis ICD code and / or diagnosis name specified in the current clinical pathway entry rules. Hospitalization diagnosis information can include the following attributes:

[0035] Chinese name English name Hospitalization sign ENCOUNTER_ID Date and time of admission ADMITTED_AT Personal information identification PERSON_ID Discharge date and time DISCHARGED_FROM_HOSPITAL_AT Admission diagnosis code IN_DIAGNOSIS_NO Admission diagnosis description IN_DIAGNOSIS_DESC Discharge diagnosis code OUT_DIAGNOSIS_NO Discharge diagnosis description OUT_DIAGNOSIS_DESC

[0036] In this embodiment, the effective medical order information may also include detailed information of the medical order. Taking medical orders for medicines as an example, the detailed information of the medical order may include: item identification, type, frequency, route of administration, long-term clinical code, project name and dictionary identification, etc.

[0037] In some embodiments, in addition to drug orders, medical order types may also include non-drug order types, such as: nursing orders, dietary orders, examination orders, testing orders, treatment orders, consumables orders, blood transfusion orders, pathology orders, etc.

[0038] Among them, nursing orders involve daily care measures, such as wound care, skin care, oral care, etc. Dietary orders can be special dietary recommendations based on the patient's condition, such as diabetic diet, low-salt diet, high-protein diet, etc. Inspection and testing orders can include various laboratory and diagnostic tests such as blood tests, urine analysis, imaging examinations (such as X-rays, CT, MRI, etc.), electrocardiograms, ultrasounds, etc. Treatment orders can be clinical treatment operations, such as: surgery, puncture, drainage, endoscopy and other invasive or non-invasive treatment procedures. Consumables orders are generally used to ensure that the medical equipment used meets hygiene standards and is suitable for specific treatment or care purposes, and can include the use of disposable syringes, catheter replacement, etc. Transfusion orders usually include the type and quantity of blood products and any special compatibility testing requirements, such as: red blood cell transfusion, platelet transfusion, etc. Pathology orders are generally for obtaining tissue samples to help diagnose the nature of the disease through laboratory testing, such as cancer staging, diagnosis of infectious diseases, etc., such as: or tissue examination, surgical specimen analysis, etc.

[0039] In one embodiment, in the above S110, the step of determining the clinical pathway stage corresponding to the target medical consultation information data according to the treatment stage classification rule may include:

[0040] (S101) determining a treatment stage division rule based on the diagnosis ICD code and / or diagnosis name;

[0041] Among them, the treatment stage division rules include the number of clinical treatment stages and the number of days corresponding to each treatment stage;

[0042] (S102) dividing the hospitalization time of each target medical information data according to the treatment stage division rule, and determining the clinical pathway stage corresponding to the target medical information data;

[0043] Among them, the clinical pathway stage includes the number of days distributed in the pathway stage. In this embodiment, the basic information of the clinical pathway records in detail the clinical pathway identification, name, description, standard hospitalization day range (including upper and lower limits), standard description of entering and exiting the pathway, etc., see Table 1 for details:

[0044] Table 1: Basic information of clinical pathway

[0045]

[0046]

[0047] The entry rules of the clinical pathway are used to clarify the clinical pathway identifier, rule entry identifier, entry diagnosis ICD code and name. This information is closely related to the basic information of the clinical pathway through the clinical pathway identifier. The stage information of the clinical pathway includes: stage identifier, clinical pathway identifier, stage name, description, number of days and the identifier of the previous stage, which provides a basis for the staged management of the clinical pathway. For specific clinical pathway stage information, see Table 2:

[0048] Table 2: Clinical pathway stage information

[0049] Chinese name English name Clinical pathway stage markers CLI_PATH_TREAT_COURSE_ID Clinical pathway identifier CLI_PATH_ID Stage Name TREAT_COURSE_NAME Phase Description TREAT_COURSE_COMMENT Stage days TREAT_COURSE_DAYS_MAX Previous clinical pathway stage identifier PRIOR_TREAT_COURSE_ID

[0050] That is to say, according to clinical treatment needs, the patient's hospitalization time can be divided into several stages, and the start and end days of each stage can be determined. It should be noted that the part that exceeds the range of days set by the clinical pathway is uniformly included in the last stage. For example, the hospitalization time of patient A is 7 days, and its hospitalization time is divided into three stages, including: the first stage (1-2 days), the second stage (3-4 days), and the third stage (5-7 days).

[0051] In this embodiment, the treatment stage division of each patient is calculated, the start date of the first stage = the corresponding admission date of the patient, the end date of the first stage = the start date of the stage + the number of days occupied by the stage, the start date of the second stage = the end date of the first stage + 1, and so on. The start date and end date of each stage between the first stage and the last stage are calculated, and the part beyond the range of days set by the clinical pathway is uniformly put into the last stage, that is, the end date of the last stage = the discharge date, thereby determining the date range distribution of the pathway.

[0052] The treatment stage is the different stages of hospitalization time for patients divided according to clinical treatment needs. For example, the entire hospitalization of 8 days can be divided into 5 stages. The first stage is the first day of admission, the second stage is 3 days of preoperative preparation, the third stage is 1 day on the day of surgery, the fourth stage is 2 days of postoperative recovery observation, and the fifth stage is 1 day of discharge. Different stages require different medical orders to be issued and executed. The clinical pathway medical order template is the template for issuing these medical orders, so it is necessary to calculate which treatment stage of the clinical pathway the medical order template corresponds to.

[0053] In one embodiment, the effective medical order information may further include the medical order start time; in the above S110, the step of determining the clinical pathway stage corresponding to the target medical consultation information data and the target medical order code set corresponding to each stage according to the treatment stage division rule may further include:

[0054] (S103) determining the path stage of each medical order data in the medical order data set based on the path stage distribution days and the medical order start time;

[0055] (S104) determining a target medical order set corresponding to each stage;

[0056] (S105) Determine the target medical order code set corresponding to each stage according to the valid medical order information.

[0057] According to the distribution of days in the pathway stage and the start time of the medical order, each medical order is attributed to the corresponding clinical pathway stage. The specific method is: loop through the valid medical order data set one by one to obtain the medical order set of each patient during the hospitalization period, and calculate the stage affiliation of each medical order during the hospitalization period according to the distribution of days in the pathway stage and the start time of the medical order, and then obtain the clinical pathway stage corresponding to the medical order. The judgment method is: if the medical order start date is greater than or equal to the start date of the current clinical pathway stage, and less than or equal to the end date of the current clinical pathway stage, then the medical order belongs to the current clinical pathway stage.

[0058] For example, the patient's hospitalization date is December 3, 2024, and the start date of a certain medical order is December 4, 2024. The first stage is 1 day and the second stage is 3 days. It can be calculated that the date range of the first stage is from December 3, 2024 to December 3, 2024, the start date of the second stage = the end date of the first stage + 1 = December 4, 2024, the end date of the second stage = the start date of the second stage + 3 days of the second stage = December 4, 2024 + 3 days = December 6, 2024. If the start date of the medical order is greater than the start date of the second stage and less than the end date of the second stage, then the medical order is the medical order of the second stage.

[0059] In this embodiment, since the target medical order set corresponding to each stage includes the target medical order data extracted from all the medical information data that meet the clinical pathway entry conditions, the same drug medical order usually exists in multiple medical information. In order to further calculate the execution ratio of a single medical order at each stage, the target medical order set corresponding to each stage can be deduplicated according to the code of the medical order item, and the target medical order code set corresponding to each stage can be determined. Then, the codes in the target medical order code set are used to calculate each pair of medical order items separately, which is convenient for counting the execution ratio of medical order items at each stage and improving the accuracy of medical order template generation.

[0060] That is, in one embodiment, determining the execution ratio of the medical order items at each stage includes the following steps:

[0061] (S201) determining the number of executions of the medical order items in the target medical order code set corresponding to each stage; the number of executions of the medical order items in the stage is the number of times the medical order items corresponding to each target medical order code are executed in the current stage corresponding to the total number of valid medical visits;

[0062] (S202) Determine the execution ratio of the medical order items at each stage based on the number of executions of the medical order items at each stage and the total number of effective medical visits.

[0063] That is, the medical order set C of each patient during hospitalization is grouped according to the stage to which the medical orders belong, and the target medical order set D for each clinical pathway stage is obtained. The target medical order set D is then deduplicated according to the medical order item code to obtain the medical order item code set E, and the set E is traversed to obtain the number of times each medical order item code in E is executed in the corresponding clinical pathway stage among all patients (the number of executions in the medical order item stage γ), and the execution ratio of the medical order item in the clinical pathway stage to which all patients belong is calculated: the medical order item execution ratio β = the number of executions in the medical order item stage γ / the total number of effective clinical pathway visits α.

[0064] For example, suppose there are 10 medical information data that meet the entry conditions of the clinical pathway. After grouping according to the stage, the 10 medical information data corresponding to the second stage medical order data set D are obtained, among which there are 5 cephalosporin orders, corresponding to 5 medical data; there are 7 penicillin orders, corresponding to 7 medical data. The medical order item code set obtained after deduplication (the drug order is the drug dictionary identifier) ​​contains 2 medical order items, which are the drug dictionary identifiers corresponding to cephalosporin and penicillin. The number of executions of cephalosporin orders in the clinical pathway stage of each patient is calculated. The number of executions of cephalosporin in the medical order item stage of the second stage γ1 = 5, the number of executions of penicillin in the medical order item stage of the second stage γ2 = 7, the clinical pathway stage execution ratio of cephalosporin (medical order item execution ratio) β1 = 5 / 10 = 50%, and the clinical pathway stage execution ratio of penicillin (medical order item execution ratio) β2 = 7 / 10 = 70%.

[0065] S120: Based on the execution ratio of the medical order items at each stage, determine the medical order template at each stage; the medical order template includes: target medical order items and the execution ratio of the target medical order items;

[0066] In one embodiment, in the above S120, the step of determining the medical order template for each stage based on the execution ratio of the medical order items at each stage may include:

[0067] (S203) determining a classification threshold for medical order items, the classification threshold for medical order items including: a threshold range for a first-class medical order item and a threshold range for a second-class medical order item; the first-class medical order items are mandatory items, and the second-class medical order items are recommended items;

[0068] Among them, the classification threshold of medical order items can be set by the clinical pathway administrator based on clinical experience, such as: the upper limit of the threshold range of Class I medical order items is 100%, the lower limit is 80%, and the upper limit of the threshold range of Class II medical order items is 80%, and the lower limit is 30%. Among them, the upper limit of the threshold of the recommended Class II medical order items cannot be greater than the lower limit of the threshold of the required Class I medical order items, and the specific value can be adjusted according to actual needs.

[0069] (S204) determining a set of medical order items at each stage based on the execution ratio of the medical order items at each stage and the classification threshold of the medical order items; the medical order item set includes: a set of first-class medical order items and a set of second-class medical order items;

[0070] That is, the medical order item execution ratio β of each medical order item in each clinical pathway stage is calculated. The medical order item execution ratio β within the mandatory item threshold range is assigned to the mandatory item set F; the medical order item execution ratio β within the recommended selection threshold range is assigned to the recommended selection item set G. Those that are not within the two threshold ranges are not used as medical order items in the clinical pathway template.

[0071] (S205) According to the set of first-class medical order items and the set of second-class medical order items, at least one first-class medical order item and at least one second-class medical order item, as well as the execution ratios corresponding to the medical order items are determined to generate medical order templates for each stage.

[0072] The system generates a clinical pathway medical order template plan that includes mandatory items and recommended items, and displays the execution ratio of each item. All medical order template items are classified according to the type of medical order, which can include: nursing, diet, medicine, examination, testing, treatment, consumables, blood transfusion, and pathology. The clinical pathway administrator can make multiple confirmations and adjustments based on the plan generated by the system, combined with the clinical doctors' suggestions, clinical guidelines, and the cost trends of patients entering the pathway, and finally generate a clinical pathway treatment plan that can be delivered for clinical use. See Figure 2 shown.

[0073] As a specific example, the execution ratio corresponding to the medical order items may be the execution ratio of the medical order items at each stage directly obtained by calculation in the above steps, or may be an execution ratio set or updated based on experience or recent actual conditions.

[0074] The execution ratio of the medical order item can be displayed as a percentage on the graphical display interface of the clinical pathway generation system, usually set after the name of the medical order item. Figure 2 As shown, on the graphical display interface for confirming the results of generating the clinical pathway medical order template, the specific content (including medical order items) corresponding to the "diagnosis and treatment work" (ie: medical order template) with the stage name of "Day 1" and the stage time of "1-1" is displayed.

[0075] Among them, nursing orders include one Class I order item (level II nursing) and one Class II order item (level I nursing) and the corresponding execution ratios of the order items (67% and 33%). Class I orders are mandatory items, and Class II orders are recommended items. The execution ratios corresponding to the order items can be the execution ratios of the order items at this stage obtained by calculation, or they can be set or updated based on experience or recent actual application scenarios (for example, the need to upgrade the nursing level during hospital infection).

[0076] In other words, the execution ratio corresponding to the medical order items includes two different flexible settings for users to choose from, which reduces the difficulty of maintaining the medical order template and facilitates the generation of more accurate medical order templates and clinical pathways.

[0077] S130: Determine the target medical order plan according to the medical order templates of each stage;

[0078] In this embodiment, taking the drug order as an example, the order templates of each stage may specifically include: order items and order identifiers of the order template, the clinical pathway stage to which it belongs, the order type, frequency, route of administration, long-term code (to distinguish between long-term and temporary orders), order item name and dictionary identifier (for uniquely identifying the order item), mandatory flag, etc., and the specific contents are shown in Table 3 below:

[0079] Table 3: Clinical pathway order template information

[0080] Chinese name English name Clinical Order Template Item Identification TPL_CLINICAL_ORDER_ITEM_ID Clinical medical order template medical order label TPL_CLINICAL_ORDER_ORDER_ID Order type code ORDER_TYPE_CODE Clinical pathway stage identifier CLI_PATH_TREAT_COURSE_ID Long-term medical order code ORDER_PERIOD_CODE Frequency Code FREQ_CODE Required flag NECESSARY_FLAG Route of administration code DOSAGE_ROUTE_CODE Drug dictionary logo MEDICINE_ID Drug Name MEDICINE_NAME

[0081] S140: Execute the target medical order plan to generate a clinical pathway.

[0082] Combination Figure 2 In the graphical display interface shown, the clinical pathway administrator can make multiple confirmations and adjustments to "required" and "recommended" based on the clinical pathway template plan generated by the system, combined with the suggestions of clinical doctors, clinical guidelines, and the cost trends of patients entering the pathway, and then select the check box after the recommended plan to be used, and click the "Execute" button to generate the medical order template for the current stage of the clinical pathway. Then, combine the medical order templates of each stage to determine the overall clinical pathway target medical order plan, and execute the generated clinical pathway.

[0083] The present invention provides a clinical pathway generation method based on medical order data, the method comprising: firstly, according to the treatment stage division rule, determining the clinical pathway stage corresponding to the target medical information data, and the target medical order code set corresponding to each stage; the target medical information data includes the basic hospitalization information of the patient; then, based on the execution ratio of the medical order items in each stage, determining the medical order template for each stage; then determining the target medical order plan according to the medical order template for each stage; finally, executing the target medical order plan to generate the clinical pathway, the method solves the technical problems of low accuracy and low efficiency in clinical pathway generation, and achieves the technical effect of reducing the difficulty of maintaining the medical order template and improving the accuracy and efficiency of clinical pathway generation.

[0084] Compared with the prior art, the clinical pathway generation method based on medical order data provided by the embodiment of the present invention greatly shortens the clinical pathway formulation cycle from the original weeks or even months to a few days by automatically processing medical order data, thereby accelerating the introduction and application of new clinical pathways. At the same time, the present invention reduces the workload of manual participation and review, reduces the risk of human error, and improves the accuracy and reliability of clinical pathways. The beneficial effect of significantly improving the efficiency of clinical pathway formulation is achieved.

[0085] The present invention is based on a large amount of historical patient diagnosis and treatment data, and uses intelligent algorithm analysis to derive a medical order template, avoiding the problems of subjective judgment and experience dependence in traditional methods, making the formulation of clinical pathways more objective and scientific. In addition, through statistical analysis and threshold setting, it can automatically distinguish between mandatory medical order items and recommended medical order items, providing strong support for the refined management and optimization of clinical pathways. It achieves the beneficial effect of enhancing the objectivity and scientificity of clinical pathways.

[0086] The intelligent generation method of clinical pathways proposed in the embodiment of the present invention helps hospitals to allocate medical resources more reasonably, reduce unnecessary examinations and medication, reduce patients' medical costs, and improve patient satisfaction. At the same time, by improving the standardization and homogenization of clinical pathways, it helps to improve the quality of medical services and promote medical equity. It achieves the beneficial effects of optimizing the allocation of medical resources and improving patient satisfaction.

[0087] The invention also provides a visual management interface for real-time viewing and adjustment of clinical pathway doctor's order templates, thereby promoting continuous improvement and innovation of clinical pathways. By collecting and analyzing feedback data during the execution of clinical pathways, it provides valuable decision-making support for hospitals, helps hospitals continuously optimize clinical pathways and improve overall medical standards, and achieves the beneficial effect of promoting continuous improvement and innovation of clinical pathways.

[0088] The successful implementation of the present invention not only improves the information level of hospital clinical pathway management, but also promotes the intelligent development of the medical industry. Through seamless connection with medical information platforms such as electronic medical record systems and doctor's order management systems, it provides strong support for the mining and application of medical big data, and lays a solid foundation for future medical research and innovation. It has achieved the beneficial effect of promoting the process of medical informationization and intelligence.

[0089] In summary, the present invention has brought significant beneficial effects in improving the efficiency of clinical pathway formulation, enhancing the objectivity and scientificity of clinical pathways, optimizing the allocation of medical resources, promoting continuous improvement and innovation of clinical pathways, and promoting the process of medical informatization and intelligence.

[0090] In addition, the embodiment of the present invention also provides a clinical pathway generation device based on medical order data, see Figure 3 As shown, the device comprises:

[0091] The first determination module 310 is used to determine the clinical pathway stage corresponding to the target medical information data and the target medical order code set corresponding to each stage according to the treatment stage division rule; the target medical information data includes the patient's basic hospitalization information; the target medical order code set includes the code of at least one medical order item; the medical order template determination module 320 is used to determine the medical order template for each stage based on the execution ratio of the medical order items in each stage; the medical order template includes: the target medical order item and the execution ratio of the target medical order item; the target medical order plan determination module 330 is used to determine the target medical order plan according to the medical order template of each stage; the clinical pathway generation module 340 is used to execute the target medical order plan to generate a clinical pathway.

[0092] The clinical pathway generation device based on medical order data provided in the embodiment of the present application can be specific hardware on the device or software or firmware installed on the device. The device provided in the embodiment of the present application has the same implementation principle and technical effects as the aforementioned method embodiment. For the sake of brief description, the parts not mentioned in the device embodiment can refer to the corresponding contents in the aforementioned method embodiment. Technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above can all refer to the corresponding processes in the aforementioned method embodiment, and will not be repeated here. The clinical pathway generation device based on medical order data provided in the embodiment of the present application has the same technical features as the clinical pathway generation method based on medical order data provided in the above embodiment, so it can also solve the same technical problems and achieve the same technical effects.

[0093] An embodiment of the present application further provides an electronic device. Specifically, the electronic device includes a processor and a storage device. The storage device stores a computer program, and when the computer program is executed by the processor, it executes the method described in any one of the above-mentioned embodiments.

[0094] Figure 4 A structural schematic diagram of an electronic device provided in an embodiment of the present application, the electronic device 400 includes: a processor 40, a memory 41, a bus 42 and a communication interface 43, wherein the processor 40, the communication interface 43 and the memory 41 are connected via the bus 42; the processor 40 is used to execute an executable module stored in the memory 41, such as a computer program.

[0095] The memory 41 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 43 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used.

[0096] The bus 42 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0097] Among them, the memory 41 is used to store programs, and the processor 40 executes the program after receiving the execution instruction. The method executed by the process definition device disclosed in any embodiment of the above-mentioned embodiment of the present invention can be applied to the processor 40 or implemented by the processor 40.

[0098] The processor 40 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 40. The above processor 40 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in the embodiments of the present invention can be directly embodied as a hardware decoding processor to execute, or can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 41, and the processor 40 reads the information in the memory 41 and completes the steps of the above method in combination with its hardware.

[0099] Corresponding to the above method, an embodiment of the present application also provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to execute the steps of the above method.

[0100] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0101] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0102] In addition, each functional unit in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0103] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, electronic device, or network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0104] It should be noted that similar numbers and letters represent similar items in the accompanying drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0105] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention 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 replace some or all of the technical features therein with equivalents. 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 invention.

Claims

1. A clinical pathway generation method based on medical order data, characterized in that: The method comprises: According to the treatment stage division rule, determine the clinical pathway stage corresponding to the target medical information data and the target medical order code set corresponding to each stage; the target medical information data includes the basic hospitalization information of the patient; the target medical order code set includes the code of at least one medical order item; Based on the execution ratio of the medical order items at each stage, determining the medical order template at each stage; the medical order template includes: target medical order items and the execution ratio of the target medical order items; Determine the target medical order plan based on the medical order templates for each stage; Execute the target medical order plan to generate a clinical pathway.

2. The clinical pathway generation method based on medical order data according to claim 1, characterized in that: The basic hospitalization information of the patient includes hospitalization diagnosis information; the method further includes: Determine a target medical visit information data set according to hospitalization diagnosis information, wherein the hospitalization diagnosis information includes: hospitalization time, diagnosis ICD code and / or diagnosis name; Based on the target medical visit information data set, the total number of valid medical visits and the medical order data set are determined; the target medical visit information data set includes a number of target medical visit information data; the medical order data set includes valid medical order information during the hospitalization period corresponding to each target medical visit information data; the valid medical order information includes medical order items and the codes of the medical order items.

3. The clinical pathway generation method based on medical order data according to claim 2, characterized in that: According to the treatment stage division rules, determine the clinical pathway stage corresponding to the target medical information data, including: Determine the treatment stage division rule based on the diagnostic ICD code and / or the diagnosis name; the treatment stage division rule includes the number of clinical treatment stages and the number of days corresponding to each treatment stage; According to the treatment stage division rule, the hospitalization time of each target medical information data is divided to determine the clinical pathway stage corresponding to the target medical information data; the clinical pathway stage includes the number of days distributed in the pathway stage.

4. The method for generating a clinical pathway based on medical order data according to claim 3, characterized in that: The effective medical order information includes the start time of the medical order; According to the treatment stage division rules, determine the clinical pathway stage corresponding to the target medical information data, as well as the target medical order code set corresponding to each stage, including: Determine the path stage described by each medical order data in the medical order data set based on the number of days of the path stage distribution and the start time of the medical order; Determine the target medical order set corresponding to each stage; According to the valid medical order information, a target medical order code set corresponding to each stage is determined.

5. The method for generating a clinical pathway based on medical order data according to claim 4, characterized in that: According to the valid medical order information, a target medical order code set corresponding to each stage is determined, including: The target medical order set corresponding to each stage is deduplicated according to the coding of the medical order items to determine the target medical order coding set corresponding to each stage.

6. The method for generating a clinical pathway based on medical order data according to claim 4, characterized in that: The method further comprises: In the target medical order code set corresponding to each stage, the number of executions of the medical order item stage is determined; the number of executions of the medical order item stage is the number of times the medical order item corresponding to each target medical order code is executed in the current stage corresponding to the total number of effective medical visits; Based on the number of executions of the medical order items at each stage and the total number of effective medical visits, the execution ratio of the medical order items at each stage is determined.

7. The method for generating a clinical pathway based on medical order data according to claim 6, characterized in that: Based on the execution ratio of the medical order items at each stage, the medical order templates at each stage are determined, including: Determine a classification threshold for medical order items, wherein the classification threshold for medical order items includes: a threshold range for a first-class medical order item and a threshold range for a second-class medical order item; the first-class medical order items are mandatory items, and the second-class medical order items are recommended items; Based on the execution ratio of the medical order items at each stage and the classification threshold of the medical order items, determining the medical order item set at each stage; the medical order item set includes: a first-class medical order item set and a second-class medical order item set; According to the set of first-class medical order items and the set of second-class medical order items, at least one first-class medical order item and at least one second-class medical order item, as well as the execution ratios corresponding to the medical order items are determined to generate medical order templates for each stage.

8. A clinical pathway generation device based on medical order data, characterized in that: The device comprises: A first determination module is used to determine the clinical pathway stage corresponding to the target medical information data and the target medical order code set corresponding to each stage according to the treatment stage division rule; the target medical information data includes the basic hospitalization information of the patient; the target medical order code set includes the code of at least one medical order item; A medical order template determination module is used to determine the medical order template for each stage based on the execution ratio of the medical order items at each stage; the medical order template includes: target medical order items and the execution ratio of the target medical order items; A target medical order scheme determination module is used to determine the target medical order scheme according to the medical order templates of each stage; A clinical pathway generation module is used to execute the target medical order scheme to generate a clinical pathway.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to execute the method according to any one of claims 1 to 7.

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