Patient data management method and system

Abstract

The present invention discloses a patient data management method and system, and relates to the technical field of data processing. The patient data management method and system obtain medical record data, treatment cost lists and search requirements of scientific researchers in all patient medical records through a data acquisition module, and classify and form data sets. The data analysis module analyzes the main diseases of the patients, and classifies them into corresponding disease databases according to the main diseases, and then composes a comprehensive database with multiple disease databases. The data analysis module analyzes the average cost in the treatment process of a single disease, the cost fluctuation index of the disease and the cost ratio of each item in the cost list of the disease, and synchronously classifies them into corresponding disease databases, visualizes and analyzes multidimensional data, and has high processing efficiency. The data analysis module screens out the patient medical record data and cost list corresponding to the search requirement keywords in the comprehensive database, and composes a search report to be transmitted to the hospital information system HIS. The scientific research search has high accuracy and strong pertinence.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a patient data management method and system. Background Art

[0002] Patient data management is a vital link in the healthcare industry. It involves collecting, storing, processing and analyzing patients' medical information. It not only concerns the privacy protection of patients, but also directly affects the quality and efficiency of medical services. Patients' historical medical records, examination results and other data provide doctors with valuable diagnostic clues, which help improve the accuracy of diagnosis. The formulation of treatment plans often needs to be based on patients' past treatment experience and drug reactions. These data are crucial for the formulation of personalized treatment plans. Large-scale patient data analysis can reveal the development of diseases, evaluation of treatment effects and potential directions for new drug research and development. With the continuous advancement of technology and the growing demand for medical care, patient data management will develop in a more intelligent and refined direction. Patient data management systems have become a key tool for improving the quality of medical services, enhancing patient safety, optimizing resource allocation and promoting clinical research.

[0003] At present, traditional patient data management systems lack data visualization and analysis capabilities. Different patients have different treatment methods and costs during the actual treatment process. Researchers need to spend a lot of time and energy analyzing treatment costs and determining research priorities and directions. In addition, in the early stages of scientific research projects, traditional patient data management systems cannot accurately screen out patient information that meets specific conditions based on the search needs of researchers, and the search is time-consuming and inefficient. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a patient data management method and system, which has the advantages of high efficiency in visual analysis of multi-dimensional data processing, high accuracy and strong pertinence in scientific research retrieval, etc., and solves the problems that traditional patient data management systems lack data visualization analysis capabilities, and time-consuming and inefficient retrieval.

[0005] To achieve the above object, the present invention provides the following technical solution: a patient data management method, comprising the following steps:

[0006] Step 1: Connect to the hospital information system HIS through the network to obtain the medical record data in all patient medical records, and form the obtained data into a medical record data set;

[0007] Step 2: Connect to the hospital information system HIS through the network to obtain the cost list of all patients during treatment, and form a cost data set with the obtained data;

[0008] Step 3: Connect to the hospital information system HIS through the network to obtain the search requirements of all researchers, and use natural language processing technology NLP to filter out the keywords in the search requirements, and then form a search data set with the obtained data;

[0009] Step 4: Analyze the main diseases of the patients according to the disease history in all the patient medical records in the medical record data set, and classify them into corresponding disease databases according to the main diseases, and then combine multiple disease databases into a comprehensive database. ;

[0010] Step 5: Based on the comprehensive library and cost datasets to analyze the average cost of treating a single disease , the cost volatility index of the disease and the proportion of each item in the cost list of the disease , and the average cost of the disease , Cost Volatility Index and cost ratio Synchronously classified into the corresponding disease database;

[0011] Step 6: Filter out the comprehensive library based on the search data set The patient medical record data and expense list corresponding to the search keywords are collected and transmitted to the hospital information system HIS through the network after forming a search report.

[0012] Preferably, in step 1, the expression of the medical record data set is , , , , They are the 1st, 2nd, 3rd, and The medical records of each patient include the patient's name, gender, age and medical history. Indicates the time point when the hospital information system HIS creates the patient's medical record.

[0013] Preferably, in step 2, the expression of the cost data set is , , , , They are the 1st, 2nd, 3rd, and 4th items in the cost dataset. A list of expenses for each patient, including examination costs, drug costs, surgery costs and rehabilitation costs. Indicates the total amount of a single patient's expense list.

[0014] Preferably, in step 3, the expression for retrieving the data set is , , , , are the first, second, third, and Search request, Indicates the keywords in the search requirements.

[0015] Preferably, in step 4, the comprehensive library The classification process is as follows:

[0016] Extract the medical record data set Medical records in patient records, marked as , and then Disease history in the ;

[0017] Jordi The patient's medical history There is only one Disease, then the Medical records of patients Classified into comprehensive library In Disease Database ;

[0018] Jordi The patient's medical history Existence diseases, The types of diseases in the , Indicates The earliest disease in the patient's medical history, Indicates The latest disease in the patient's disease history, Indicates The duration of a single disease in a patient, select Medium duration The largest single disease For the The main disease of each patient, and then Medical records of patients Classified into comprehensive library In Disease Database .

[0019] Preferably, in step 5, the cost fluctuation index The calculation process is as follows: According to the comprehensive library middle Disease Database , statistics all The number of patients with the disease, marked as ;

[0020] according to All patients with Medical records of patients with diseases, corresponding to all the extracted cost data sets A list of expenses incurred during the treatment of a patient with a disease, labeled , , , , The first, second, third and fourth items in the expense list are indivual A list of expenses during the treatment of a patient with a disease, Indicates the total amount of a single patient's expense list; ; ;In the formula, represents the cost volatility index, Indicates all The sum of the total amount of the disease patient's expense list divided by The number of patients with the disease, Average cost of illness , express Middle Suffer from Cost list for patients with diseases, According to the variance formula, Suffer from The total amount of the expense list of the patient is The difference between the mean values ​​of disease costs, the variance value obtained is Cost volatility index of disease.

[0021] Preferably, in step 5, the cost ratio The calculation process is as follows:

[0022] according to Middle Suffer from Cost list for patients with diseases , will Suffer from The cost of examination for patients with diseases is marked as , will Suffer from The cost of medicines for patients with diseases is marked as , will Suffer from The cost of surgery for patients with diseases is marked as , will Suffer from The cost of rehabilitation for patients with diseases is marked as ; In the formula, Indicates the cost ratio, Indicates Suffer from The proportional relationship between examination costs, drug costs, surgical costs and rehabilitation costs in the cost list of sick patients.

[0023] Preferably, in step 6, the process of screening according to the search requirement keywords is as follows:

[0024] Extract the first times of retrieval requirements and marked them as ;

[0025] like If the keyword in contains the patient's name, the comprehensive library is filtered according to the keyword name. The corresponding patient medical record data and expense list;

[0026] like The keywords in the database contain the patient's name and gender, and the comprehensive database is filtered out according to the keyword name and gender. The corresponding patient medical record data and expense list;

[0027] like The keywords in the database contain the patient's name, gender, and age group. Then, the comprehensive database is filtered out according to each age value in the keyword name, gender, and age group. The corresponding patient medical record data and expense list;

[0028] like The keywords in the database include patient name, gender, age group and disease name. Then, the comprehensive database is filtered out according to each age value and disease name in the keyword name, gender, age group and disease name. The corresponding patient medical record data and cost list.

[0029] Preferably, in step 6, the search report includes patient medical records, cost lists, and cost averages that match the search requirement keywords. , Cost Volatility Index and cost ratio If there are multiple patients in the search report, the average cost According to the numerical value, multiple patients are arranged from high to low.

[0030] A patient data management system, applying the patient data management method as described in the above invention, comprises a data acquisition module and a data analysis module;

[0031] The data acquisition module includes a patient medical record unit, a treatment cost unit and a retrieval demand unit. The patient medical record unit is connected to the hospital information system HIS through the network to collect a medical record data set. The medical record data set includes the name, gender, age and disease history of all patients in the medical records. The treatment cost unit is connected to the hospital information system HIS through the network to collect a cost data set. The cost data set includes the examination costs, drug costs, surgery costs and rehabilitation costs of all patients during the treatment process. The retrieval demand unit is connected to the hospital information system HIS through the network to collect a retrieval data set. The retrieval data set includes all keywords in the retrieval needs of scientific researchers. The data acquisition module transmits the medical record data set, the cost data set and the retrieval data set to the data analysis module through the network;

[0032] The data analysis module includes a disease analysis unit, a treatment analysis unit and a demand analysis unit. The disease analysis unit analyzes the main diseases of the patient according to the medical record data set and classifies them into corresponding disease databases. The disease analysis unit combines multiple disease databases into a comprehensive database. , and stored in the data analysis module, the treatment analysis unit according to the comprehensive library and cost datasets, analyzing and generating the average cost of a single disease , Cost Volatility Index and cost ratio , and synchronously classified into the corresponding disease database, the demand analysis unit screens out the comprehensive database according to the search data set The patient medical record data and expense list corresponding to the search keywords are collected and transmitted to the hospital information system HIS through the network after forming a search report.

[0033] Compared with the prior art, the present invention provides a patient data management method and system, which has the following beneficial effects:

[0034] The present invention obtains the medical record data of all patients in the medical records, the expense list of all patients in the treatment process and the retrieval needs of all researchers through the data acquisition module through the network connection to the hospital information system HIS, and classifies them into medical record data sets, expense data sets and retrieval data sets. The data analysis module analyzes the main diseases of the patients according to the disease history in the medical records of all patients in the medical record data sets, and classifies them into corresponding disease databases according to the main diseases, and then combines multiple disease databases into a comprehensive database. , the data analysis module is based on the comprehensive library and cost datasets to analyze the average cost of treating a single disease , the cost volatility index of the disease and the proportion of each item in the cost list of the disease , helping us to intuitively understand which diseases are the hot spots and difficulties in current research, so as to carry out targeted research and optimize treatment plans, and reduce the average cost of the disease , Cost Volatility Index and cost ratio Synchronously classified into the corresponding disease database, each disease database has the corresponding cost average and Fee Volatility Index , and each patient in each disease database has a corresponding cost ratio ,Visual analysis and multi-dimensional data processing are highly efficient.

[0035] The present invention uses a data analysis module to filter out a comprehensive library based on the search data set. The patient medical records and expense lists corresponding to the search keywords are collected and transmitted to the hospital information system HIS through the network after forming a search report. The search report includes the patient medical records, expense lists, and average cost of the patient that meets the search keywords. , Cost Volatility Index and cost ratio If there are multiple patients in the search report, the average cost The numerical value of the patient is arranged from high to low. In the actual application process, researchers can use the average cost , Cost Volatility Index and cost ratio The numerical value input corresponds to the search requirement. The clearer the screening conditions are, the higher the accuracy and targeting of the scientific research search will be. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a step diagram of the method of the present invention;

[0037] Figure 2 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. 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.

[0039] Since traditional patient data management systems lack data visualization and analysis capabilities, different patients have different treatment methods and treatment costs during actual treatment. Researchers need to spend a lot of time and energy analyzing treatment costs and determining research priorities and directions. In addition, in the early stages of research projects, traditional patient data management systems cannot accurately filter out patient information that meets specific conditions based on the search needs of researchers. The search is time-consuming and inefficient. Therefore, a patient data management method and system are provided. Please refer to Figure 1 , the method comprises the following steps:

[0040] Step 1: Connect to the hospital information system HIS through the network to obtain the medical record data of all patients, and form the obtained data into a medical record data set. The expression of the medical record data set is , , , , They are the 1st, 2nd, 3rd, and The medical records of each patient include the patient's name, gender, age and medical history. Indicates the time when the hospital information system HIS creates the patient's medical record. The medical record is an important document that records the patient's health status and medical process. Collecting key information about the patient's condition in the medical record is conducive to subsequent rapid classification and database formation;

[0041] Step 2: Connect to the hospital information system HIS through the network to obtain the cost list of all patients during treatment, and form a cost data set with the obtained data. The expression of the cost data set is , , , , They are the 1st, 2nd, 3rd, and 4th items in the cost dataset. A list of expenses for each patient, Indicates the total amount of a single patient's expense list. Collecting the treatment costs of each stage of the patient according to the routine course of disease will help to identify which treatment methods or drugs are the main reasons for the high treatment costs;

[0042] Step 3: Connect to the hospital information system HIS through the network to obtain the search requirements of all researchers, and use natural language processing technology NLP to filter out the keywords in the search requirements, and then form a search data set with the obtained data. The expression of the search data set is , , , , are the first, second, third, and Search request, Represents the keywords in the search requirements, including but not limited to patient name, gender, age group and disease name. The keywords in the search requirements are filtered out through natural language processing technology NLP and formed into a data set, which is conducive to the subsequent rapid screening of patient information that meets the scientific research conditions based on keywords, providing reliable data support for medical research;

[0043] Step 4: Analyze the main diseases of the patients according to the disease history of all patients in the medical records of the medical record data set, and classify them into corresponding disease databases according to the main diseases, and then combine multiple disease databases into a comprehensive database. The classification process is as follows:

[0044] Extract the medical record data set Medical records in patient records, marked as , and then Disease history in the ;

[0045] Jordi The patient's medical history There is only one Diseases, most of these patients suffer from acute diseases, without the influence of other diseases, which is more representative for the study of acute diseases. Medical records of patients Classify into comprehensive library In Disease Database ;

[0046] Jordi The patient's medical history Existence Most of these patients suffer from chronic diseases and are affected by other underlying diseases. They are more representative for studying chronic diseases. The types of diseases in the , Indicates The earliest disease in the patient's medical history, Indicates The latest disease in the patient's disease history, Indicates The duration of a single disease in a patient, select Medium duration The largest single disease For the The main disease of each patient, and then Medical records of patients Classify into comprehensive library In Disease Database ;

[0047] Step 5: Based on the comprehensive library and cost datasets to analyze the average cost of treating a single disease , the cost volatility index of the disease and the proportion of each item in the cost list of the disease , the calculation process is as follows:

[0048] According to the comprehensive library middle Disease Database , statistics all The number of patients with the disease, marked as ;

[0049] according to All patients with Medical records of patients with diseases, corresponding to all the extracted cost data sets A list of expenses incurred during the treatment of a patient with a disease, labeled , , , , The first, second, third and fourth items in the expense list are indivual A list of expenses during the treatment of a patient with a disease, Indicates the total amount of a single patient's expense list; ; ;In the formula, represents the cost volatility index, Indicates all The sum of the total amount of the disease patient's expense list divided by The number of patients with the disease, Average cost of illness , express Middle Suffer from Cost list for patients with diseases, According to the variance formula, Suffer from The total amount of the expense list of the patient is The difference between the mean values ​​of disease costs, the variance value obtained is The cost fluctuation index of the disease can be calculated by analogy based on the above formula: and Fee Volatility Index , helping researchers to intuitively understand which diseases are the hot spots and difficulties of current research, so as to carry out targeted research;

[0050] according to Middle Suffer from Cost list for patients with diseases , will Suffer from The cost of examination for patients with diseases is marked as , will Suffer from The cost of medicines for patients with diseases is marked as , will Suffer from The cost of surgery for patients with diseases is marked as , will Suffer from The cost of rehabilitation for patients with diseases is marked as ; In the formula, Indicates the cost ratio, Indicates Suffer from The ratio of examination costs, drug costs, surgery costs and rehabilitation costs in the cost list of disease patients can be calculated by analogy based on the above formula. The different cost ratios of each patient with the same disease during the treatment process can help medical researchers optimize treatment plans, ensure treatment effects, reduce treatment costs in a targeted manner, and improve patient satisfaction.

[0051] The average cost of the disease Cost Volatility Index and cost ratio Synchronously classified into the corresponding disease database, each disease database has the corresponding cost average and Fee Volatility Index , and each patient in each disease database has a corresponding cost ratio , visual analysis of multi-dimensional data with high processing efficiency;

[0052] Step 6: Filter out the comprehensive library based on the search data set The patient medical record data and expense list corresponding to the search requirement keywords are screened as follows:

[0053] Extract the first times of retrieval requirements and marked them as ;

[0054] like If the keyword in contains the patient's name, the comprehensive library is filtered according to the keyword name. The corresponding patient medical record data and expense list;

[0055] like The keywords in the database contain the patient's name and gender, and the comprehensive database is filtered out according to the keyword name and gender. The corresponding patient medical record data and expense list;

[0056] like The keywords in the database contain the patient's name, gender, and age group. Then, the comprehensive database is filtered out according to each age value in the keyword name, gender, and age group. The corresponding patient medical record data and expense list;

[0057] like The keywords in the database include patient name, gender, age group and disease name. Then, the comprehensive database is filtered out according to each age value and disease name in the keyword name, gender, age group and disease name. The corresponding patient medical record data and expense list;

[0058] The screening results are compiled into a search report and transmitted to the hospital information system HIS through the network. The search report includes the patient medical records data, cost list, and cost average that meet the search requirements. , Cost Volatility Index and cost ratio If there are multiple patients in the search report, the average cost The numerical value of the patient is arranged from high to low. In the actual application process, researchers can use the average cost , Cost Volatility Index and cost ratio The numerical value input corresponds to the search requirement. The clearer the screening conditions are, the higher the accuracy and targeting of the scientific research search will be.

[0059] See also Figure 2 , this embodiment also discloses a patient data management system, which applies the patient data management method as described above, and the patient data management system includes a data acquisition module and a data analysis module;

[0060] The data collection module includes a patient medical record unit, a treatment cost unit and a retrieval demand unit. The patient medical record unit is connected to the hospital information system HIS through the network to collect medical record data sets. The medical record data sets include the name, gender, age and disease history of all patients in the medical records. The treatment cost unit is connected to the hospital information system HIS through the network to collect the cost data set. The cost data set includes the examination costs, drug costs, surgery costs and rehabilitation costs of all patients during the treatment process. The retrieval demand unit is connected to the hospital information system HIS through the network to collect the retrieval data set. The retrieval data set includes all the keywords in the retrieval needs of the researchers. The data collection module transmits the medical record data set, the cost data set and the retrieval data set to the data analysis module through the network.

[0061] The data analysis module includes a disease analysis unit, a treatment analysis unit, and a demand analysis unit. The disease analysis unit analyzes the main diseases of the patient based on the medical record data set and classifies them into corresponding disease databases. The disease analysis unit combines multiple disease databases into a comprehensive database. , and stored in the data analysis module, the treatment analysis unit according to the comprehensive library and cost datasets, analyzing and generating the average cost of a single disease , Cost Volatility Index and cost ratio , and synchronously classify them into the corresponding disease database, visualize and analyze multidimensional data, with high processing efficiency. The demand analysis unit selects the comprehensive database based on the retrieval data set. The patient medical record data and expense list corresponding to the search keywords are collected and transmitted to the hospital information system HIS through the network after forming a search report. The scientific research search is highly accurate and targeted.

[0062] Example 1: In this experiment, five patients with phenylketonuria were selected as experimental subjects. Phenylketonuria is a rare genetic disease. According to statistics, the total amount of the expense list of these five patients with phenylketonuria is 150 euros, 89 euros, 48 ​​euros, 93 euros, and 173 euros, respectively. The cost fluctuation index of this experiment is The calculation formula is as follows: ; ;In the formula, represents the cost volatility index, Represents the average cost of 5 patients with phenylketonuria , Indicates that among the 5 patients with phenylketonuria A list of expenses for each patient, It means that according to the variance formula, the difference between the total amount of the expense list of 5 phenylketonuria patients and the average cost of phenylketonuria is combined, and the variance value of 2028.24 is the cost fluctuation index of phenylketonuria.

[0063] Example 2: In this experiment, a patient with breast cancer stage I was selected as the experimental subject. According to statistics, the patient's expense list included examination costs of 15,400 yuan, drug costs of 48,500 yuan, surgery costs of 102,600 yuan, and rehabilitation costs of 6,300 yuan. The patient's expense ratio as follows: In the formula, Indicates the cost ratio, It indicates the proportional relationship among the examination costs, drug costs, surgery costs and rehabilitation costs in the patient's expense list.

[0064] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A patient data management method, characterized in that: The following steps are involved: Step 1: Connect to the hospital information system HIS through the network to obtain the medical record data in all patient medical records, and form the obtained data into a medical record data set; Step 2: Connect to the hospital information system HIS through the network to obtain the cost list of all patients during treatment, and form a cost data set with the obtained data; Step 3: Connect to the hospital information system HIS through the network to obtain the search requirements of all researchers, and use natural language processing technology NLP to filter out the keywords in the search requirements, and then form a search data set with the obtained data; Step 4: Analyze the main diseases of the patients according to the disease history of all patients in the medical records of the medical record data set, and classify them into corresponding disease databases according to the main diseases, and then combine multiple disease databases into a comprehensive database. ; Step 5: Based on the comprehensive library and cost datasets to analyze the average cost of treating a single disease , the cost volatility index of the disease and the proportion of each item in the cost list of the disease , and the average cost of the disease , Cost Volatility Index and cost ratio Synchronously classified into the corresponding disease database; Step 6: Filter out the comprehensive library based on the search data set The patient medical record data and expense list corresponding to the search keywords are collected and transmitted to the hospital information system HIS through the network after forming a search report; In step 5, the cost volatility index The calculation process is as follows: According to the comprehensive library middle Disease Database , statistics all The number of patients with the disease, marked as ; according to All patients with Medical records of patients with diseases, corresponding to all the extracted cost data sets A list of expenses incurred during the treatment of a patient with a disease, labeled , The first, second, third and fourth items in the expense list are indivual A list of expenses during the treatment of a patient with a disease, Indicates the total amount of a single patient's expense list; ; ;In the formula, represents the cost volatility index, Indicates all The sum of the total amount of the disease patient's expense list divided by The number of patients with the disease, Average cost of illness , express Middle Suffer from Cost list for patients with diseases, According to the variance formula, Suffer from The total amount of the expense list of the patient is The difference between the mean values ​​of disease costs, the variance value obtained is Cost volatility index of disease.

2. The patient data management method according to claim 1, characterized in that: In step 1, the expression of the medical record data set is: , They are the 1st, 2nd, 3rd, and The medical records of each patient include the patient's name, gender, age and medical history. Indicates the time point when the hospital information system HIS creates the patient's medical record.

3. The patient data management method according to claim 2, characterized in that: In step 2, the expression of the cost data set is: , They are the 1st, 2nd, 3rd, and 4th items in the cost dataset. A list of expenses for each patient, including examination costs, drug costs, surgery costs and rehabilitation costs. Indicates the total amount of a single patient's expense list.

4. The patient data management method according to claim 3, characterized in that: In step 3, the expression for retrieving the data set is: , are the first, second, third, and Search request, Indicates the keywords in the search requirements.

5. The patient data management method according to claim 4, characterized in that: In step 4, the comprehensive library The classification process is as follows: Extract the medical record data set Medical records in patient records, marked as , and then Disease history in the ; Jordi The patient's medical history There is only one Disease, then Medical records of patients Classify into comprehensive library In Disease Database ; Jordi The patient's medical history Existence diseases, The types of diseases in the , Indicates The earliest disease in the patient's medical history, Indicates The latest disease in the patient's disease history, Indicates The duration of a single disease in a patient, select Medium duration The largest single disease For the The main disease of each patient, and then Medical records of patients Classify into comprehensive library In Disease Database .

6. The patient data management method according to claim 1, characterized in that: In step 5, the cost ratio The calculation process is as follows: according to Middle Suffer from Cost list for patients with diseases , will Suffer from The cost of examination for patients with diseases is marked as , will Suffer from The cost of medicines for patients with diseases is marked as , will Suffer from The cost of surgery for patients with diseases is marked as , will Suffer from The cost of rehabilitation for patients with diseases is marked as ; In the formula, Indicates the cost ratio, Indicates Suffer from The proportional relationship between examination costs, drug costs, surgical costs and rehabilitation costs in the cost list of sick patients.

7. The patient data management method according to claim 6, characterized in that: In step 6, the process of screening according to the search requirement keywords is as follows: Extract the first times of retrieval requirements and marked as ; like If the keyword in contains the patient's name, the comprehensive library is filtered according to the keyword name. The corresponding patient medical record data and expense list; like The keywords in the database contain the patient's name and gender, and the comprehensive database is filtered out according to the keyword name and gender. The corresponding patient medical record data and expense list; like The keywords in the database contain the patient's name, gender, and age group. Then, the comprehensive database is filtered out according to each age value in the keyword name, gender, and age group. The corresponding patient medical record data and expense list; like The keywords in the database include patient name, gender, age group and disease name. Then, the comprehensive database is filtered out according to each age value and disease name in the keyword name, gender, age group and disease name. The corresponding patient medical record data and cost list.

8. The patient data management method according to claim 7, characterized in that: In step 6, the search report includes patient medical records, cost lists, and cost averages that match the search keyword. , Cost Volatility Index and cost ratio If there are multiple patients in the search report, the average cost According to the numerical value, multiple patients are arranged from high to low.

9. A patient data management system, applied to the patient data management method according to any one of claims 1 to 8, characterized in that: Including data acquisition module and data analysis module; The data acquisition module includes a patient medical record unit, a treatment cost unit and a retrieval demand unit. The patient medical record unit is connected to the hospital information system HIS through the network to collect a medical record data set. The medical record data set includes the name, gender, age and disease history of all patients in the medical records. The treatment cost unit is connected to the hospital information system HIS through the network to collect a cost data set. The cost data set includes the examination costs, drug costs, surgery costs and rehabilitation costs of all patients during the treatment process. The retrieval demand unit is connected to the hospital information system HIS through the network to collect a retrieval data set. The retrieval data set includes all keywords in the retrieval needs of scientific researchers. The data acquisition module transmits the medical record data set, the cost data set and the retrieval data set to the data analysis module through the network; The data analysis module includes a disease analysis unit, a treatment analysis unit and a demand analysis unit. The disease analysis unit analyzes the main diseases of the patient according to the medical record data set and classifies them into corresponding disease databases. The disease analysis unit combines multiple disease databases into a comprehensive database. , and stored in the data analysis module, the treatment analysis unit according to the comprehensive library and cost datasets, analyzing and generating the average cost of a single disease , Cost Volatility Index and cost ratio , and synchronously classified into the corresponding disease database, the demand analysis unit screens out the comprehensive database according to the search data set The patient medical record data and expense list corresponding to the search keywords are collected and transmitted to the hospital information system HIS through the network after forming a search report.

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