CN112509659A - Medical insurance and death cause monitoring data-based tumor patient survival monitoring method and device - Google Patents
Medical insurance and death cause monitoring data-based tumor patient survival monitoring method and device Download PDFInfo
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Abstract
The invention discloses a tumor patient survival monitoring method and device based on medical insurance and death factor monitoring data, wherein the method comprises the following steps: extracting new tumor case data in a preset statistical time period from a medical insurance system; extracting the death factor monitoring data in a preset statistical time period from the death factor monitoring system; according to new tumor case data and death cause monitoring data in a preset statistical time period, a tumor case survival state information base is constructed, wherein the tumor case survival state information base comprises: survival status information for each tumor case; counting index values of all tumor survival indexes based on a tumor case survival state information base; and generating a tumor survival monitoring report according to the index value of each tumor survival index. The invention extracts new tumor case data based on the medical insurance system, so that the data coverage of tumor survival monitoring statistics is large, and the real-time performance is very strong.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a method and a device for monitoring survival of tumor patients based on medical insurance and death cause monitoring data.
Background
This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.
Malignant tumors (cancers) pose a serious threat to human health. Survival rate is an important index in the field of tumor monitoring, reflects the average level of tumor prognosis, and can show the tumor prevention and control and clinical diagnosis and treatment effects while prompting the tumor lethal ability. Therefore, the method has important theoretical value and practical significance for guiding relevant health policies, preventive control measures, clinical diagnosis and treatment schemes and scientific research work if tumor survival monitoring is carried out accurately and truly.
At present, in the prior art, new tumor issue case data of each region are collected mainly by setting tumor registration points in a plurality of regions, and then the collected new tumor issue case data are butted with death cause monitoring data of a death cause monitoring system, so as to realize tumor survival monitoring and issue a related tumor survival monitoring report. On one hand, the collection, supplement and quality control of new tumor case data take long time (for example, 3 years), so that the tumor survival monitoring report has certain hysteresis; on the other hand, since there are many uncovered areas of tumor registration points, tumor survival monitoring work is difficult to perform in the uncovered areas. Therefore, by relying on the inherent mode of tumor registration work, tumor survival monitoring work faces a great challenge in the aspects of improving population coverage and data real-time performance.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a tumor patient survival monitoring method based on medical insurance and death cause monitoring data, which is used for solving the technical problems that the existing tumor survival monitoring work depends on the inherent mode of tumor registration, the data statistics coverage is limited and the real-time performance is poor, and the method comprises the following steps: extracting new tumor case data in a preset statistical time period from a medical insurance system; extracting the death factor monitoring data in a preset statistical time period from the death factor monitoring system; according to new tumor case data and death cause monitoring data in a preset statistical time period, a tumor case survival state information base is constructed, wherein the tumor case survival state information base comprises: survival status information for each tumor case; counting index values of all tumor survival indexes based on a tumor case survival state information base; and generating a tumor survival monitoring report according to the index value of each tumor survival index.
The embodiment of the invention also provides a tumor patient survival monitoring device based on medical insurance and death cause monitoring data, which is used for solving the technical problems that the existing tumor survival monitoring work depends on the inherent mode of tumor registration, the data statistics coverage is limited and the real-time performance is poor, and the device comprises: the new tumor case data acquisition module is used for extracting new tumor case data in a preset statistical time period from the medical insurance system; the system comprises a cause of death monitoring data acquisition module, a cause of death monitoring data acquisition module and a cause of death monitoring data acquisition module, wherein the cause of death monitoring data acquisition module is used for extracting cause of death monitoring data in a preset statistical time period from a cause of death monitoring system; the tumor case survival state information base construction module is used for constructing a tumor case survival state information base according to new tumor case data and death cause monitoring data in a preset statistical time period, and the tumor case survival state information base comprises: survival status information for each tumor case; the tumor survival index counting module is used for counting the index values of all tumor survival indexes based on the tumor case survival state information base; and the tumor survival monitoring report generating module is used for generating a tumor survival monitoring report according to the index value of each tumor survival index.
The embodiment of the invention also provides computer equipment for solving the technical problems that the existing tumor survival monitoring work depends on the inherent mode of tumor registration, the data statistics coverage is limited and the real-time performance is poor.
The embodiment of the invention also provides a computer readable storage medium, which is used for solving the technical problems that the existing tumor survival monitoring work depends on the inherent mode of tumor registration, the data statistics coverage is limited and the real-time performance is poor.
In the embodiment of the invention, the new tumor case data extracted from the medical insurance system is utilized to be in butt joint with the death factor monitoring data extracted from the death factor monitoring system to construct the tumor case survival state information base, and then the index values of all tumor survival indexes are counted based on the constructed tumor case survival state information base to generate the tumor survival monitoring report.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
fig. 1 is a flowchart of a method for monitoring survival of a tumor patient based on medical insurance and death cause monitoring data according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of tumor site segmentation and ICD-10 disease coding provided in an embodiment of the present invention;
fig. 3 is a flowchart illustrating a specific implementation of tumor survival monitoring based on medical insurance and death cause monitoring data according to an embodiment of the present invention;
FIG. 4 is a diagram illustrating the survival statistics of upper gastrointestinal malignant tumors in prefecture A according to an embodiment of the present invention;
fig. 5 is a schematic view of a device for monitoring survival of a tumor patient based on medical insurance and death cause monitoring data according to an embodiment of the present invention;
fig. 6 is a schematic diagram of an alternative oncology patient survival monitoring device based on medical insurance and death cause monitoring data provided in an embodiment of the present invention;
fig. 7 is a schematic diagram of a computer device provided in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
The medical insurance system comprises three basic medical insurance of town staff, novel rural cooperative medical insurance and town resident basic medical insurance, and the data coverage is very large. Because tumors belong to major chronic non-infectious diseases, the requirements and consumption of medical resources are large, and the economic burden on families of patients is heavy, the proportion of tumor patients who choose medical insurance for reimbursement can approach 100% theoretically, so that the medical insurance system can be used as an ideal data source for capturing tumor cases in real time, and the tumor survival monitoring system based on medical insurance and death cause monitoring data is constructed in a wider area and is feasible, real-time and efficient.
Based on the above inventive concept, the embodiment of the present invention provides a method for monitoring survival of tumor patients based on medical insurance and death cause monitoring data, which is used for determining new tumor case data in a certain statistical time period based on medical insurance data provided by a medical insurance system, and combining the death cause monitoring data provided by the death cause monitoring system to monitor the tumor survival rate (i.e. survival ratio of tumor patients in a defined time period after diagnosis is confirmed) of new tumor cases in the statistical time period. The medical insurance data and the death cause monitoring data related to the embodiment of the invention are big data.
Fig. 1 is a flowchart of a tumor patient survival monitoring method based on medical insurance and death cause monitoring data provided in an embodiment of the present invention, and as shown in fig. 1, the method includes the following steps:
s101, new tumor case data in a preset statistical time period are extracted from the medical insurance system.
In one embodiment, the above S101 may be implemented by the following steps: extracting reimbursement record information of each patient in a first time period, a preset statistical time period and a second time period from the medical insurance system, wherein the first time period is a time period which is adjacent to the preset statistical time period and occurs before the minimum time of the preset statistical time period, and the second time period is a time period which is adjacent to the preset statistical time period and occurs after the maximum time of the preset statistical time period; screening out tumor case data in the first time period, the preset statistical time period and the second time period according to reimbursement record information of each patient in the first time period, the preset statistical time period and the second time period; according to the tumor case data in the first time period, removing the data of the existing diseased cases in the preset statistical time period, and according to the tumor case data in the second time period, supplementing the data of the tumor cases which are not counted in the preset statistical time period, so as to obtain the new data of the tumor cases which are sent in the preset statistical time period.
For example, if the 5-year survival rate of new tumor cases in 2014-2018 in a certain region needs to be counted, reimbursement records with the time span of 2012 1 month 1 day to 2019 6 months 30 days can be obtained from the medical insurance system. The reimbursement record in 2012 and 2013 (i.e. the first time period) is used for identifying and eliminating the existing cases in the reimbursement record in 2014 and 2018 (i.e. the preset statistical time period), and the reimbursement record in 2019 from 1 month to 6 months and 30 days (i.e. the second time period) is used for supplementing the new cases of tumors which do not appear in the reimbursement record in 2014 and 2018 due to reimbursement settlement delay. Finally, 2014-2018 new tumor cases extracted from hospitalization reimbursement settlement records are used for survival statistics.
Optionally, in the embodiment of the present invention, the reimbursement record information extracted from the medical insurance system at least includes: the tumor case data is the case data of the patient of which the tumor word diagnosis information contains tumor keywords or words or the disease classification code belongs to the tumor classification code.
In specific implementation, all keywords or words (for example, "cancer", "sarcoma", "malignant tumor", "leukemia", "lymphoma", "hodgkin", etc.) which indicate tumors in international disease classification 10 th edition (ICD-10 for short) can be extracted to construct a tumor diagnosis dictionary, and medical insurance reimbursement records containing any keyword or word in the tumor diagnosis dictionary for discharge diagnosis are derived; based on the tumor-associated code in ICD-10 (i.e., the above-mentioned tumor classification code), medical insurance reimbursement records beginning with C00-C97 in the ICD code corresponding to the disease diagnosis are derived.
Fig. 2 shows a tumor site compartmentalization and corresponding ICD-10 disease coding provided in an embodiment of the present invention, wherein a in fig. 2 represents an excluded nasopharyngeal carcinoma and b represents an excluded C16.0.
It should be noted that the key variables extracted from the medical insurance system may further include information such as sex, year of birth, date of admission, name of hospital where the diagnosis is located, word diagnosis, ICD-10 code, and reimbursement date. Data security and privacy protection are important prerequisites and bases for carrying out the work. Therefore, in the process of exporting data, the personal sensitive information of the user, such as name, identification card number, medical certificate number, etc., needs to be covered. In the embodiment of the invention, through a hexadecimal encryption algorithm, the personal sensitive information of the user in the new tumor case data is encrypted, and a meaningless unique identification code is generated to mark the identity of the patient for subsequent data docking and data cleaning.
In an embodiment, the method for monitoring survival of a tumor patient based on medical insurance and death factor monitoring data provided in the embodiment of the present invention may further include the following steps: constructing a tumor diagnosis dictionary, wherein the tumor diagnosis dictionary comprises: a plurality of oncology keywords or words; and judging whether the disease word diagnosis information contains tumor keywords or words or not based on the constructed tumor diagnosis dictionary.
S102, extracting the death cause monitoring data in a preset statistical time period from the death cause monitoring system.
In specific implementation, a hexadecimal encryption algorithm can be adopted to encrypt the personal sensitive information of the user contained in the death cause monitoring data.
S103, constructing a tumor case survival state information base according to new tumor case data and death cause monitoring data in a preset statistical time period, wherein the tumor case survival state information base comprises: survival status information for each tumor case.
Specifically, the above S103 may be implemented by the following steps: docking the death cause monitoring data with a new tumor case database to obtain first tumor case death list information based on death cause monitoring; and generating a tumor case survival state information base according to the first tumor case death list information and second tumor case death list information obtained based on the follow-up data.
S104, counting index values of all tumor survival indexes based on the tumor case survival state information base;
it should be noted that, in the embodiment of the present invention, the tumor survival index may be any one of the following indexes: median survival, observed survival and relative survival.
In specific implementation, The method, tools and indexes of tumor survival statistics and The preparation of statistical charts in The embodiments of The present invention can refer to International Agency for Research on Cancer (IARC) publication Cancer Survival in Africa, Asia, The Caribbean and Central America (Survcan), and Chinese malignant tumor survival report in 2003-2015 of The Lancet Global Health published by The national Cancer center in 2018, which are not repeated herein.
And S105, generating a tumor survival monitoring report according to the index value of each tumor survival index.
After the index values of the tumor survival index such as median survival, observed survival rate, relative survival rate, and the like are counted, a tumor survival monitor report including these index values may be generated. Optionally, the tumor survival monitoring report generated in the embodiment of the present invention may be a visual chart to better present the survival status of the new tumor case within a certain statistical time period.
It should be noted that according to the solutions provided in the above S101 to S105 embodiments of the present invention, a tumor survival monitoring system may be developed, where the tumor survival monitoring system is respectively communicated with the medical insurance system and the cause of death monitoring system, and the survival monitoring of a new tumor case in a certain statistical time period is implemented according to the medical insurance data provided by the medical insurance system and the cause of death monitoring data provided by the cause of death monitoring system.
Taking statistics of the 5-year survival rate of new tumor cases in 2014-2018 in a certain area as an example, fig. 3 is a specific implementation flow chart for tumor survival monitoring based on medical insurance and death cause monitoring data provided in the embodiment of the present invention, as shown in fig. 3, the number of insurance participants locally classified according to gender (male, female) and age (1 year-old) in each year from 1 month 1 day of 2012 to 6 months and 30 days of 2019 in the medical insurance system database needs to be extracted first. In the tumor survival statistics, the population data of each year's insured population can be used as the basis for calculating the life table required by the expected survival rate (in the case that the monitoring area can not provide the official population life table, the survival probability after 1 year of each 1 year age group is calculated by the population of each year's insured population of the medical insurance system covered by the whole population to approximately estimate the local population life table).
In order to ensure that the personal sensitive information of the user is not leaked, in the embodiment of the invention, the personal sensitive information is masked by an encryption algorithm (for example, the hexadecimal encryption algorithm) and reimbursement record information of a tumor case is derived by using the tumor classification code and the tumor diagnosis dictionary.
In order to improve the accuracy, in the embodiment of the invention, the hospital for treatment is rated according to the treatment qualification from high to low, for example, rated as "third grade", "second grade", "first grade or not graded". Excluding the diagnosis of tumors in low-grade hospitals (such as 'primary or non-grade') and keeping the diagnosis records of 'primary' and 'secondary' hospitals, and performing automatic interpretation and manual review of tumor diagnosis, for example, performing computer automatic comparison on the literal diagnosis of diseases and the classified coding information of diseases to determine the tumor diagnosis information. And if the comparison results are consistent, determining the diagnosis information (the tumor disease part and the diagnosis time). For the record of disease code or incomplete text diagnosis information or inconsistency of two diagnosis parts, manual interpretation and recheck are carried out through panel discussion and expert consultation. The principle of manual interpretation is as follows: the location and nature are determined as diagnosis of tumor, if the location is not clear but the nature is clear, the diagnosis is classified as other locations, and if the nature is not clear, the diagnosis is rejected.
For each tumor diagnosis for each patient, only one record with the earliest admission time was kept, excluding subsequent duplicate diagnoses. And (3) reserving the record of the admission time from 1/2014 to 31/2018/12, forming a local 'new tumor disease case library' in 2014-2018, and defining the current admission date as the tumor diagnosis date.
After new tumor case data are obtained, a cause of death monitoring database (passive follow-up) of a disease prevention control center is docked and confirmed with active follow-up, and survival state information of each tumor case in a new tumor case database can be obtained. It should be noted that the follow-up expiration date for survival of tumor patients was 12 months and 31 days in 2019.
In specific implementation, the cause of death monitoring data from 1/2014 to 31/12/2019 is derived from the cause of death monitoring system. When the personal sensitive information is covered, a 'meaningless unique identification code' is generated for marking the identity according to the same hexadecimal encryption algorithm as that of the export of the medical insurance system, and the corresponding 'meaningless unique identification code' and death date information are exported. And according to the meaningless unique identification code, performing data docking on the derived death factor monitoring database and a new tumor case database of 2014-plus 2018 to obtain a tumor case death list based on the death factor monitoring data.
In order to ensure the accuracy and comprehensiveness of the survival state information collection of the tumor cases, active follow-up work needs to be synchronously carried out to verify and supplement death cases. Taking a county-level region as an example, with the support of local governments and health homes in villages and towns, a death list of tumor cases is obtained by visiting village doctors. Comparing the list with the death list based on the death cause monitoring data and the follow-up total list provided by the new tumor case library, and performing active follow-up (ways of visiting/telephone and the like) of individual level to verify the survival information of all cases (except the case of losing visit) on the tumor cases with inconsistent death information and the cases not included in the two death lists so as to finally form a tumor case survival state library.
Furthermore, the accuracy (sensitivity, specificity) of capturing tumor death cases from local cause of death monitoring data can be evaluated from the "tumor case survival status library" with reference to the following formula:
the median survival time and survival rate can reflect the prognosis level of a tumor patient at a specific part, and are also important indexes for measuring the regional health service conditions, the medical treatment technical level and the tumor prevention and control performance. Thus, in an embodiment of the present invention, the statistical tumor survival indicators include: median survival, 5-year observed survival, 5-year relative survival and age-normalized 5-year relative survival.
It should be noted that median survival time is defined as the shortest survival time when the Kaplan-Meier survival function is not higher than 50%, i.e. the follow-up time corresponding to half of the observed tumor patients who die. The 5-year observed survival rate refers to the proportion of patients with survival period of more than or equal to 5 years in a batch of follow-up tumor patients, and is estimated by a life-cycle table method or a Kaplan-Meier method. In the course of the analysis to observe survival, patient death was the endpoint of the observation, including death from tumors and other causes. The observed survival rate reflects the overall death of the tumor patient, and people often pay more attention to the influence of the tumor on the survival state of the patient, namely the net survival rate. Relative survival can estimate the net survival of tumor patients in the absence of complete, accurate, complete cause of death information.
When the relative survival rate is counted, the local 2014-plus 2019 total cause of death life table is directly obtained, or the 1-year survival probability of the corresponding age is calculated according to the 'composition of 1-year group ages of each year in 1 year of each year in 2014-plus 2020' of the reference and protection population provided by the medical and protection system, and the local 2014-plus 2019 total cause of death life table is calculated. And (3) performing 1:1 matching on each tumor patient in the 2014-plus 2018 new tumor disease case library in a total death cause life sheet according to the sex, the age and the year of the disease, and calculating the expected survival rate of the general population corresponding to the tumor patient according to the death probability of the matched population in the life sheet. Calculation of expected survival rates uses the Ederer II method.
The relative survival rate, which is the ratio of the observed survival rate of the tumor patient population to the expected survival rate corresponding to the population, is calculated by the following formula:
further, considering that the prognosis of tumor patients is influenced by age for most tumor species, it is necessary to adjust the age when comparing the survival rates of patients at different periods in different regions. The common age adjustment method is to calculate the relative Survival rates of different age groups according to the ages of 0-44, 45-54, 55-64, 65-74 and 75-99, and then calculate the weighted average relative Survival rates of the age groups according to the age composition of a set of ICSS Standard population (International Cancer Survival Standard weights: 0.07 (age-44), 0.12 (age-45-54), 0.23 (age-55-64), 0.29 (age-65-74) and 0.29 (age-75-99)), and take the relative Survival rates as the age-normalized relative Survival rates.
However, in the actual calculation process, the problem that the traditional means cannot be used for age adjustment due to the fact that the number of patients with part of tumor species in a specific age group is scarce exists. Therefore, in the embodiment of the invention, the Brenner and Hakulenen method is adopted to calculate the age-normalized relative survival rate. The method is characterized in that ICSS weights are individually assigned to each tumor patient in the first step of survival rate calculation, and the subsequent survival rate calculation is based on the individually weighted tumor patients.
Taking county a as an example, the survival rate of new upper gastrointestinal malignant tumor patients in 2014-2018 in local is reported. The tumor patient survival monitoring method based on medical insurance and death cause monitoring data provided by the embodiment of the invention can specifically comprise the following steps:
the data source:
the constitution of the population of the Shenbao and the record of the hospitalization reimbursement and settlement are both from the medical insurance system covered by the whole population in the county A, and the death data are from the death cause monitoring system of the disease prevention and control center in the county A and the supplement of active follow-up.
Setting a time frame:
the starting and ending time of the population of the insured life is 2014-2020, and the starting and ending time of the hospitalization reimbursement record is 1 month and 1 day in 2012 to 6 months and 30 days in 2019. The time between the beginning and the end of the death cause monitoring data is 1 month and 1 day in 2014 to 12 months and 31 days in 2019. Survival status of all tumor patients was followed up to 2019, 12 and 31.
Generating a survival state library of upper gastrointestinal malignant tumor cases (end of 2019):
on the premise of covering personal sensitive information, identifying and deriving reimbursement records related to upper gastrointestinal malignant tumors in a medical insurance system by using ICD-10(C00-C97) and a diagnosis dictionary to form an 'original library of upper gastrointestinal malignant tumor cases'; the diagnosis records of the second-level and third-level hospitals are kept, and automatic interpretation and manual rechecking of upper gastrointestinal tumor diagnosis are carried out to form an upper gastrointestinal malignant tumor case quality control library; the first record of each case is reserved, and all records in 2012, 2013 and 2019 are further rejected to form a new upper gastrointestinal malignant tumor disease case library (2014-2018). The database is in butt joint and matching with a death cause monitoring database, interview villager doctors and entry active follow-up visits are assisted, survival state information (except for case of missed visits) of all tumor patients is clarified, and an upper gastrointestinal malignant tumor case survival state database (2019 late) is formed.
Fourthly, statistical analysis: for statistical indicators and calculation methods, reference is made to the above contents, which are not described herein again.
According to the tumor patient survival monitoring method based on medical insurance and death cause monitoring data provided by the embodiment of the invention, the result of obtaining the survival statistics of the upper gastrointestinal malignant tumor in prefecture A is shown in FIG. 4.
Based on the same inventive concept, the embodiment of the present invention further provides a device for monitoring survival of tumor patients based on medical insurance and death cause monitoring data, as described in the following embodiments. Because the principle of the device for solving the problems is similar to the method for monitoring the survival of the tumor patients based on the medical insurance and the death cause monitoring data, the implementation of the device can be referred to the implementation of the method for monitoring the survival of the tumor patients based on the medical insurance and the death cause monitoring data, and repeated parts are not repeated.
Fig. 5 is a schematic view of a device for monitoring survival of a tumor patient based on medical insurance and death cause monitoring data provided in an embodiment of the present invention, as shown in fig. 5, the device includes: the system comprises a new tumor case data acquisition module 51, a cause of death monitoring data acquisition module 52, a tumor case survival state information base construction module 53, a tumor survival index statistics module 54 and a tumor survival monitoring report generation module 55.
The new tumor case data acquisition module 51 is used for extracting new tumor case data in a preset statistical time period from the medical insurance system; the cause of death monitoring data acquisition module 52 is configured to extract cause of death monitoring data within a preset statistical time period from the cause of death monitoring system; a tumor case survival status information base construction module 53, configured to construct a tumor case survival status information base according to new tumor case data and death cause monitoring data within a preset statistical time period, where the tumor case survival status information base includes: survival status information for each tumor case; a tumor survival index counting module 54, configured to count index values of the tumor survival indexes based on the tumor case survival state information base; and a tumor survival monitoring report generating module 55, configured to generate a tumor survival monitoring report according to the index value of each tumor survival index.
In one embodiment, the new tumor case data obtaining module 51 is further configured to: extracting reimbursement record information of each patient in a first time period, a preset statistical time period and a second time period from the medical insurance system, wherein the first time period is a time period which is adjacent to the preset statistical time period and occurs before the minimum time of the preset statistical time period, and the second time period is a time period which is adjacent to the preset statistical time period and occurs after the maximum time of the preset statistical time period; screening out tumor case data in the first time period, the preset statistical time period and the second time period according to reimbursement record information of each patient in the first time period, the preset statistical time period and the second time period; according to the tumor case data in the first time period, removing the data of the existing diseased cases in the preset statistical time period, and according to the tumor case data in the second time period, supplementing the data of the tumor cases which are not counted in the preset statistical time period, so as to obtain the new data of the tumor cases which are sent in the preset statistical time period.
Optionally, the reimbursement record information extracted by the new tumor case data obtaining module 51 at least includes: the tumor case data is the case data of the patient of which the tumor word diagnosis information contains tumor keywords or words or the disease classification code belongs to the tumor classification code.
In one embodiment, as shown in fig. 6, the device for monitoring survival of oncology patients based on medical insurance and death cause monitoring data provided in the embodiment of the present invention further includes: a tumor diagnosis dictionary constructing module 56, configured to construct a tumor diagnosis dictionary, where the tumor diagnosis dictionary includes: a plurality of oncology keywords or words; and the tumor diagnosis dictionary inquiring module 57 is configured to judge whether the disease word diagnosis information includes a tumor keyword or word based on the constructed tumor diagnosis dictionary.
In one embodiment, as shown in fig. 6, the device for monitoring survival of oncology patients based on medical insurance and death cause monitoring data provided in the embodiment of the present invention further includes: and the encryption module 58 is used for encrypting the personal sensitive information of the user contained in the new tumor case data and the death cause monitoring data by adopting a hexadecimal encryption algorithm.
In one embodiment, the tumor case survival status information base construction module 53 is further configured to: docking the death cause monitoring data with a new tumor case database to obtain first tumor case death list information based on death cause monitoring; and generating a tumor case survival state information base according to the first tumor case death list information and second tumor case death list information obtained based on the follow-up data.
Alternatively, the tumor survival index counted by the tumor survival index counting module 54 may be any one of the following: median survival, observed survival and relative survival.
Based on the same inventive concept, a computer device is further provided in the embodiments of the present invention to solve the technical problems that the existing tumor survival monitoring work depends on the inherent mode of tumor registration, the data statistics coverage is limited, and the real-time performance is poor, as shown in fig. 7, fig. 7 is a schematic diagram of a computer device provided in the embodiments of the present invention, as shown in fig. 7, the computer device 70 includes a memory 701, a processor 702, and a computer program stored on the memory 701 and operable on the processor 702, and when the processor 702 executes the computer program, the method for monitoring survival of tumor patients based on medical insurance and death cause monitoring data is implemented.
Based on the same inventive concept, the embodiment of the invention also provides a computer readable storage medium, which is used for solving the technical problems that the existing tumor survival monitoring work depends on the inherent mode of tumor registration, the data statistics coverage is limited and the real-time performance is poor.
In summary, embodiments of the present invention provide a method, an apparatus, a computer device, and a computer readable storage medium for monitoring survival of tumor patients based on medical insurance and death cause monitoring data, wherein new tumor case data extracted from a medical insurance system is utilized to be docked with death cause monitoring data extracted from a death cause monitoring system to construct a tumor case survival status information base, and then index values of each tumor survival index are counted based on the constructed tumor case survival status information base to generate a tumor survival monitoring report.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A tumor patient survival monitoring method based on medical insurance and death cause monitoring data is characterized by comprising the following steps:
extracting new tumor case data in a preset statistical time period from a medical insurance system;
extracting the cause of death monitoring data in the preset statistical time period from the cause of death monitoring system;
constructing a tumor case survival state information base according to the new tumor case data and the death cause monitoring data in the preset statistical time period, wherein the tumor case survival state information base comprises: survival status information for each tumor case;
counting index values of all tumor survival indexes based on the tumor case survival state information base;
and generating a tumor survival monitoring report according to the index value of each tumor survival index.
2. The method of claim 1, wherein extracting new tumor case data within a predetermined statistical time period from a medical insurance system comprises:
extracting reimbursement record information of each patient in a first time period, a preset statistical time period and a second time period from a medical insurance system, wherein the first time period is a time period which is adjacent to the preset statistical time period and occurs before the minimum time of the preset statistical time period, and the second time period is a time period which is adjacent to the preset statistical time period and occurs after the maximum time of the preset statistical time period;
screening out tumor case data in the first time period, the preset statistical time period and the second time period according to reimbursement record information of each patient in the first time period, the preset statistical time period and the second time period;
according to the tumor case data in the first time period, removing the data of the existing diseased cases in the preset statistical time period, and according to the tumor case data in the second time period, supplementing the tumor case data which are not counted in the preset statistical time period, so as to obtain new data of the discovered tumor cases in the preset statistical time period.
3. The method of claim 2, wherein the reimbursement record information comprises at least: the tumor case data is the case data of the patient of which the tumor word diagnosis information contains tumor keywords or words or the disease classification code belongs to the tumor classification code.
4. The method of claim 3, wherein the method further comprises:
constructing a tumor diagnosis dictionary, wherein the tumor diagnosis dictionary comprises: a plurality of oncology keywords or words;
and judging whether the disease word diagnosis information contains tumor keywords or words or not based on the constructed tumor diagnosis dictionary.
5. The method of claim 1, wherein the method further comprises:
and encrypting the personal sensitive information of the user contained in the new tumor case data and the death cause monitoring data by adopting a hexadecimal encryption algorithm.
6. The method of claim 1, wherein constructing a tumor case survival status information base according to new tumor case data and cause of death monitoring data within the preset statistical time period comprises:
docking the death cause monitoring data with a new tumor case database to obtain first tumor case death list information based on death cause monitoring;
and generating a tumor case survival state information base according to the first tumor case death list information and second tumor case death list information obtained based on follow-up data.
7. The method of any one of claims 1 to 6, wherein the tumor survival indicator is any one of: median survival, observed survival and relative survival.
8. A oncology patient survival monitoring device based on medical insurance and death cause monitoring data, comprising:
the new tumor case data acquisition module is used for extracting new tumor case data in a preset statistical time period from the medical insurance system;
the system comprises a cause of death monitoring data acquisition module, a cause of death monitoring data acquisition module and a cause of death monitoring data acquisition module, wherein the cause of death monitoring data acquisition module is used for extracting cause of death monitoring data in the preset statistical time period from a cause of death monitoring system;
the tumor case survival state information base construction module is used for constructing a tumor case survival state information base according to new tumor case data and death cause monitoring data in the preset statistical time period, and the tumor case survival state information base comprises: survival status information for each tumor case;
the tumor survival index counting module is used for counting the index values of all tumor survival indexes on the basis of the tumor case survival state information base;
and the tumor survival monitoring report generating module is used for generating a tumor survival monitoring report according to the index value of each tumor survival index.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program implements the method for monitoring survival of oncology patients based on medical insurance and mortality monitoring data according to any one of claims 1 to 7.
10. A computer readable storage medium, wherein the computer readable storage medium stores a computer program for executing the method for monitoring survival of oncology patients based on medical insurance and mortality monitoring data of any one of claims 1 to 7.
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