CN114005530A - Intelligent reminding and monitoring method and system for medical repeated examination and inspection in area - Google Patents
Intelligent reminding and monitoring method and system for medical repeated examination and inspection in area Download PDFInfo
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Abstract
The invention discloses an intelligent reminding and monitoring method and system for medical repeated examination and inspection in a region, wherein the method comprises the following steps: s1, collecting historical examination and inspection data of the medical institution; s2, extracting corresponding examination and inspection item information from the historical examination and inspection data; s3, establishing mapping rules of examination and inspection project information and regional medical examination and inspection mutual-confirmation projects; s4, mapping through the mapping rule, and outputting the mapping result; s5, storing the historical inspection and check data associated with the label in an inspection and check historical database with a mutual identification item label; s6, iteratively optimizing the mapping rule; s7, repeatedly checking and checking the intelligent reminding engine to carry out intelligent reminding; s8, the duplicate inspection, inspection monitoring engine periodically monitors the inspection, inspection history database with mutual authentication item tags. Has the advantages that: medical actions and services are standardized and improved by automatically matching intelligent reminders and the like.
Description
Technical Field
The invention relates to the technical field of medical resource management, in particular to an intelligent reminding and monitoring method and system for repeated medical examination and inspection in an area.
Background
The patient often encounters the situations of over-examination, unreasonable examination, examination and repeated examination and examination in the process of visiting a doctor by a medical institution, and the examination and examination result of the patient in the previous hospital after the patient is transferred cannot be accepted by the next hospital, so that the patient is required to be repeatedly examined and examined, and the series of unreasonable medical examination and examination behaviors have negative effects on the body and the economy of the patient. In order to standardize medical behaviors, improve medical services, reduce the cost of patients for treatment, simplify the links of patients for treatment, embody a people-oriented service concept in the medical process, reasonably and effectively utilize medical resources, and national and local government health management departments issue relevant policies aiming at promoting reasonable examination and inspection, and require medical institutions to mutually recognize examination and inspection project results which are previously done by patients under the condition of meeting mutual recognition.
At present, an effective solution is not provided to match with relevant policies to find the problems of repeated examination and inspection, and the unreasonable medical behaviors of repeated examination and inspection in the region are systematically reduced by timely reminding in the process and supervising and examining after the fact.
Disclosure of Invention
Aiming at the problems in the related art, the invention provides an intelligent reminding and monitoring method and system for medical repeated examination and inspection in an area, so as to overcome the technical problems in the prior related art.
Therefore, the invention adopts the following specific technical scheme:
according to one aspect of the invention, an intelligent reminding and supervising method for medical repeated examination and inspection in an area is provided, which comprises the following steps:
s1, collecting historical inspection and inspection data of the medical institution within a preset coverage range and a preset time period in the private network, and storing the data on a regional medical data cloud platform;
s2, extracting corresponding examination and inspection item information from each piece of historical examination and inspection data;
s3, establishing the mapping rule of the examination and inspection project information and the regional medical examination and inspection mutual-confirmation project;
s4, mapping the inspection and inspection item information extracted from each piece of historical inspection and inspection data respectively through the mapping rule, and outputting a mapping result, wherein the mapping result comprises corresponding regional medical inspection, inspection mutual-recognition items and null;
s5, regarding each mapping result as corresponding mutual recognition item labels in the corresponding regional medical examination, the historical examination of the mutual recognition item inspection and the inspection data association, and storing the mapping results in an examination and inspection historical database with the mutual recognition item labels;
s6, periodically analyzing the empty mapping result and the checking with mutual recognition item label, checking the historical checking and checking data in the historical database, and iteratively optimizing the mapping rule;
s7, when a doctor opens an examination and examination request form for a patient through a doctor workstation, the repeated examination and examination intelligent reminding engine automatically maps new data and matches the new data with examination with mutual recognition project labels, historical examination in an examination historical database and examination data; if the matching is successful, intelligent reminding is carried out;
and S8, the repeated examination and inspection monitoring engine regularly monitors the examination and inspection historical database with the mutual identification project label and reports the monitoring result to the regional health and health management organization.
Further, the historical checking and checking data comprises historical checking data and historical checking data;
the historical inspection data comprises an inspection request form, an inspection report and an image file, and the historical inspection data comprises an inspection request form and an inspection report.
Further, the inspection and verification item information comprises inspection item information and verification item information;
the inspection item information comprises an inspection part, an inspection method, an inspection item name, an inspection item code, an inspection item charge code and a medical institution code, and the inspection item information comprises an inspection item name, inspection item content, an inspection item code, an inspection item charge code and a medical institution code.
Further, the regional medical examination and inspection mutual-recognition item refers to a medical examination and inspection item which is specifically included in a mutual-recognition range by a regional health management organization, and the mutual-recognition item label comprises a standard item name and a unique code.
Further, the method for establishing the mapping rule of the examination, the inspection item information and the regional medical examination and the inspection mutual-recognition item comprises at least one of manual work, statistics or machine learning.
Furthermore, the repeated checking and inspection intelligent reminding engine automatically maps new data and matches the new data with checking and inspection history data in the checking and inspection history database with mutual recognition project labels, and if the matching is successful, the intelligent reminding method is primary or secondary inquiry.
Further, the method for one-time query is adopted to realize that the repeated checking and checking intelligent reminding engine automatically maps new data, and matches the new data with checking with mutual-recognition item labels and historical checking and checking data in the checking historical database, and if the matching is successful, intelligent reminding is carried out, and the method comprises the following steps:
s71, when a doctor initiates an examination and inspection request form for a patient through a doctor workstation, after the doctor clicks and saves the examination and inspection request form, the doctor workstation sends an inquiry request to the repeated examination and inspection intelligent reminding engine along with the identity information of the patient and the information of examination and inspection items;
s72, after receiving the query request, the repeated checking and checking intelligent reminding engine maps the received checking and checking item information through the mapping rule and outputs a mapping result;
s73, when the mapping result is the corresponding regional medical examination and inspection mutual-confirmation project, the repeated examination and inspection intelligent reminding engine matches the data in the mutual-confirmation time-validity period in the examination and inspection history database with the mutual-confirmation project label by using the standard project name, the unique code and the received patient identity information corresponding to the project, and returns the result to the doctor workstation;
and S74, if the matching is successful, the doctor workstation pops up the window to remind, and the doctor can check the historical examination and inspection data of the patient and decide whether to cancel the repeated examination and inspection project application according to the actual situation.
Further, the secondary query method is adopted to realize that the repeated inspection and inspection intelligent reminding engine automatically maps new data, and matches the new data with inspection with mutual recognition item labels and historical inspection and inspection data in the inspection historical database, and if the matching is successful, intelligent reminding is carried out, and the method comprises the following steps:
s71', when a doctor opens an examination and inspection request form for a patient through a doctor workstation and selects the patient to open an electronic disease duration, the doctor workstation sends a first inquiry request to an intelligent reminding engine for repeated examination and inspection along with the identity information of the patient;
s72', the repeated checking and inspection intelligent reminding engine matches the received patient identity information with the data in the checking and inspection time-of-mutual-authentication period in the checking and inspection history database with the mutual-authentication item label after receiving the first query request, returns the result to the doctor workstation, and simultaneously caches the checking and inspection history data in the matched patient time-of-mutual-authentication period in the database to the memory to accelerate the second query speed;
s73', the doctor workstation receives the first query result, if the patient does not do the mutual-recognition item within the mutual-recognition time period, the repeated examination and the inspection reminding are not triggered, and if the patient does the mutual-recognition item within the mutual-recognition time period, the second query is triggered;
s74', when the doctor finishes checking and checking the items and clicks to save, if the first inquiry result is that the patient has done the mutual authentication item within the mutual authentication period, the second inquiry is triggered, the doctor workstation carries the patient identity information and the checking and checking item information to send the second inquiry request to the repeated checking and checking intelligent reminding engine;
s75', after the repeated checking and inspection intelligent reminding engine receives the second query request, mapping the received checking and inspection item information through the mapping rule, and outputting a mapping result;
s76', when the mapping result is the corresponding regional medical examination and inspection mutual-confirmation project, the repeated examination and inspection intelligent reminding engine matches the examination and inspection historical data in the patient mutual-confirmation time-validity period in the cache with the standard project name, the unique code and the received patient identity information corresponding to the project, and returns the result to the doctor workstation;
s77', if the matching is successful, the doctor workstation pops up the window to remind, the doctor can check the historical examination and inspection data of the patient, and decide whether to cancel the repeated examination and inspection project application according to the actual situation.
Further, the repeated inspection and inspection monitoring engine regularly monitors the inspection and inspection historical database with the mutual identification project label and reports the monitoring result to the regional health and wellness management institution, and the repeated inspection and inspection monitoring engine comprises the following steps:
s81, repeating the examination, examination and monitoring engine, and matching the patient identity information and the mutual identification item label corresponding to each newly added data in the examination and examination historical database with the mutual identification item label with the patient identity information and the mutual identification item label corresponding to all data in the mutual identification time period in the database one by one in a specified time interval;
and S82, reporting the successfully matched data to a regional health management organization for directional supervision.
According to another aspect of the invention, an intelligent reminding and supervising system for medical repeated examination and inspection in an area is also provided, which comprises the following components:
the doctor workstation is an information system which is used for medical institutions to help clinicians to standardize and efficiently finish writing and maintaining daily prescriptions and medical records;
the repeated checking and inspection intelligent reminding engine is used for automatically mapping the new data, matching the new data with checking with mutual-recognition item labels, historical checking in an inspection historical database and inspection data, and carrying out intelligent reminding if matching is successful;
the repeated inspection and inspection monitoring engine is used for monitoring an inspection and inspection historical database with mutual-recognition item labels, identifying highly suspected repeated inspection and inspection data and reporting a monitoring result to a regional health management organization;
the basic databases of the repeated inspection and inspection intelligent reminding engine and the repeated inspection and inspection monitoring engine are inspection and inspection historical databases with mutual recognition project labels.
The invention has the beneficial effects that: the method realizes automatic identification of repeated examination and timely reminding of doctors in the process by the steps of data acquisition, data management, mapping rule establishment, formation of examination with mutual-recognition item labels, examination of a historical database and the like and combining with an intelligent reminding engine for repeated examination and an examination monitoring engine for examination, provides regular and directional supervision service for a regional health management organization after the fact, and effectively reduces the occurrence of repeated examination and examination problems of medical science in the region, thereby further standardizing medical behaviors, improving medical service, reducing the cost of patients for seeing a doctor, simplifying the links of patients for seeing a doctor, simultaneously, reasonably and effectively utilizing medical resources and bringing civil value to the masses.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flow chart of a method for medical repeat screening, verification intelligence alerts and monitoring in an area according to an embodiment of the present invention;
FIG. 2 is a flow chart of a query pattern in a method for medical repeat screening, test intelligent reminder and supervision in an area according to an embodiment of the present invention;
FIG. 3 is a flow chart of a secondary query pattern in a method for medical repeat screening, test intelligent reminder and supervision in an area in accordance with an embodiment of the present invention;
FIG. 4 is a flowchart of an overall scheme in a method for medical repeat-check, test-intelligence reminder and supervision in an area, according to an embodiment of the invention;
FIG. 5 is a system block diagram of an intra-regional medical repeat examination, verification intelligent reminder and surveillance system according to an embodiment of the present invention.
In the figure:
1. a doctor workstation; 2. repeatedly checking and inspecting the intelligent reminding engine; 3. the monitoring engine is checked and checked repeatedly.
Detailed Description
According to one embodiment of the invention, an intelligent reminding and supervising method for medical repeated examination and inspection in an area is provided.
Referring to the drawings and the detailed description, the invention will be further explained, as shown in fig. 1 to 4, in an embodiment of the invention, an intelligent reminding and supervising method for medical repeated examination and inspection in a region, the method includes the following steps:
s1, collecting historical inspection and inspection data of the medical institution within a preset coverage range and a preset time period in the private network, and storing the data on a regional medical data cloud platform;
the preset coverage range in the area can be part of medical institutions (such as two-level and above medical institutions) in the area, or all medical institutions in the area, and is specifically determined according to the clear mutual-recognition institution range of the regional health management department; the preset time period can also be adjusted according to the clear mutual recognition aging of the regional health management department.
S2, extracting corresponding examination and inspection item information from each piece of historical examination and inspection data;
the historical inspection and verification data comprises historical inspection data and historical verification data, and the inspection and verification item information comprises inspection item information and verification item information;
wherein, the historical examination data comprises an examination request form, an examination report and an image file (the data of the examination request form, the examination report, the image file and the like corresponding to a single examination of the patient is taken as a piece of historical examination data); the historical test data comprises a test application form and a test report (the data such as the test application form and the test report corresponding to the single test of the patient is used as a piece of historical test data); the inspection item information comprises an inspection part, an inspection method, an inspection item name, an inspection item code, an inspection item charge code and a medical institution code, and the inspection item information comprises an inspection item name, inspection item content, an inspection item code, an inspection item charge code and a medical institution code.
S3, establishing the mapping rule of the examination and inspection project information and the regional medical examination and inspection mutual-confirmation project;
since the habits of doctors are different and different hospitals have differences in management standards and informatization degrees, the extracted information contents of the examination and inspection projects are different when the same examination and inspection project is aimed at. Therefore, a mapping rule needs to be established, and the collected historical examination and inspection data correspond to standardized mutual-confirmation items of regional medical examination and inspection, so that subsequent repeated examination and matching of inspection items are facilitated by using a unified standard.
In addition, when the mapping rule is established, part or all of fields in the inspection and check item information can be used as mapping source data, and the specific fields can be flexibly selected according to different utilization methods.
In addition, the regional medical examination and inspection mutual-recognition item refers to a medical examination and inspection item which is specifically included in a mutual-recognition range by a health and health management organization, and the mutual-recognition item label comprises a standard item name and a unique code. Taking Chongqing city as an example, the Weijian Commission of Chongqing city defines 41 radiological examination items as first medical examination mutual-confirmation items, and sets unique codes for the 41 examination items.
The method for establishing the mapping rule of the inspection, the inspection project information, the regional medical inspection and the inspection mutual-recognition project comprises at least one of manual work, statistics or machine learning, and the specific using method can be flexibly selected according to conditions such as actual data volume and available resources of each region.
The following description takes the manual establishment of mapping rules as an example:
1. and (4) checking and verifying item name disassembling: the method comprises the steps that for the condition that the name of an inspection item extracted from one piece of historical inspection and inspection data actually contains a plurality of inspection and inspection items, the inspection and inspection item is divided into a plurality of inspection and inspection item names;
2. and (3) detecting and testing the name denoising of the project: denoising all the split inspection and inspection project names, and removing meaningless symbols;
the purpose of denoising is to ensure that the item name polymerization degree of examination and inspection is higher.
3. Checking and checking the high-low frequency sequencing of the project names: sorting the split and denoised inspection and inspection project names from high to low according to the occurrence frequency in all historical data;
by analyzing the polymerization degree of the high-frequency and low-frequency distribution of the inspection and inspection project names, the occurrence frequency of the Top500 inspection and inspection project names accounts for more than 90% of the total frequency of the historical data, which means that the mapping problem of the inspection and inspection projects of more than 90% can be solved by solving the Top500 inspection and inspection project names.
4. Establishing a checking and checking item mapping table: and establishing a mapping relation table of Top examination, examination project names and regional medical examination and examination mutual-recognition projects through manual analysis.
The specific value of Top can be flexibly set according to the actual application scene, and the suggestion is at least Top 500. If the Top examination and the inspection project names have partial names which do not belong to the regional medical examination and the inspection mutual-recognition project during analysis, the mapping result is null, and the mapping relation does not exist between the partial names and the regional medical examination and inspection mutual-recognition projects.
In addition to manually establishing mapping rules, the machine learning method may be FastText, TextCNN, TextRNN, Hierarchical Attention Network, or the like.
The following is described with FastText as an example:
1. converting inspection and inspection item information extracted from historical inspection and inspection data into corresponding vocabulary text sequences;
2. passing the vocabulary text sequence through an input layer to obtain corresponding word vectors;
3. and fitting and training the word vectors and standardized regional medical examination and inspection mutual-recognition items through a hidden layer and an output layer and combining AUC, ROC and LOSS curves, and outputting corresponding mapping rules.
S4, mapping the inspection and inspection item information extracted from each piece of historical inspection and inspection data respectively through the mapping rule, and outputting a mapping result, wherein the mapping result comprises corresponding regional medical inspection, inspection mutual-recognition items and null;
s5, regarding each mapping result as corresponding mutual recognition item labels in the corresponding regional medical examination, the historical examination of the mutual recognition item inspection and the inspection data association, and storing the mapping results in an examination and inspection historical database with the mutual recognition item labels;
the inspection and inspection history database with the mutual recognition item label is updated in real time, and the data of the mutual recognition item can be stored into the inspection and inspection history database with the mutual recognition item label through the steps as long as the medical institution in the preset coverage area in the area generates new inspection and inspection data.
S6, periodically analyzing the empty mapping result and the checking with mutual recognition item label, checking the historical checking and checking data in the historical database, and iteratively optimizing the mapping rule;
the methods for periodically analyzing and iteratively optimizing the mapping rule are numerous, and need to be flexibly selected according to the method used when the mapping rule is established and the actual application scenario, for example, as follows:
for example, the historical inspection, the inspection corresponding to the inspection data, and the inspection item names in which the mapping result is empty in the preset time period are sorted from high to low according to the occurrence frequency, the relationships between the high-frequency (high and low-frequency thresholds are set according to the actual scene needs) inspection, the inspection item names, the regional medical inspection, and the inspection mutual-recognition items in the historical inspection, the inspection corresponding to the inspection data, and the inspection item names are manually analyzed, and the mapping rule established in the step S3 is correspondingly updated.
For example, randomly sampling data in the inspection and inspection history database with the mutual-recognition item tag, extracting data of a preset sample number for manual inspection, analyzing data with mapping errors, and further iteratively optimizing the mapping rule established in step S3.
S7, when a doctor opens an examination and examination request form for a patient through a doctor workstation, the repeated examination and examination intelligent reminding engine automatically maps new data and matches the new data with examination with mutual recognition project labels, historical examination in an examination historical database and examination data; if the matching is successful, intelligent reminding is carried out;
the repeated checking and inspection intelligent reminding engine automatically maps new data and matches the new data with checking and inspection history data in the mutual recognition project label, the intelligent reminding method is a primary inquiry or a secondary inquiry if the matching is successful, and the medical institution can select an inquiry method suitable for the medical institution according to the actual conditions (server performance, service volume and the like) of the medical institution.
As shown in fig. 2, the method for one-time query is adopted to realize that the repeated inspection and inspection intelligent reminding engine automatically maps new data, and matches the new data with inspection with mutual-recognition item labels, historical inspection in the inspection historical database and inspection data, and if the matching is successful, intelligent reminding is performed, and the method comprises the following steps:
s71, when a doctor initiates an examination and inspection request form for a patient through a doctor workstation, after the doctor clicks and saves the examination and inspection request form, the doctor workstation sends an inquiry request to the repeated examination and inspection intelligent reminding engine along with the identity information of the patient and the information of examination and inspection items;
the patient identity information comprises the name, age, sex, identification card number and medical insurance card number of the patient.
S72, after receiving the query request, the repeated checking and checking intelligent reminding engine maps the received checking and checking item information through the mapping rule and outputs a mapping result;
specifically, which fields in the inspection and inspection project information are used as the source data, and what preprocessing (such as disassembling and denoising) needs to be performed on the source data before mapping is set according to the mapping rule established in step S3 in the actual application scenario.
S73, when the mapping result is the corresponding regional medical examination and inspection mutual-confirmation project, the repeated examination and inspection intelligent reminding engine matches the data in the mutual-confirmation time-validity period in the examination and inspection history database with the mutual-confirmation project label by using the standard project name, the unique code and the received patient identity information corresponding to the project, and returns the result to the doctor workstation;
and S74, if the matching is successful, the doctor workstation pops up the window to remind, and the doctor can check the historical examination and inspection data of the patient and decide whether to cancel the repeated examination and inspection project application according to the actual situation.
As shown in fig. 3, the secondary query method is adopted to realize that the repeated inspection and inspection intelligent reminding engine automatically maps new data, and matches the new data with inspection with mutual-recognition item labels, historical inspection in the inspection historical database and inspection data, and if the matching is successful, intelligent reminding is performed, and the method comprises the following steps:
s71', when a doctor opens an examination and inspection request form for a patient through a doctor workstation and selects the patient to open an electronic disease duration, the doctor workstation sends a first inquiry request to an intelligent reminding engine for repeated examination and inspection along with the identity information of the patient;
the patient identity information comprises the name, age, sex, identification card number and medical insurance card number of the patient.
S72', the repeated checking and inspection intelligent reminding engine matches the received patient identity information with the data in the checking and inspection time-of-mutual-authentication period in the checking and inspection history database with the mutual-authentication item label after receiving the first query request, returns the result to the doctor workstation, and simultaneously caches the checking and inspection history data in the matched patient time-of-mutual-authentication period in the database to the memory to accelerate the second query speed;
s73', the doctor workstation receives the first query result, if the patient does not do the mutual-recognition item within the mutual-recognition time period, the repeated examination and the inspection reminding are not triggered, and if the patient does the mutual-recognition item within the mutual-recognition time period, the second query is triggered;
s74', when the doctor finishes checking and checking the items and clicks to save, if the first inquiry result is that the patient has done the mutual authentication item within the mutual authentication period, the second inquiry is triggered, the doctor workstation carries the patient identity information and the checking and checking item information to send the second inquiry request to the repeated checking and checking intelligent reminding engine;
s75', after the repeated checking and inspection intelligent reminding engine receives the second query request, mapping the received checking and inspection item information through the mapping rule, and outputting a mapping result;
specifically, which fields in the inspection and inspection project information are used as the source data, and what preprocessing (such as disassembling and denoising) needs to be performed on the source data before mapping is set according to the mapping rule established in step S3 in the actual application scenario.
S76', when the mapping result is the corresponding regional medical examination and inspection mutual-confirmation project, the repeated examination and inspection intelligent reminding engine matches the examination and inspection historical data in the patient mutual-confirmation time-validity period in the cache with the standard project name, the unique code and the received patient identity information corresponding to the project, and returns the result to the doctor workstation;
s77', if the matching is successful, the doctor workstation pops up the window to remind, the doctor can check the historical examination and inspection data of the patient, and decide whether to cancel the repeated examination and inspection project application according to the actual situation.
And S8, the repeated examination and inspection monitoring engine regularly monitors the examination and inspection historical database with the mutual identification project label and reports the monitoring result to the regional health and health management organization.
The repeated inspection and inspection monitoring engine regularly monitors an inspection and inspection historical database with mutual identification project labels and reports the monitoring result to a regional health management organization, and the repeated inspection and inspection monitoring engine comprises the following steps:
s81, repeating the examination, examination and monitoring engine, and matching the examination with mutual identification item labels in the appointed time interval, the patient identity information and the mutual identification item labels corresponding to each newly added data in the examination and examination historical database with the patient identity information and the mutual identification item labels corresponding to all the data in the mutual identification time period in the database one by one;
and S82, reporting the successfully matched data to a regional health management organization for directional supervision.
According to another embodiment of the present invention, as shown in fig. 5, there is also provided an intelligent reminding and monitoring system for medical double examination and inspection in a region, which comprises the following components:
the doctor workstation 1 is an information system which is used for medical institutions to help clinicians to standardize and efficiently finish writing and maintaining daily prescriptions and medical records;
the repeated checking and inspection intelligent reminding engine 2 is used for automatically mapping new data, matching the new data with checking with mutual-recognition project labels, historical checking in an inspection historical database and inspection data, and carrying out intelligent reminding if matching is successful;
a repeated inspection and inspection monitoring engine 3 for monitoring an inspection and inspection historical database with mutual-recognition item labels, identifying highly suspected repeated inspection and inspection data, and reporting the monitoring result to a regional health management organization;
the basic databases of the repeated inspection and inspection intelligent reminding engine 2 and the repeated inspection and inspection monitoring engine 3 are inspection and inspection historical databases with mutual recognition item labels.
Examples
The intelligent reminding and monitoring system for medical repeated examination and inspection in the region is actually popularized on the ground in the health and health committees in Chongqing city and the subordinate 17 hospitals. The health and health committee of Chongqing city first identified 41 radiological examination items as regional medical examination mutual-approval items.
At present, 660 thousands of 17 hospital examination data are collected, wherein 212 thousands of data belong to 41 mutual-recognition project ranges in Chongqing city, and about 5000 new mutual-recognition project data are added every day. Meanwhile, the integration of the intelligent reminding system has been completed at 17 hospital doctor workstations, and the average reminding times are checked repeatedly 20 times each day. In addition, the repeated inspection monitoring engine monitors newly-increased data every day, 6 repeated inspection problems are found in 1 month after the online, and the accuracy rate is up to more than 90% after the repeated inspection is manually verified.
In conclusion, by means of the technical scheme, through the steps of data acquisition, data management, mapping rule establishment, formation of the inspection and inspection history database with mutual-recognition item labels and the like, and the combination of the repeated inspection and inspection intelligent reminding engine and the repeated inspection and inspection monitoring engine, the automatic identification of repeated inspection and inspection in the process is realized, doctors are reminded in time, regular and directional supervision service is provided for the regional health management organization after the fact, the occurrence of repeated inspection and inspection problems of medical science in the region is effectively reduced, the medical behaviors are further standardized, the medical service is improved, the patient hospitalization cost is reduced, the hospitalization link of the patient is simplified, the medical resources are reasonably and effectively utilized, and the civil value is brought to the masses.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. The intelligent reminding and monitoring method for medical repeated examination and inspection in the area is characterized by comprising the following steps:
s1, collecting historical inspection and inspection data of the medical institution within a preset coverage range and a preset time period in the private network, and storing the data on a regional medical data cloud platform;
s2, extracting corresponding examination and inspection item information from each piece of historical examination and inspection data;
s3, establishing the mapping rule of the examination and inspection project information and the regional medical examination and inspection mutual-confirmation project;
s4, mapping the inspection and inspection item information extracted from each piece of historical inspection and inspection data respectively through the mapping rule, and outputting a mapping result, wherein the mapping result comprises corresponding regional medical inspection, inspection mutual-recognition items and null;
s5, regarding each mapping result as corresponding mutual recognition item labels in the corresponding regional medical examination, the historical examination of the mutual recognition item inspection and the inspection data association, and storing the mapping results in an examination and inspection historical database with the mutual recognition item labels;
s6, periodically analyzing the empty mapping result and the checking with mutual recognition item label, checking the historical checking and checking data in the historical database, and iteratively optimizing the mapping rule;
s7, when a doctor opens an examination and examination request form for a patient through a doctor workstation, the repeated examination and examination intelligent reminding engine automatically maps new data and matches the new data with examination with mutual recognition project labels, historical examination in an examination historical database and examination data; if the matching is successful, intelligent reminding is carried out;
and S8, the repeated examination and inspection monitoring engine regularly monitors the examination and inspection historical database with the mutual identification project label and reports the monitoring result to the regional health and health management organization.
2. The intelligent prompting and supervising method for medical repeated examination and inspection in area as claimed in claim 1, wherein said historical examination and inspection data comprises historical examination data and historical inspection data;
the historical inspection data comprises an inspection request form, an inspection report and an image file, and the historical inspection data comprises an inspection request form and an inspection report.
3. The intelligent prompting and supervising method for medical repeated examination and inspection in area according to claim 2, wherein the examination and inspection item information includes examination item information and inspection item information;
the inspection item information comprises an inspection part, an inspection method, an inspection item name, an inspection item code, an inspection item charge code and a medical institution code, and the inspection item information comprises an inspection item name, inspection item content, an inspection item code, an inspection item charge code and a medical institution code.
4. The method for intelligent prompting and supervising of medical repeated inspection and inspection in area as claimed in claim 3, wherein said mutual-approval item of regional medical inspection and inspection refers to medical inspection and inspection item specifically included in mutual-approval scope of regional health and health administration, said mutual-approval item label includes standard item name and unique code.
5. The in-region medical repeat inspection, inspection intelligence prompting and supervising method according to claim 4, wherein the method for establishing the mapping rule of the inspection, inspection item information and region medical inspection, inspection mutual-recognition item comprises at least one of manual, statistics or machine learning.
6. The intelligent prompting and supervising method for medical repeated inspection and inspection in area as claimed in claim 5, wherein said intelligent prompting engine for repeated inspection and inspection automatically maps new data and matches the inspection with mutual identification item label, historical inspection and inspection data in inspection historical database, if matching is successful, the method for intelligent prompting is one-time query or two-time query.
7. The intelligent prompting and supervising method for medical repeated inspection and inspection in area as claimed in claim 6, wherein said one-time query method is adopted to implement automatic mapping of new data by the intelligent prompting engine for repeated inspection and inspection, and matching with inspection with mutual identification item label, historical inspection and inspection data in the historical inspection and inspection database, if matching is successful, intelligent prompting is performed, comprising the following steps:
s71, when a doctor initiates an examination and inspection request form for a patient through a doctor workstation, after the doctor clicks and saves the examination and inspection request form, the doctor workstation sends an inquiry request to the repeated examination and inspection intelligent reminding engine along with the identity information of the patient and the information of examination and inspection items;
s72, after receiving the query request, the repeated checking and checking intelligent reminding engine maps the received checking and checking item information through the mapping rule and outputs a mapping result;
s73, when the mapping result is the corresponding regional medical examination and inspection mutual-confirmation project, the repeated examination and inspection intelligent reminding engine matches the data in the mutual-confirmation time-validity period in the examination and inspection history database with the mutual-confirmation project label by using the standard project name, the unique code and the received patient identity information corresponding to the project, and returns the result to the doctor workstation;
and S74, if the matching is successful, the doctor workstation pops up the window to remind, and the doctor can check the historical examination and inspection data of the patient and decide whether to cancel the repeated examination and inspection project application according to the actual situation.
8. The intelligent prompting and supervising method for medical repeated inspection and inspection in area according to claim 7, wherein the secondary query method is adopted to realize automatic mapping of new data by the intelligent prompting engine for repeated inspection and inspection, and matching with inspection with mutual identification item labels, historical inspection in the inspection historical database and inspection data, if matching is successful, intelligent prompting is carried out, and the method comprises the following steps:
s71', when a doctor opens an examination and inspection request form for a patient through a doctor workstation and selects the patient to open an electronic disease duration, the doctor workstation sends a first inquiry request to an intelligent reminding engine for repeated examination and inspection along with the identity information of the patient;
s72', the repeated checking and inspection intelligent reminding engine matches the received patient identity information with the data in the checking and inspection time-of-mutual-authentication period in the checking and inspection history database with the mutual-authentication item label after receiving the first query request, returns the result to the doctor workstation, and simultaneously caches the checking and inspection history data in the matched patient time-of-mutual-authentication period in the database to the memory to accelerate the second query speed;
s73', the doctor workstation receives the first query result, if the patient does not do the mutual-recognition item within the mutual-recognition time period, the repeated examination and the inspection reminding are not triggered, and if the patient does the mutual-recognition item within the mutual-recognition time period, the second query is triggered;
s74', when the doctor finishes checking and checking the items and clicks to save, if the first inquiry result is that the patient has done the mutual authentication item within the mutual authentication period, the second inquiry is triggered, the doctor workstation carries the patient identity information and the checking and checking item information to send the second inquiry request to the repeated checking and checking intelligent reminding engine;
s75', after the repeated checking and inspection intelligent reminding engine receives the second query request, mapping the received checking and inspection item information through the mapping rule, and outputting a mapping result;
s76', when the mapping result is the corresponding regional medical examination and inspection mutual-confirmation project, the repeated examination and inspection intelligent reminding engine matches the examination and inspection historical data in the patient mutual-confirmation time-validity period in the cache with the standard project name, the unique code and the received patient identity information corresponding to the project, and returns the result to the doctor workstation;
s77', if the matching is successful, the doctor workstation pops up the window to remind, the doctor can check the historical examination and inspection data of the patient, and decide whether to cancel the repeated examination and inspection project application according to the actual situation.
9. The intelligent prompting and supervising method for medical repeated inspection and inspection in area as claimed in claim 8, wherein said repeated inspection and inspection monitoring engine periodically monitors said inspection and inspection history database with mutual identification item tags and reports the monitoring results to the regional health and wellness management agency comprising the steps of:
s81, repeating the examination, examination and monitoring engine, and matching the patient identity information and the mutual identification item label corresponding to each newly added data in the examination and examination historical database with the mutual identification item label with the patient identity information and the mutual identification item label corresponding to all data in the mutual identification time period in the database one by one in a specified time interval;
and S82, reporting the successfully matched data to a regional health management organization for directional supervision.
10. An intelligent prompting and supervising system for medical repeated examination and inspection in an area, which is used for realizing the intelligent prompting and supervising method for medical repeated examination and inspection in the area as claimed in any one of claims 1 to 9, and is characterized in that the system comprises the following components:
the doctor workstation (1) is an information system which is used for medical institutions to help clinicians to standardize and efficiently finish writing and maintaining daily prescriptions and medical records;
the repeated checking and inspection intelligent reminding engine (2) is used for automatically mapping new data, matching the new data with checking with mutual-recognition project labels, historical checking in an inspection historical database and inspection data, and carrying out intelligent reminding if the matching is successful;
a repeated inspection and inspection monitoring engine (3) for monitoring an inspection and inspection historical database with mutual-recognition item labels, identifying highly suspected repeated inspection and inspection data and reporting the monitoring result to a regional health management organization;
the basic databases of the repeated inspection and inspection intelligent reminding engine (2) and the repeated inspection and inspection monitoring engine (3) are inspection and inspection historical databases with mutual recognition project labels.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115905319A (en) * | 2022-11-16 | 2023-04-04 | 国网山东省电力公司营销服务中心(计量中心) | Automatic identification method and system for abnormal electricity charges of massive users |
| CN117393096A (en) * | 2023-10-27 | 2024-01-12 | 中世康恺科技有限公司 | Inspection and inspection mutual recognition system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115905319A (en) * | 2022-11-16 | 2023-04-04 | 国网山东省电力公司营销服务中心(计量中心) | Automatic identification method and system for abnormal electricity charges of massive users |
| CN115905319B (en) * | 2022-11-16 | 2024-04-19 | 国网山东省电力公司营销服务中心(计量中心) | Automatic identification method and system for abnormal electricity fees of massive users |
| CN117393096A (en) * | 2023-10-27 | 2024-01-12 | 中世康恺科技有限公司 | Inspection and inspection mutual recognition system |
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