Real-time data acquisition method fused with medical scene

Abstract

The invention discloses a real-time data acquisition method fused with a medical scene. The method comprises the following steps: S1, defining data by an acquisition party: defining a data acquisition service node standard, a data acquisition query AP I standard and a historical data compensation AP I standard; s2, defining a corresponding numerical value of a trigger case according to a standard: providing a service node event trigger function according to a service node collection standard; s3, uploading an acquisition event: uploading the acquisition event to an acquisition party in real time when the source system has a service; s4, collecting real-time data; and S5, supplementing: supplementing by adopting a T + 1 compensation mechanism. Through the method, a medical service scene is deeply combined, and a data acquisition service node standard and a triggering mechanism, a data acquisition AP I query standard and an asynchronous real-time query mechanism, and a historical data compensation AP I standard and a T + 1 compensation mechanism are creatively used. Through a data acquisition service node standard and a triggering mechanism, the problem that data is not real-time in a traditional ETL acquisition mode is solved.

Description

Technical Field

[0001] The present invention relates to the field of electronic technology, and in particular to a real-time data collection method integrating medical scenarios. Background Art

[0002] Traditional data collection methods generally use ETL. ETL (Extract, Transform, Load) is a data processing technology used to extract data from the source system, convert it into the format required by the target system, and then load it into the target system. The problems with ETL are as follows:

[0003] 1. Poor real-time performance. ETL is usually processed in batches within a certain time interval, which cannot meet the requirements of scenarios with high real-time requirements.

[0004] 2. Data integrity cannot be guaranteed. During the ETL process, data loss and data inconsistency may occur due to various reasons, such as network interruption, hardware failure, data source format change, etc.

[0005] 3. ETL data collection cannot be combined with medical services and cannot obtain the nodes where medical services occur, which affects the real-time nature of the business.

[0006] Currently, there is no data collection method that can ensure the real-time and completeness of data collection while also being deeply integrated with actual medical business scenarios. Summary of the invention

[0007] The purpose of the present invention is to solve at least one of the technical problems existing in the prior art, provide a real-time data collection method integrating medical scenarios, deeply combine medical business scenarios, and innovatively use data collection business node standards and trigger mechanisms, data collection API query standards and asynchronous real-time query mechanisms, and historical data compensation API standards and T+1 compensation mechanisms. Through data collection business node standards and trigger mechanisms, the problem of non-real-time data in traditional ETL collection methods is solved.

[0008] The present invention also provides a real-time data collection method having the above-mentioned integrated medical scene, comprising the following steps:

[0009] S1. The data collector defines data: defines data collection business node standards, data collection query API standards, and historical data compensation API standards;

[0010] S2. According to the corresponding value of the trigger case defined in the standard: provide business node event triggering function according to the acquisition business node standard;

[0011] S3. Upload collection events: When business occurs in the source system, the collection events are uploaded to the collection party in real time;

[0012] S4. Collecting real-time data: After receiving the business node event triggered by the source system, the collector checks the data collection query API service provided by the source system in real time to obtain real-time data and store it in the database;

[0013] S5. Supplementation: The collector will query the source system historical data compensation API service at T+1, and compare the data returned by the source system API with the data in the collector's database, supplement the missing data in the collector's database, and delete the redundant data to ensure the integrity of the collected data.

[0014] According to a real-time data collection method for integrated medical scenarios provided by the present invention, the collector in S1 needs to define the collection service node standards of interest, provide data query API standards for corresponding service nodes, and return service data of corresponding nodes.

[0015] According to a real-time data collection method integrating medical scenarios provided by the present invention, the collection party in S4 will adopt an asynchronous processing method after receiving the business node event.

[0016] According to a real-time data collection method for integrating medical scenarios provided by the present invention, when a medical service occurs in S2, a corresponding medical event needs to be triggered. A data collection query API is provided according to the data collection API standard, and a historical data compensation API is provided according to the historical data compensation API standard.

[0017] Beneficial Effects

[0018] 1. The present invention deeply combines the medical business scenario, innovatively uses the data collection business node standard and trigger mechanism, data collection API query standard and asynchronous real-time query mechanism, historical data compensation API standard and T+1 compensation mechanism. Through the data collection business node standard and trigger mechanism, the problem of non-real-time data in the traditional ETL collection method is solved.

[0019] 2. The present invention deeply integrates business nodes, so that the collection party is able to provide more business functions based on business nodes, solving the problem that the collection party cannot be associated with the source system business. Through the historical data compensation API standard and T+1 compensation mechanism, and solving the problem that the data integrity of the traditional ETL collection method cannot be guaranteed, this method adopts the T+1 automatic compensation mechanism to ensure the final consistency and integrity of the collection party data and the source system data. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The present invention is further described below in conjunction with the accompanying drawings and embodiments;

[0021] Figure 1The present invention is a flow chart of a real-time data collection method integrating medical scenarios. DETAILED DESCRIPTION

[0022] This section will describe in detail the specific embodiments of the present invention. The preferred embodiments of the present invention are shown in the accompanying drawings. The purpose of the accompanying drawings is to supplement the description of the text part of the specification with graphics, so that people can intuitively and vividly understand each technical feature and the overall technical solution of the present invention, but it cannot be understood as a limitation on the scope of protection of the present invention.

[0023] Reference Figure 1 , an embodiment of the present invention provides a real-time data collection method integrating medical scenarios, which comprises the following steps:

[0024] S1. The data collector defines data: define the collection service node standards of interest, provide the data query API standards for the corresponding service nodes, and return the service data of the corresponding nodes. Define the historical data compensation API standards;

[0025] S2. Define the corresponding value of the trigger case according to the standard: Provide the business node event trigger function according to the acquisition business node standard. When a medical business occurs, the corresponding medical event needs to be triggered. Provide the data acquisition query API according to the data acquisition API standard, and provide the historical data compensation API according to the historical data compensation API standard;

[0026] S3. Upload collection events: When business occurs in the source system, the collection events are uploaded to the collection party in real time;

[0027] S4. Collecting real-time data: After receiving the business node event triggered by the source system, the collector will query the data collection query API service provided by the source system in real time to obtain real-time data and store it in the database. After receiving the business node event, the collector will use asynchronous processing to improve performance;

[0028] S5. Supplementation: The collector will query the source system historical data compensation API service at T+1, and compare the data returned by the source system API with the data in the collector's database, supplement the missing data in the collector's database, and delete the redundant data to ensure the integrity of the collected data.

[0029] The present invention includes data acquisition service node standards and triggering mechanisms, data acquisition API query standards and asynchronous real-time query mechanisms, historical data compensation API standards and T+1 compensation mechanisms.

[0030] The data collection business node standards and triggering mechanism are defined by the collection party, and when a medical service occurs, the source system triggers the business node event to the collection party.

[0031] The data collection API query standard and asynchronous real-time query mechanism, the data collection API query standard is defined by the collector, the source system is responsible for developing and implementing the corresponding data collection API query service, when the business occurs, the collector receives the business node event triggered by the source system and asynchronously calls the data collection API query service in real time to obtain the collected data.

[0032] The historical data compensation API standard and T+1 compensation mechanism are defined by the collector, and the source system is responsible for developing and implementing the corresponding historical data compensation API service. The collector will enable a scheduled task to call the historical data compensation API service at T+1 to obtain historical data, and compare the data returned by the source system API with the data in the collector's database, supplement the missing data in the collector's database, and delete the redundant data, so as to ensure the integrity of the collected data.

[0033] The embodiments of the present invention are described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Various changes can be made within the knowledge scope of ordinary technicians in the technical field without departing from the purpose of the present invention.

Claims

1. A real-time data collection method integrating medical scenarios, characterized in that: The following steps are involved: S1. The data collector defines data: defines data collection business node standards, data collection query API standards, and historical data compensation API standards; S2. According to the corresponding value of the trigger case defined in the standard: provide business node event triggering function according to the acquisition business node standard; S3. Upload collection events: When business occurs in the source system, the collection events are uploaded to the collection party in real time; S4. Collecting real-time data: After receiving the business node event triggered by the source system, the collector checks the data collection query API service provided by the source system in real time to obtain real-time data and store it in the database; S5. Supplementation: The collector will query the source system historical data compensation API service at T+1, and compare the data returned by the source system API with the data in the collector's database, supplement the missing data in the collector's database, and delete the redundant data to ensure the integrity of the collected data.

2. The real-time data collection method for integrating medical scenarios according to claim 1 is characterized in that: In S1, the collector needs to define the collection service node standards of interest, and provide data query API standards for corresponding service nodes, and return service data of corresponding nodes.

3. The real-time data collection method for integrating medical scenarios according to claim 1 is characterized in that: In S4, the collector will adopt an asynchronous processing method after receiving the business node event.

4. The real-time data collection method for integrating medical scenarios according to claim 1 is characterized in that: When a medical service occurs in S2, a corresponding medical event needs to be triggered. It also provides a data collection query API based on the data collection API standard, and provides a historical data compensation API based on the historical data compensation API standard.

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