Method and system for detecting health medical data quality based on SDK rule engine
A technology of medical data and rules, which is applied in the field of health and medical data quality inspection, can solve problems such as complex data processing requirements, and achieve the effect of improving versatility
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Embodiment 1
[0050] as attached figure 1 As shown, the method for detecting the quality of health and medical data based on the SDK rule engine of the present invention is to collect medical and health big data and upload it to the medical and health big data platform, and build the SDK development kit in the medical and health big data processing system , the user develops the basic rules by himself through the SDK development kit, and the SDK rule engine parses and executes them to meet the data processing requirements in complex scenarios; the details are as follows:
[0051] S1. Define the quality dimension: the medical and health big data processing system provides four dimensions of completeness, accuracy, relevance and redundancy by default, and users can customize the quality dimension according to their needs;
[0052] S2. Create basic rules based on the SDK development kit: define different basic rules according to different dimensions, that is, each basic rule is bound to a qual...
Embodiment 2
[0079] The system for performing health care data quality detection based on the SDK rule engine of the present invention, the system includes,
[0080] The quality dimension definition module is used for user-defined quality dimensions; among them, the medical and health big data processing system provides four dimensions of completeness, accuracy, relevance and redundancy by default;
[0081] The basic rule creation module is used to define different basic rules according to the SDK development kit and different dimensions, that is, each basic rule is bound to a quality dimension;
[0082] Business rule creation module, which is used to bind basic rules with relational or non-relational data sources to form business rules;
[0083] The detection task creation module is used to package and combine different business rules into a detection task according to the business scenario, and find out the data quality problems existing in the data source;
[0084] The detection report...
Embodiment 3
[0086] Take the usage of health and medical data quality in XXX city as an example:
[0087] (1) Situation introduction:
[0088] (1) At present, in the medical big data platform of XXX City, the data quality control system is adopted to monitor, manage and improve the medical data governance; the main scenarios are as follows:
[0089] ①. When the data is collected to the post source library, data quality control is carried out to understand the characteristics of the data, and monitor data interruptions, etc.;
[0090] ②. When the data is standardized to the normalized database, data quality control is carried out to eliminate unqualified data;
[0091] ③. When the data is opened to the theme database, perform data quality control, such as: monitoring of data filtering, desensitization, etc.;
[0092] (2) Scenarios for data collection
[0093] Carry out timeliness, completeness, and collection and monitoring of the paste source library; for example, monitoring of indicato...
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