Medical data quality checking method and device, terminal and storage medium
A technology for medical data and data quality, applied in database indexing, relational databases, database models, etc., can solve problems such as low accuracy of data quality verification results and easy omission of data
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[0020] As mentioned above, when the data of various medical institutions are processed according to the set specifications, data quality problems are prone to occur. There are many factors for data quality problems, mainly from data production, extraction, transformation and other processes. In these processes, data may not be identifiable, data cannot be matched, data redundancy and duplication, data inconsistency, insufficient accuracy, and timeliness may occur. These problems can easily lead to difficulties in data processing, increased management costs, untrustworthy data, and data depreciation. The specific scenarios of data quality problems are as follows: due to the migration of old and new production databases or system database upgrades, a large amount of data is missing and the structure is inconsistent; due to the unreasonable design of the production system form, the operator rarely records, or even does not record some key Data, such as the absence of emergency co...
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