Traceable diagnosis and treatment data processing method and system

Abstract

The invention provides a traceable diagnosis and treatment data processing method and system. The method comprises a step of intelligent original diagnosis and treatment data processing in which the original diagnosis and treatment data are processed by a standard data template to obtain screened diagnosis and treatment data and corresponding metadata are generated, a step of intelligent and manual data input in which manual input is carried out on unrecorded and / or un-acquired data in the original diagnosis and treatment data to obtain supplementary data and corresponding metadata are generated, a step of three-level auditing and supervision correction in which three-level auditing and supervision are carried out on the screened diagnosis and treatment data and the supplementary data, questioned data are corrected and corresponding metadata are updated, and a step of data freezing and encryption in which the screened diagnosis and treatment data and the supplementary data after three-level auditing and supervision correction and the updated corresponding metadata are frozen and are subjected to encryption and storage. Thus, while clinical diagnosis and treatment data achieve the clinical research data integrity under industry consensus, authenticity, integrity, traceability and non-modifiability of the data are ensured.

Description

technical field [0001] The present application relates to the technical field of medical data processing, in particular to a traceable medical data processing method and system. Background technique [0002] In recent years, with the increase of hospital scientific research tasks and requirements, the accuracy and efficiency of scientific research data acquisition have become higher and higher. The traditional manual or semi-manual way of obtaining scientific research data can no longer meet the requirements. Therefore, to solve the problem of scientific research data in hospitals , has become an important task for hospital IT personnel. The traditional method is "go to the information department or statistics office to screen the list of qualified patients through data query tools, query medical records or electronic medical records, enter the qualified data into the database, and finally analyze the database." The downside of this approach is inefficient data collection a...

AI Technical Summary

Problems solved by technology

First, the data of the hospital must be entered manually, and it is very difficult to automatically read the data

Second, the quality of manually entered data is difficult to control, and the coordination between hospitals takes a lot of work

[0008] 2. There is noise or false data in the data in the original clinical information system. When the value of the same data in different information systems is different, it needs to be manually checked and confirmed.

[0009] 3. After the original clinical data is digitized, even after manual supplementation and verification, before the industry-standard manual or administrative review process, there may be errors or false data due to personal subjective or objective reasons, and it still cannot be obtained. as clinical research data

[0010] 4. The original diagnosis and treatment data collection methods that are inefficient, untraceable, prevalent, and unevaluable require efficient, standard, and traceable data collection tools

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