Automatisation of Radiological Data Extraction Process From Medical Data System Datamed: Opportunities for Scientific Reasons

Activity: Talk or presentation types › Poster presentation

Description

Develop methodology to automate and accelerate the download process of a large data volume from the medical data system DataMed for scientific reasons, as the current widely used workflow is utterly unoptimized, requiring the operator to perform multiple actions manually ultimately rendering the whole process extremely time consuming and prone to the human factor.. The work is based on different open-source components, which are widely available on the Internet: UI.Vision RPA extension for Chromium based web browsers; PeaZip for manipulation with archives from the DataMed system.. The methodology provides benefits in terms of automating the workflow and potentially optimizing time necessary to perform data extraction from the local database system into six stages. At the first stage, the connection to the DataMed server is being established using medical personnel credentials. Second stage: allocation of the data inside the database by importing necessary information for particular subject data allocation from the provided table (the Microsoft Excel software can be used to prepare such a table). The third stage requires a predefined examination type (polytrauma, abdominal, etc.) for the extension to be able to automatically select the desired examination which can be also set up inside the software. The fourth stage is dedicated to the download process of the data in the form of an archive. Then all stages starting from the second one and until the fifth one are being cyclically repeated till the end of the list in the provided table from the second stage. The last sixth step is dedicated to the data extraction from the downloaded archives.. The proposed methodology eases, automatizes the download and post-cleaning process of radiological data from the DataMed database. The exclusion of the human factor makes the data acquisition process more reliable and straightforward, as well as preserves a tremendous amount of time.
Period29 Mar 2023
Event title9th International Multidisciplinary Research Conference: "Society. Health. Welfare."
Event typeConference
Conference number9
OrganiserRiga Stradins University
LocationRiga, LatviaShow on map
Degree of RecognitionInternational

Field of Science

  • 1.2 Computer and information sciences

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