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Findings from the 2019 International Medical Informatics Association Yearbook Section on Health Information
Meryl Bloomrosen1, Eta S Berner2,
1Premier healthcare alliance, Washington, DC, USA.
This review highlights 2018 research in Health Information Management (HIM) and Health Informatics, focusing on artificial intelligence (AI) applications like de-identification and automated coding. It calls for greater collaboration between HIM practitioners and AI researchers.
Area of Science:
- Health Informatics
- Health Information Management
- Artificial Intelligence in Healthcare
Background:
- The International Medical Informatics Association (IMIA) Yearbook's 2019 edition focused on artificial intelligence (AI).
- Identifying key research in Health Information Management (HIM) and Health Informatics is crucial for advancing the field.
Purpose of the Study:
- To summarize and select the best 2018 publications in Health Information Management (HIM) and Health Informatics.
- To highlight papers relevant to the special theme of AI in healthcare.
Main Methods:
- A systematic literature review was conducted by HIM section editors of the IMIA Yearbook.
- Searched bibliographic databases for HIM-related papers with an AI focus using MeSH descriptors and keywords.
- A shortlist of 15 papers was peer-reviewed by external reviewers.
Main Results:
- Few papers had explicit HIM MeSH headings, despite relevance to HIM practice.
- Identified AI applications in HIM include machine learning for de-identification, automated coding, and natural language processing for data extraction.
- Selected papers focused on AI's role in identifying protected health information, translating free-text to codes, and populating registries.
Conclusions:
- Selected papers demonstrate AI's relevance to HIM, particularly in areas like de-identification and automated coding.
- Recommends increased involvement of HIM practitioners in research.
- Encourages AI researchers to recognize the applicability of their work to HIM.
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