Health Data Management in the Age of AI
A special issue of Informatics (ISSN 2227-9709).
Deadline for manuscript submissions: 30 May 2026 | Viewed by 30
Special Issue Editors
Interests: process mining; enterprise systems; business analytics; data management (particularly in a health context)
Interests: information systems; society 5.0; digital transformation; big data management; artificial intelligence; knowledge management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Proper management of health data in the era of artificial intelligence (AI) has the potential to enable more accurate, timely, and personalised healthcare. It can ensure the quality, privacy and security of sensitive healthcare information and facilitate the intelligent analysis of large datasets using AI technologies. This can improve decision-making, diagnosis accuracy, treatment planning, and the prevention of non-communicable diseases (NCDs), resulting in more efficient healthcare delivery, improved patient outcomes, and greater advances in medical research. However, as AI proliferates in healthcare and shapes how health data is managed, new challenges emerge, including ethical and legal concerns, privacy and consent considerations, algorithmic bias, and data quality and interoperability.
With the aim to expand the literature on health data management by exploring the opportunities and critical questions raised by AI, we invite original research articles and review papers from scholars conducting research on recent developments in data management solutions for healthcare, particularly in the era of AI.
Topics of interest include, but are not limited to, the following:
- Smart health data monitoring and analysis;
- AI applications for health data management;
- Wearables and AI in health data ecosystems;
- Smart/intelligent coaches for personal activity monitoring;
- Digital twins and data-driven modelling in healthcare;
- Governance, ethics, and trust in AI-based health data management;
- Challenges and opportunities in managing health data in the age of AI;
- Sensor-based technologies and AI for health monitoring.
Prof. Dr. Brenda Scholtz
Dr. Hanlie Smuts
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Informatics is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
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