Artificial Intelligence in Health Services Research and Organizations
A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Artificial Intelligence in Medicine".
Deadline for manuscript submissions: 27 February 2026 | Viewed by 74
Special Issue Editor
Interests: information and communication technologies for health; behaviour of individuals and health professionals; introduce innovation in practice and organization; synthesis, dissemination and application of knowledge; evaluation of health technologies and interventions; quantitative, qualitative and mixed methods
Special Issue Information
Dear Colleagues,
Artificial intelligence applications in healthcare have proliferated in recent years. However, AI also holds great promise for supporting health services research and the organization of care and services. Whether through the integration of automated knowledge synthesis tools, scribes for the automatic transcription of clinical notes, or support of clinical work, AI can facilitate research and decision making in the healthcare services sector. This Special Issue of Healthcare is an opportunity to explore the current state of knowledge on the benefits and limitations of AI applications in healthcare research and services. Contributive topics would include AI tools for automated data collection and analysis in knowledge synthesis, the impact of AI scribes on patients, providers, and organizations, AI tools to support integrated patient trajectories, and the impact of AI on clinical decision making.
Prof. Dr. Marie-Pierre Gagnon
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 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.
Keywords
- artificial intelligence
- electronic health record
- telemedicine
- disease diagnosis
- decision making
- mobile health
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