Healthcare Simulation, Artificial Intelligence and Interprofessional Collaboration
A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Artificial Intelligence in Medicine".
Deadline for manuscript submissions: 30 May 2025 | Viewed by 127
Special Issue Editors
Interests: critical care; clinical simulation; wearable devices; artificial Intelligence; holistic nursing; spirituality
Interests: pain; perception; pain management; education
Special Issues, Collections and Topics in MDPI journals
Interests: pain education; community pain services; pain research
Interests: health promotion; psychophysiology; positive psychology
Interests: qualitative health research; patient engagement; patient centered medicine; psychoncology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapidly evolving landscape of health and social care demands innovative approaches to education, training, and clinical practise. Integrating artificial intelligence with simulation-based training offers a promising pathway to improve interprofessional collaboration among health and social care services providers. This Special Issue will cover various aspects including the development and application of AI tools in simulations, the effectiveness of simulation techniques in fostering teamwork, and case studies illustrating successful interprofessional collaborations driven by AI and simulation in improving patients’ outcomes. We invite empirical research, systematic reviews, and innovative case studies that address these themes.
This Special Issue seeks to explore the convergence of simulation, artificial intelligence (AI), and interprofessional collaboration to enhance patient care, health, and social care outcomes. It aims to bring together multidisciplinary research that demonstrates how AI-driven simulations can support the training and collaboration of diverse healthcare teams. Contributions may include studies on AI algorithms for simulation training, case studies on simulation in interprofessional education, and analyses of AI's role in facilitating teamwork in clinical settings. These contributions are aimed at advancing patient care and optimizing healthcare services.
We look forward to receiving insightful contributions.
Dr. Antonio Bonacaro
Prof. Dr. Mark I. Johnson
Dr. Kate Thompson
Dr. Manos Georgiadis
Dr. Serena Barello
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. Healthcare is an international peer-reviewed open access semimonthly 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 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
- simulation
- artificial intelligence
- interprofessional collaboration
- patient outcomes
- education
- social care
- healthcare
- nursing
- psychology
- social work
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