Advancing Health Practice and Education Through Digital Health and Artificial Intelligence

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Artificial Intelligence in Medicine".

Deadline for manuscript submissions: 30 November 2025 | Viewed by 111

Special Issue Editor


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Guest Editor
Pharmacy Administration and Public Health, College of Pharmacy and Health Sciences, St. John's University, Queens, NY 11439, USA
Interests: health economics; pharmacoeconomics; pharmacoepidemiology; public health; outcomes research; machine learning
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Special Issue Information

Dear Colleagues,

Digital health and artificial intelligence (AI) are revolutionizing healthcare and education, offering unprecedented opportunities to improve outcomes, enhance accessibility, and streamline processes. These technologies are transforming the delivery of care, enabling data-driven decision making, and empowering patients and providers. In the realm of education, AI-powered tools are personalizing learning experiences, fostering adaptive instruction, and equipping future healthcare professionals with the skills needed to navigate a technology-driven landscape.

This Special Issue aims to explore the critical role of digital health and AI in advancing health practice and education. By showcasing cutting-edge research, innovative applications, and real-world case studies, it seeks to highlight the transformative potential of these technologies while addressing challenges such as ethical considerations, data privacy, and accessibility.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: AI applications in clinical decision making and patient care; digital health tools for chronic disease management and prevention; integration of AI in health education and training programs; ethical implications and challenges of adopting AI in healthcare; innovations in telehealth and remote monitoring technologies; AI’s role in addressing health disparities and promoting equity; and the evaluation and implementation of digital health solutions in diverse settings.

We look forward to receiving your contributions.

Dr. Taehwan Park
Guest Editor

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

  • digital health
  • artificial intelligence
  • health practice
  • AI in medical training
  • clinical decision making
  • data-driven decision making

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Published Papers

This special issue is now open for submission.
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