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 313

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 (1 paper)

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Research

11 pages, 203 KiB  
Article
Integrating AI in Healthcare Education: Attitudes of Pharmacy Students at King Khalid University Towards Using ChatGPT in Clinical Decision-Making
by Rajalakshimi Vasudevan, Taha Alqahtani, Saud Alqahtani, Praveen Devanandan, Geetha Kandasamy, Reema Saad, Asayel Amer, Raghad Abduallah, Ghada Waleed, Rahaf Hasan and Lamis Ahmed
Healthcare 2025, 13(11), 1265; https://doi.org/10.3390/healthcare13111265 - 27 May 2025
Viewed by 144
Abstract
Background: Artificial Intelligence (AI) is transforming healthcare education, offering innovative tools to enhance learning and clinical decision-making. AI-driven platforms like ChatGPT are increasingly integrated into pharmacy education, enabling students to access vast medical knowledge, refine decision-making skills, and simulate clinical scenarios. Objective: This [...] Read more.
Background: Artificial Intelligence (AI) is transforming healthcare education, offering innovative tools to enhance learning and clinical decision-making. AI-driven platforms like ChatGPT are increasingly integrated into pharmacy education, enabling students to access vast medical knowledge, refine decision-making skills, and simulate clinical scenarios. Objective: This study examines pharmacy students’ attitudes, knowledge, and practices regarding ChatGPT’s use in clinical decision-making, evaluates its perceived benefits and limitations, and identifies factors influencing AI integration in pharmacy education. Methodology: A cross-sectional study was conducted among 512 pharmacy students at King Khalid University. A structured questionnaire assessed demographics, knowledge, attitudes, and practices. Data were analyzed using SPSS, employing descriptive statistics, chi-square tests, and logistic regression. Results: The majority (82.4%) supported AI integration in pharmacy education, while 74.6% believed that ChatGPT could enhance clinical decision-making. Primary applications included drug information retrieval (72.3%) and exam preparation (66.7%). However, concerns about AI accuracy (55.2%) and ethical implications were noted. Conclusions: Pharmacy students at King Khalid University exhibit positive attitudes toward AI, recognizing its educational benefits while acknowledging challenges. Addressing accuracy concerns and ethical considerations through structured AI training programs is essential to optimize AI’s role in pharmacy education and practice. Full article
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