Health Data as a Global Good: Best Practices, Challenges and Future Perspectives
A Special Issue of Healthcare (ISSN 2227-9032).
Deadline for manuscript submissions: 28 January 2027 | Viewed by 1513
Editors
Interests: global health; health economics; aging; developing countries
Special Issues, Collections and Topics in MDPI journals
Interests: nutrition and public health; food security; malnutrition; epidemiological surveillance; health data monitoring system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In an era of rapid global transformation, health data play a crucial role in enhancing patient care, optimizing healthcare delivery, and informing decision-making processes. By providing valuable insights into population health needs, it enables targeted interventions, thereby strengthening healthcare systems. However, health data collection remains fragmented across the globe, often failing to capture the diverse needs of different populations. While some regions continue to rely on paper-based systems, others have adopted digital health information systems that lack integration, exacerbating existing health inequities.
This Special Issue aims to advance evidence-based practices and interdisciplinary research by exploring health data as a global good for improving healthcare delivery. It highlights the best practices for integrating and applying health data across diverse settings and populations, examines challenges in epidemiological surveillance and data governance, and discusses how digital health solutions can enhance health data collection to improve patient care and public health outcomes. Reliable, accurate, and timely health data collection is essential to support informed policy decisions, advance health equity, and contribute to the achievement of universal health coverage. This Special Issue seeks to bridge the gap between theory and practice by providing a platform for case studies, real-world challenges, and innovative solutions that can shape the future of healthcare delivery. Researchers and practitioners are invited to contribute high-quality research focused on the practical applications of health data to improve healthcare outcomes.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Health data;
- Monitoring systems;
- Epidemiological surveillance;
- Data governance;
- Public health strategies;
- Digital health.
We look forward to receiving your contributions.
Dr. Stefano Orlando
Guest Editor
Dr. Stefania Moramarco
Guest Editor Assistant
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized 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
- health data
- data collection
- epidemiological surveillance
- data monitoring
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