image: JMIR Publications invites submissions to a new theme issue titled “Navigating AI-Enabled Uncertainty – Strategic Implications for Digital Health Management” in its open access journal Journal of Medical Internet Research
Credit: JMIR Publications Source: Alexander Sikov
(Toronto, October 22, 2025) JMIR Publications invites submissions to a new theme issue titled “Navigating AI-Enabled Uncertainty – Strategic Implications for Digital Health Management” in its open access journal Journal of Medical Internet Research. The premier, peer-reviewed journal is indexed in in all major literature indices including National Library of Medicine(NLM)/MEDLINE, PubMed, PMC, Scopus, DOAJ, Clarivate (which includes Web of Science (WoS)/ESCI/SCIE), and others.
Health care administrators are increasingly facing ambiguous decisions as artificial intelligence (AI) permeates reimbursement, documentation, workforce planning, and vendor ecosystems. Recent reports show that major insurers use predictive technologies to deny post–acute care authorization, raising concerns that AI is substituting clinical judgment with financial calculations [1]. Hospitals migrating electronic health records to public clouds report gains in scalability and reliability but admit that internal cloud expertise is lacking; 75% of organizations rely on third-party consultants during planning and migration [2]. The ambient clinical-documentation market is racing toward commoditization; analysts warn that large incumbents such as Epic and Microsoft control much of the health care infrastructure, making it difficult for niche AI start-ups to thrive [3].
These shifts demand new governance frameworks and leadership strategies. A recent scoping review in the Journal of Medical Internet Research found that successful AI transformation requires multidimensional leadership that balances technological opportunities with stakeholder needs and adapts to evolving regulatory and organizational contexts [4]. Building on these insights, this call for papers will collect empirical evidence and case-based perspectives that together illuminate how health care executives can navigate AI-enabled uncertainty. Submissions should emphasize practical, data-driven guidance for senior management and administrators, illustrating how digital tools contribute to value-based and equitable care. Accepted papers will form part of a coordinated “bundle” culminating in an integrative summary article.
Papers submitted to the theme issue for consideration may explore, but are not limited to, the following topics:
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AI-Enabled Reimbursement and Financial Uncertainty
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Cloud Migration and Talent Realignment in Health Care IT
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Vendor Dynamics in AI-Enabled Health Care
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Strategic Decision-Making Under AI-Related Uncertainty
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Learning Health Systems in the AI Era
To learn more please visit the website.
About JMIR Publications
JMIR Publications is a leading open access publisher of digital health research and a champion of open science. With a focus on author advocacy and research amplification, JMIR Publications partners with researchers to advance their careers and maximize the impact of their work. As a technology organization with publishing at its core, we provide innovative tools and resources that go beyond traditional publishing, supporting researchers at every step of the dissemination process. Our portfolio features a range of peer-reviewed journals, including the renowned Journal of Medical Internet Research.
References
1. Shaw M. Insurers’ AI denials of postacute care face senate scrutiny. AJMC. Oct 28, 2024. URL: https://www.ajmc.com/view/insurers-ai-denials-of-postacute-care-face-senate-scrutiny [Accessed 2025-10-16]
2. Dyrda L. Amazon vs. Microsoft cloud with Epic: 6 notes. Becker’s Hospital Review. Nov 8, 2024.URL: https://www.beckershospitalreview.com/healthcare-informationtechnology/ehrs/amazon-vs-microsoft-cloud-with-epic-6-notes/ [Accessed 2025-10-16]
3. D’Amico LC. Beyond documentation: building platform moats in healthcare AI. MedCity News. March 13, 2025. URL: https://medcitynews.com/2025/03/beyond-documentation-building-platform-moats-in-healthcare-ai/ [Accessed 2025-10-16]
4. Sriharan A, Sekercioglu N, Mitchell C, et al. Leadership for AI transformation in health care organization: scoping review. J Med Internet Res. Aug 14, 2024;26:e54556. [doi: 10.2196/54556] [Medline: 39009038]