Call for Papers: AI-Enabled Uncertainty - Strategic Implications for Digital Health Management
The Journal of Medical Internet Research (JMIR), a premier open access journal from JMIR Publications, is opening a theme issue focused on AI-enabled uncertainty in digital health management. The journal is peer reviewed and indexed in NLM/MEDLINE, PubMed, PMC, Scopus, DOAJ, and Clarivate indexes (WoS/ESCI/SCIE).
The goal: assemble empirical studies and case-based perspectives that give senior leaders clear, data-backed guidance. Accepted papers will be published as a coordinated bundle with an integrative summary article.
Why this theme matters
AI is now embedded in reimbursement, documentation, workforce planning, and the vendor stack. Major payers have used predictive systems to deny post-acute care authorization, sparking concern that financial models are crowding out clinical judgment. See coverage in AJMC: Insurers' AI denials of postacute care.
Hospitals moving EHRs to public clouds report gains in reliability and scale, but many teams lack internal cloud expertise and lean on external consultants. The ambient documentation market is compressing as incumbents with deep infrastructure ties make it harder for niche tools to gain traction. Leaders need governance and operating models that stand up to financial, clinical, and regulatory scrutiny.
Evidence points to multidimensional leadership-balancing technology opportunities with stakeholder needs and shifting policy contexts-as a success factor. For a recent scoping review, see JMIR: Leadership for AI transformation in health care organizations.
What JMIR is seeking
- Empirical studies with clear methods, outcomes, and limitations
- Case reports from health systems, payers, and vendors with actionable takeaways for management
- Frameworks, decision tools, and implementation playbooks tested in real settings
- Analyses that connect digital tools to value-based and equitable care
Suggested topics
- AI-Enabled Reimbursement and Financial Uncertainty
- Cloud Migration and Talent Realignment in Health Care IT
- Vendor Dynamics in AI-Enabled Health Care
- Strategic Decision-Making Under AI-Related Uncertainty
- Learning Health Systems in the AI Era
What strong submissions include
- Clear problem framing tied to operational or clinical value
- Transparent methodology, datasets, governance, and risk controls
- Outcome measures beyond accuracy: cost, throughput, LOS, equity, safety, user burden
- Bias and fairness assessments with mitigation steps
- Org design: roles, skills, and change management (including build-buy-partner choices)
- Compliance posture across PHI handling, cloud contracts, and auditability
- Practical artifacts: checklists, KPIs, dashboards, and reproducible code or protocols where feasible
Who should submit
- Health services researchers, clinical informaticians, implementation scientists
- Quality, operations, and finance leaders with data to share
- Policy analysts and legal teams studying AI oversight
- Vendors and payer-provider collaborators with validated outcomes
How to participate
Prepare a manuscript with rigorous methods and management-ready insights. To learn more please visit the website of the Journal of Medical Internet Research for submission guidelines and timelines.
If your team is building skills for AI governance, data quality, or prompt engineering, explore curated programs by role: AI courses by job.
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, JMIR provides tools and resources that go beyond traditional publishing, supporting researchers at every step of the dissemination process. The portfolio features a range of peer-reviewed journals, including the renowned Journal of Medical Internet Research.
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