We invite contributions that build and evaluate artifacts—algorithms, workflows, platforms, service blueprints—anchored in the problem relevance–rigor–design cycle. We encourage studies that report time-to-value, equity impact, safety, interoperability, and scalability (from pilot to population), along with policy, procurement, and reimbursement enablers.
This is how innovation happens, and sharing it around the globe brings us closer to better health outcomes and a world where digital health fulfills its promise of accessible, affordable, quality care for all. Expect THMT to actively solicit research addressing:
Technology Convergence: How does AI create entirely new models of care delivery? What are the implementation frameworks
health systems need?
Global Scalability: What lessons from Ireland's national digital health transformation apply to Brazil? Australia? India? How do we accelerate knowledge transfer across borders?
Economic Sustainability: Which digital health investments deliver ROI vs. which ones waste capital? What are the predictive indicators for
time-to-value?
Regulatory Futures: What regulatory frameworks will govern AI diagnostics, algorithmic clinical decision support, and autonomous virtual care?
Equity and Access: How do we prevent digital health innovation from widening healthcare disparities? What are the proven models for equitable deployment at scale?
Workforce Transformation: How do we prepare clinicians for AI augmented practice? What training frameworks actually work from pilot to population?
Infrastructure and Interoperability: What technical architectures enable seamless data exchange while protecting patient sovereignty? How do procurement and reimbursement models need to evolve?
What This Means for Authors
Submit research that demonstrates:
- Artifacts that work: Algorithms, platforms, workflows tested in real clinical environments
- Measurable impact: Time-to-value, equity outcomes, safety metrics, scalability
evidence
- Implementation readiness: Policy considerations, procurement strategies, reimbursement models
- Rigorous design cycles: Problem identification → solution design → evaluation → iteration
THMT editorial leadership understands the urgency of the bridge between academically
relevant and strategically essential - the difference between research that gets cited and research that gets implemented.
Our goal is to make Telehealth and Medicine Today the practical, peer reviewed engine for new theories of the health—with a research agenda that will define the next decade of healthcare transformation. The research published in THMT will influence those outcomes.
With leadership including John Halamka at Mayo Clinic Platform, Lyle Berkowitz building KeyCare's practical telehealth solutions, Suhail Chughtai advancing UK digital health policy, and now Martin Curley bringing national scale transformation expertise—THMT isn't just documenting healthcare's digital future - we'll accelerate designing it.
Welcome to the next
chapter.
Submit your work to:
https://telehealthandmedicinetoday.com/index.php/journal/about/submissions