Aim & Scope

Aim

Digital Health and Medical Intelligence provides a peer-reviewed venue for digital health and medical intelligence. The journal is intended for digital health researchers, clinicians working with data systems, medical informaticians, and evaluation scientists. Its editorial goal is to publish articles that make the research question, method, evidence, and limitations visible enough for readers to evaluate and reuse.

Core Scope

The journal considers manuscripts in the following areas:

  • Original studies in digital health with transparent assumptions and evaluable evidence.
  • Research on medical AI that explains methods, data, and interpretation limits.
  • Applied work involving health informatics where practical relevance is supported by analysis rather than assertion.
  • Interdisciplinary work connecting clinical decision support to adjacent scientific, engineering, health, environmental, social, or policy questions.

Article Types Considered

The journal may consider validation studies, implementation reports, clinical AI studies, health informatics papers, usability studies, and reviews. Article type should be selected according to the main contribution, not according to desired length or perceived prestige.

Method and Evidence Expectations

For this field, manuscripts should pay particular attention to:

  • clinical workflow context
  • dataset representativeness
  • validation design
  • human factors
  • risk and bias assessment

Out of Scope

The journal does not consider manuscripts that are purely promotional, lack a research question, duplicate previously published work, make unsupported clinical or policy claims, present unverifiable results, or fall outside digital health and medical intelligence. Manuscripts that are technically sound but do not fit the journal's subject identity may be returned before peer review.

Editorial Standard

The journal does not require spectacular novelty. It requires a clear contribution, appropriate citations, transparent methods, relevant ethical approvals where needed, and a limitations section. Reviewers and editors should ask whether the work is trustworthy and useful for its intended readership.