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JPHACI · Open-access · Peer-reviewed · Published quarterly

Research where predictive analytics and clinical practice converge.

JPHACI publishes scholarship on predictive modelling, clinical data science, and health informatics, with rigorous double-blind peer review and a scope-first editorial process designed to give authors candid, timely decisions.

Submit Manuscript → Author Guidelines

Scope

Predictive modelling in healthcare

Risk, prognosis, and forecasting models built and validated on real clinical data.

Clinical data science

Methods for messy, longitudinal, multi-modal patient data.

Health informatics & interoperability

EHR data, standards, and pipelines that move evidence into care.

Model governance & decision support

Validation, fairness, monitoring, and safe deployment at the point of care.

Why publish with JPHACI?

  • Double-blind peer review with transparent editorial checks and reasoned decisions.
  • Open access from day one under CC BY 4.0, no paywalls, no embargo.
  • Scope-first triage: fast, candid early decisions.
  • Indexing-ready workflow: DOI, ORCID, and OAI-PMH from issue one.

ISSN (Online): pending · CC BY 4.0 · OAI-PMH enabled · Editorial contact: [email protected]