Aims & Scope

Aims

JMIDH aims to build a reliable evidence base for the use of information technology, data and artificial intelligence in health, by publishing research that is methodologically sound, reproducible, clinically meaningful and attentive to safety, privacy and equity.

Scope

JMIDH welcomes work in the following areas:

• Clinical and hospital information systems: electronic health and medical records, laboratory and radiology information systems, e-prescribing, and their implementation, usability and effect on care.

• Interoperability and standards: HL7 FHIR, SNOMED CT, LOINC, ICD, DICOM, health information exchange and national digital health architectures such as the Ayushman Bharat Digital Mission.

• Clinical decision support: rule-based and data-driven decision support, alerts, order sets and their evaluation, including alert fatigue.

• Artificial intelligence and machine learning in medicine: development, validation, deployment and monitoring of prediction models, medical imaging AI, natural language processing and large language models in clinical and research settings.

• Telemedicine and virtual care: teleconsultation, tele-ICU, remote patient monitoring and hospital-at-home.

• Mobile health, wearables and digital therapeutics: apps, sensors, digital biomarkers and software-based interventions.

• Health data science: analysis of real-world data, registries and claims data, federated learning, synthetic data and data quality.

• Public health informatics: digital disease surveillance, immunisation registries, health management information systems and outbreak analytics.

• Consumer and patient-facing informatics: patient portals, personal health records, health information seeking and digital health literacy.

• Human factors and usability: user-centred design, workflow, clinician burnout and technology acceptance.

• Privacy, security and governance: de-identification, consent models, cybersecurity of health systems, data protection law and ethics of health data use.

• Evaluation, implementation and policy: health technology assessment, cost-effectiveness, implementation science, regulation of software as a medical device, and digital health equity.

• Informatics education and workforce: training of clinicians and informaticians, and nursing and pharmacy informatics.

Article types

Original Research, AI and Prediction Model Studies, Randomised and Non-randomised Evaluations of Digital Interventions, Systematic and Scoping Reviews, Narrative Reviews, Implementation Reports, Software and Tool Papers, Data Descriptors, Short Communications, Study Protocols, Viewpoints, Editorials and Letters to the Editor. Definitions and word limits are given in the Author Instructions.

Out of scope

• Purely technical computer science work (for example, a new neural network architecture) that is not tested on health data or linked to a health problem.

• Descriptions of apps or systems with no evaluation or data.

• Individual patient case reports.

• Bioinformatics and genomics studies focused on biological discovery rather than information systems or clinical use.

Keywords