Aim and Scope
Comprehensive coverage of clinical informatics and decision science research, from foundational methods to real-world implementation and clinical validation.
Advancing Informatics for Better Healthcare
The Journal of Medical Informatics and Decision Making publishes original research, systematic reviews, and implementation studies that advance the science of clinical informatics and its application to healthcare delivery. We prioritize research with demonstrable clinical relevance that bridges informatics innovation with improved patient outcomes and healthcare system performance.
JMID aims to advance the field of clinical informatics by publishing high-quality, peer-reviewed research that contributes to the development, validation, and implementation of informatics tools and methods in healthcare settings. We seek to bridge the gap between technical innovation and clinical application, promoting research that has direct relevance to patient care, clinical workflows, and healthcare decision making.
Our goal is to foster interdisciplinary collaboration among informaticists, clinicians, data scientists, and healthcare IT professionals. By maintaining rigorous scientific standards while ensuring open access dissemination, JMID supports the global informatics community in its mission to improve healthcare through information technology and decision science.
JMID considers manuscripts addressing the following core areas of medical informatics and clinical decision science. We welcome submissions that demonstrate both methodological innovation and clinical applicability:
Electronic Health Records
- EHR implementation and optimization
- Clinical documentation improvement
- Data quality assessment and enhancement
- Secondary use of clinical data
- Physician and nurse informatics workflows
Clinical Decision Support
- CDS design and evaluation
- Alert optimization and fatigue reduction
- Diagnostic decision support
- Treatment recommendation systems
- Shared decision making tools
Health Data Analytics
- Predictive modeling for clinical outcomes
- Risk stratification algorithms
- Population health analytics
- Healthcare quality measurement
- Comparative effectiveness research
Interoperability & Standards
- HL7 FHIR implementation
- Health information exchange
- Terminology services (SNOMED, LOINC)
- Data governance frameworks
- API-based integrations
Beyond the core areas above, JMID also welcomes research in the following emerging and specialized domains:
- Clinical Natural Language Processing: Information extraction from clinical text, named entity recognition, relationship extraction, document classification, and de-identification methods
- Imaging Informatics: Radiology AI, pathology informatics, medical image analysis, PACS integration, and imaging workflow optimization
- Artificial Intelligence: Machine learning applications for diagnosis, prognosis, treatment selection, and operational efficiency in healthcare
- Patient Engagement Technology: Patient portals, mobile health applications, remote monitoring, telehealth systems, and consumer health informatics
- Implementation Science: Studies examining the implementation, adoption, sustainability, and scaling of informatics interventions
- Privacy and Security: Healthcare data protection, access control, audit systems, and compliance with privacy regulations
JMID publishes a variety of article types to accommodate different research contributions:
- Original Research: Empirical studies presenting novel findings from informatics research, including system development, validation, and clinical evaluation studies
- Systematic Reviews: Rigorous evidence syntheses following PRISMA guidelines that address clinically relevant informatics questions
- Implementation Studies: Reports on the deployment, evaluation, and lessons learned from informatics implementations in clinical settings
- Methods Papers: Articles describing novel informatics methods, algorithms, or frameworks with potential for broad application
- Case Studies: Detailed descriptions of informatics projects that provide valuable lessons for the field
- Short Communications: Brief reports of noteworthy preliminary findings or innovative applications
Priority Research Topics
JMID particularly encourages submissions addressing high-impact informatics challenges including: reducing clinician burden through intelligent automation, improving diagnostic accuracy with decision support, enhancing interoperability across health systems, leveraging AI/ML for clinical prediction, addressing health equity through informatics, and evaluating real-world effectiveness of informatics interventions.
When evaluating submissions, JMID editors and reviewers consider:
- Clinical Relevance: Does the research address a meaningful problem in healthcare delivery or clinical practice?
- Methodological Rigor: Are methods appropriate, clearly described, and executed with scientific integrity?
- Innovation: Does the work advance the state of the art in informatics methods or applications?
- Reproducibility: Are methods described in sufficient detail for others to replicate or build upon?
- Practical Impact: Can the findings be translated into improved clinical workflows or patient outcomes?
JMID recognizes that many of today's most pressing healthcare informatics challenges require interdisciplinary approaches that bridge traditional boundaries. We particularly welcome submissions that integrate perspectives from multiple domains—such as research combining clinical medicine with computer science, studies linking machine learning methods with clinical outcomes, or work that addresses the intersection of health IT with organizational behavior. Interdisciplinary research often generates the most innovative solutions to complex healthcare problems.
Submissions to JMID should follow our detailed author guidelines for formatting, structure, and reference style. Original research articles should include a structured abstract with Background, Methods, Results, and Conclusions sections. For computational studies, we require code availability statements and encourage data sharing where possible. All studies involving patient data must document appropriate ethical approval and compliance with privacy regulations.
All manuscripts undergo rigorous single-blind peer review by experts with relevant clinical informatics expertise. Our editorial team carefully matches manuscripts with reviewers who can provide informed, constructive feedback. The review process evaluates scientific validity, methodological rigor, clinical relevance, and quality of presentation. Editors synthesize reviewer feedback to make fair, timely decisions. Most manuscripts require at least one round of revision before acceptance.
JMID is fully committed to the principles of open access publishing. All published articles are immediately and permanently available to readers worldwide without subscription fees or registration requirements. Articles are published under Creative Commons CC BY 4.0 license, which allows readers to share and adapt the work with appropriate attribution to the original authors. This open access model ensures that informatics research reaches its maximum potential audience.
JMID particularly encourages submissions addressing high-impact informatics challenges including: reducing clinician burden through intelligent automation, improving diagnostic accuracy with decision support, enhancing interoperability across health systems, addressing algorithmic bias and fairness in healthcare AI, leveraging real-world evidence from EHR data, and evaluating the implementation of informatics interventions in clinical settings.
JMID is committed to ensuring maximum discoverability for published research. All articles are submitted to major indexing services and receive CrossRef DOI registration for permanent citation. Articles are discoverable through Google Scholar, academic search engines, and citation tracking services. Our metadata standards ensure accurate representation in bibliographic databases worldwide, maximizing the visibility and impact of your informatics research.
The Journal of Medical Informatics and Decision Making was founded to address the growing need for accessible, high-quality publication venues dedicated to clinical informatics research. Since our inception, we have been committed to bridging the gap between technical innovation and clinical application. Our editorial philosophy emphasizes rigorous peer review by domain experts balanced with efficient processing to ensure timely dissemination of important findings in this rapidly evolving field.
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