Author Guidelines

Manuscript Preparation & Submission

AUTHOR GUIDELINES

Please read these guidelines carefully before submitting your manuscript to Medicor : Journal of Health Informatics and Health Policy. Authors are responsible for ensuring that the manuscript complies with the journal's scientific, methodological, ethical, privacy, data-security, and formatting requirements and contributes meaningfully to health informatics, digital health, health-policy, and health-services scholarship.

Quick Submission Requirements

4,000–8,000
Total Words
150–250
Abstract Words
3–5
Keywords
≥30
References

✓ Submission Preparation Checklist

As part of the submission process, authors are required to confirm that their submission complies with all of the following requirements. Manuscripts that do not comply with these guidelines may be returned to the authors before peer review.

✓ Originality
The manuscript has not been published and is not under review or simultaneously submitted elsewhere. It must not contain plagiarism. A written statement of originality from the author(s) must be provided where required.
✓ Manuscript Length
The manuscript contains at least 4,000 words and does not exceed 8,000 words, including tables, figures, graphs, and references.
✓ Abstract
The abstract is written in English, consists of 150–250 words, is presented as a single continuous paragraph, and does not contain citations.
✓ File and Journal Template
The manuscript is submitted in Microsoft Word format and has been prepared using the official Medicor : Journal of Health Informatics and Health Policy manuscript template.
✓ Similarity Check
The manuscript has been checked using plagiarism-detection software and does not exceed the similarity threshold established by the Editorial Board.
✓ Publication Ethics and Health-Data Protection
The author has read and agrees to comply with the journal's publication ethics, authorship requirements, health-research ethics, patient and participant protection, privacy and confidentiality requirements, data-security principles, AI-use policy, and publication fee policy where applicable.
✓ Online Submission
The article is submitted through the official Medicor : Journal of Health Informatics and Health Policy online submission system.

1. General Author Guidelines

  1. All contributors who wish to submit manuscripts to Medicor : Journal of Health Informatics and Health Policy must comply with these Author Guidelines and the journal's official manuscript template.
  2. The journal aims to advance and disseminate scholarly knowledge in health informatics, digital health, electronic health records, health information systems, health-data analytics, telemedicine, health technology, health policy, health services, healthcare management, interoperability, clinical information systems, and related interdisciplinary fields. The journal welcomes original research articles, conceptual analyses, policy analyses, technical studies, and literature reviews that fall within its aims and scope.
  3. Submitted manuscripts undergo a blind peer-review process. Before review, the Editorial Team conducts an initial screening to assess conformity with the journal's scope, manuscript format, academic quality, methodological soundness, ethical compliance, health-data governance, originality, and relevance to health informatics or policy.
  4. Manuscripts that do not comply with the required format may be returned to the authors for correction before being forwarded to reviewers.
  5. Reviewers evaluate the appropriateness of the topic, methodological quality, scientific and policy significance, technical validity, originality, contribution to health informatics or health-policy knowledge, quality of analysis, ethical rigor, patient or participant protection, and adequacy and recency of references.
  6. Editorial decisions may include acceptance, minor revision, major revision, resubmission, or rejection. The final publication decision remains under the authority of the Editor.
  7. The journal uses plagiarism-detection software such as Turnitin or iThenticate. Manuscripts exceeding the similarity threshold established by the Editorial Board will not be processed further.
  8. Authors must confirm that the manuscript is original, has not been previously published, and is not simultaneously submitted to another journal.
  9. Authors take full responsibility for compliance with publication ethics, including authorship, research integrity, health-data accuracy, clinical-data confidentiality, privacy, informed consent, appropriate citation, conflict-of-interest disclosure, data-security requirements, and research ethics.
  10. Manuscripts must be submitted through the journal's official online submission system, accompanied by the required author declaration or other supporting documents where requested by the Editorial Board.

2. Manuscript Format

Authors are strongly advised to prepare their manuscripts directly using the official Medicor : Journal of Health Informatics and Health Policy template to minimize formatting discrepancies during editorial screening and production.

Font Times New Roman, 11–12 pt, following the official template
Page Size A4
Margins Top and bottom: 1 inch (2.54 cm); left and right: approximately 0.7 inch (1.78 cm), according to the journal template
Page Numbers Positioned at the bottom of the page
Tables Table number and title are placed above the table
Figures Figure number and title are placed below the figure
Sources Sources of quotations, health datasets, clinical records, policy documents, system screenshots, dashboards, tables, figures, algorithms, models, and adapted visual materials must be clearly identified and correspond with entries in the reference list where applicable.
Manuscript Preparation Guidelines

3. Structure of the Manuscript

The manuscript should be logically organized and demonstrate a clear relationship between the health-informatics or health-policy problem, theoretical or policy framework, method, findings, discussion, conclusion, and academic contribution.

3.1 Title

The title must accurately reflect the central content and contribution of the article. It should be concise, specific, informative, and academically meaningful within health informatics and health-policy scholarship.

  • Maximum recommended length: 16–20 words.
  • Do not include the year of research unless scientifically necessary.
  • Avoid uncommon abbreviations.
  • Place the main health-informatics, digital-health, policy, or healthcare-management concept before secondary explanations.
  • The title should reflect the principal system, technology, health-data source, population, healthcare setting, policy issue, intervention, or contribution where relevant.

3.2 Author Names and Affiliations

  • Write the author's full name without academic or professional titles.
  • Provide the author's institutional affiliation.
  • Affiliations should identify the institution clearly and consistently.
  • Provide the institution's location/address as required by the template.
  • Provide a valid email address for each author where required.
  • The corresponding author must be clearly identified.
  • The corresponding author's email and telephone number must be provided separately where required.
  • Authors are strongly encouraged to provide their ORCID iD.

3.3 Abstract

Required Format: English • 150–250 words • Single paragraph • No subheadings • No bullet points • No citations

The abstract must form one continuous and coherent paragraph. It should communicate the essence of the article without requiring readers to consult the main text.

The abstract should logically incorporate the following elements:

1 Background and significance of the health-informatics, digital-health, healthcare-management, or policy topic
2 Specific problem, health-service challenge, policy issue, or research question
3 Research method, health-data source, participants, healthcare setting, information system, intervention, or policy-analysis approach
4 Principal findings
5 Theoretical, methodological, technical, empirical, clinical-service, or policy contribution
6 Main conclusion and implication for healthcare, digital health, health systems, or policy
Writing Note: Methods and findings should normally be written in the past tense, while the conclusion and contribution may be expressed in the present tense where appropriate.

3.4 Keywords

Provide three to five keywords immediately below the abstract. Keywords should represent the principal concepts of the article and assist readers and indexing systems in discovering the manuscript.

  • Use specific and academically meaningful terms.
  • Prefer terms commonly recognized within health informatics, digital health, telemedicine, health policy, health services, healthcare management, electronic health records, or health-data analytics.
  • Avoid unnecessarily broad terms such as “health” or “technology” when a more specific concept is available.
  • Use lower case except for proper names, systems, standards, frameworks, or terms that conventionally require capitalization.

3.5 Introduction

The Introduction should normally be approximately one to two pages. It must be written as a coherent academic narrative without unnecessary subheadings, numbering, or bullet points in the manuscript.

The Introduction should establish:

  1. the health-informatics, digital-health, healthcare-management, health-services, or health-policy problem and its academic, clinical-service, technological, or policy significance;
  2. the specific problem and research question(s);
  3. the clinical, technological, organizational, data-governance, or policy complexity of the problem;
  4. relevant previous studies and the current state of the art;
  5. the literature, implementation, technology, service, data, or policy gap;
  6. the novelty or distinctive contribution of the study; and
  7. clear research objectives.
Mandatory Novelty Statement
A clear Novelty Statement must appear near the end of the Introduction, immediately before the research objective statement. In one or two concise sentences, it must identify the gap in existing health-informatics, health-services, or health-policy scholarship and explain what distinguishes the present system, intervention, analytical approach, implementation strategy, or policy analysis from previous research.

3.6 Method

The Method section must provide sufficient information to allow readers to understand, assess, and where appropriate replicate the research process.

The methodological approach must be clearly identified, such as quantitative, qualitative, mixed-methods, health-services research, policy analysis, implementation research, system-development research, usability study, health-data analytics, retrospective or prospective observational research, survey research, case study, economic or policy evaluation, literature review, systematic review, or another appropriate design.

The Method section should normally address:
  • Research Type / Research Design
  • Population and Sample / Patients / Healthcare Professionals / Users / Institutions / Policy Documents / Data Sources
  • Research Location, Healthcare Setting, Organization, Health System, Platform, or Policy Context
  • Research Instruments, Health Information Systems, EHR Sources, Digital Platforms, Algorithms, or Analytical Tools
  • Intervention, System Implementation, Data Collection, or Policy-Analysis Procedures
  • Data Analysis, Statistical Analysis, Qualitative Analysis, Health-Data Analytics, or Policy-Evaluation Procedures
  • Validity, Reliability, System Validation, Model Performance, Data Quality, or Trustworthiness, where relevant
  • Ethical Approval, Informed Consent, Privacy, Confidentiality, Data Security, and Governance, where applicable

Ethical approval is mandatory for studies involving human participants, patients, identifiable health information, medical records, clinical data, or other activities requiring ethical oversight when required by applicable institutional or national regulations. Authors must appropriately address informed consent, waiver of consent where legitimately approved, privacy, confidentiality, de-identification, data access, cybersecurity, and responsible use of health data. Where ethical approval is not applicable, this should be stated clearly.

3.7 Results

The Results section presents the principal empirical, technical, implementation, service, or policy findings in a clear, systematic, and objective manner.

  • Present findings according to the research questions, hypotheses, implementation objectives, policy questions, system requirements, or analytical themes.
  • Use processed and summarized data rather than raw statistical, database, or software output.
  • For health-information-system or digital-health studies, clearly report usability, adoption, interoperability, implementation, performance, workflow, quality, or outcome indicators where relevant.
  • For health-data analytics, report appropriate performance measures, model validation, predictive or classification metrics, and clinically or operationally meaningful outcomes.
  • For health-policy research, clearly report policy findings, implementation patterns, stakeholder perspectives, system effects, access implications, cost or service implications, or equity considerations where relevant.
  • For qualitative research, present themes, participant perspectives, organizational findings, or implementation experiences systematically.
  • Tables, figures, dashboards, workflows, conceptual models, maps, or system diagrams may be used when they improve clarity.
  • Avoid duplicating identical information in text, tables, and figures.
  • Important findings should be explained in the text rather than merely displayed.

3.8 Discussion

The Discussion must move beyond description by explaining the meaning, significance, and academic, clinical-service, technological, organizational, or policy implications of the findings.

Interpret the key health-informatics, health-services, digital-health, or policy findings.
Explain why the findings occurred and why they are significant for healthcare delivery, information systems, health-data use, management, or policy.
Compare the findings with relevant previous health-informatics, digital-health, health-services, or policy research.
Identify agreements, differences, contradictions, implementation barriers, or extensions of existing knowledge.
Explain theoretical, methodological, technological, clinical-service, managerial, equity, or policy implications.
Address limitations related to data quality, representativeness, interoperability, privacy, implementation context, system generalizability, policy environment, or other relevant constraints.

3.9 Conclusion

The Conclusion should present the essence of the study in paragraph form without numbering. It must directly correspond with the research objectives and findings.

The Conclusion should:

  • restate the research or policy objective in an appropriate concise form;
  • summarize the principal findings;
  • answer the research question(s);
  • state the healthcare, digital-health, technological, organizational, policy, equity, and/or theoretical implications;
  • identify the academic contribution;
  • acknowledge relevant limitations; and
  • provide appropriate directions for future research, implementation, system development, or policy improvement.
Mandatory Academic Contribution Statement
An Academic Contribution Statement must be included in the Conclusion, after the principal conclusion and before the limitations paragraph. In approximately two to three sentences, authors should explain how the findings extend, challenge, refine, or enrich existing health-informatics theory, digital-health practice, health-services methodology, health-information-system design, policy understanding, or empirical knowledge.
Important: Do not introduce new data, new literature, or new arguments in the Conclusion.

3.10 Acknowledgments

Authors may acknowledge individuals, hospitals, clinics, public-health agencies, healthcare institutions, government agencies, health-information-system teams, IT personnel, data providers, policymakers, research assistants, or other parties that supported the research or publication process but do not meet the criteria for authorship.

3.11 Declarations

Authors must provide the relevant declarations to ensure transparency, accountability, participant protection, responsible health-data use, and research integrity. The declaration section should include Author Contributions, Funding, Conflict of Interest, Generative Artificial Intelligence Use, Ethics Approval and Informed Consent, and Data Availability, as applicable.

Author Contributions

Authors must clearly state the contribution of each author to the research and preparation of the manuscript. Medicor : Journal of Health Informatics and Health Policy encourages the use of the CRediT (Contributor Roles Taxonomy), including, where applicable, conceptualization, methodology, investigation, data curation, formal analysis, software, validation, visualization, writing—original draft, writing—review and editing, resources, supervision, project administration, and funding acquisition.

Funding

Authors must identify all sources of financial support for the research, including the name of the funding agency and the grant or contract number, where applicable. Authors should also indicate whether the funder had any role in the study design, health-data access, system development, intervention, policy analysis, data collection, analysis, interpretation, manuscript preparation, or decision to publish. If the research received no external funding, this must be stated explicitly.

Conflict of Interest

Authors must disclose any financial, professional, institutional, healthcare-industry, technology-vendor, software-provider, governmental, policy-related, personal, or other interests that could reasonably be perceived as influencing the research, system evaluation, policy analysis, interpretation of findings, or publication of the manuscript.

Recommended statement when no conflict exists:
“The authors declare no conflict of interest.”
Generative Artificial Intelligence Use Statement

Authors must disclose the use of Generative Artificial Intelligence (Generative AI), Large Language Models (LLMs), or other AI-assisted technologies in the preparation of the manuscript or research workflow, where applicable.

Relevant uses may include AI-assisted writing, translation, coding, health-data processing, natural-language processing, clinical-text analysis, image analysis, predictive modeling, decision-support development, literature synthesis, or other health-informatics research activities.

Authors remain fully responsible for the originality, accuracy, integrity, citations, software, algorithms, health data, clinical interpretation, policy interpretation, analysis, and conclusions of their work. Generative AI tools must not be listed as authors or co-authors and must not replace human scholarly, clinical, ethical, or editorial judgment.

Where required by Medicor : Journal of Health Informatics and Health Policy, authors must also complete and sign the journal's Artificial Intelligence Declaration Form prior to publication. A brief statement confirming the use or non-use of Generative AI must remain included in the published manuscript.

Ethics Approval and Informed Consent

For research involving patients, healthcare professionals, human participants, medical records, clinical databases, identifiable health information, vulnerable groups, or other activities requiring ethical oversight, authors must provide information regarding ethics approval, including the name of the approving institution or ethics committee and the approval number where applicable.

Authors must also confirm that informed consent was obtained where required, or clearly state an approved waiver where applicable. Patient privacy, confidentiality, de-identification, data minimization, secure data handling, and responsible secondary use of health data must be appropriately addressed. If ethics approval or informed consent is not applicable to the study, this should be explicitly stated.

Data Availability Statement

Authors must indicate whether the data supporting the findings of the study are available and, where applicable, provide information on how the data can be accessed. This may include anonymized health datasets, electronic-health-record extracts, survey data, health-services data, policy datasets, coding frameworks, algorithms, software, model outputs, or supplementary files.

Data may be made available through an institutional or disciplinary repository, as supplementary material, or from the corresponding author upon reasonable request. If health or policy data cannot be made publicly available because of ethical, legal, privacy, confidentiality, cybersecurity, data-use-agreement, institutional, licensing, commercial, or other legitimate restrictions, the reason should be clearly stated.

Example of a Complete Declaration

Author Contributions: Author 1 conceptualized the study, developed the methodology, conducted the formal analysis, and prepared the original draft; Author 2 curated and validated the health data, supervised the research, reviewed and edited the manuscript, and approved the final version.

Funding: This research received no external funding.

Conflict of Interest: The authors declare no conflict of interest.

Generative Artificial Intelligence Use Statement: No Generative AI or Large Language Model was used to generate the scientific content, health data, analysis, interpretation, or conclusions of this manuscript.

Ethics Approval and Informed Consent: Ethics approval and informed consent were not applicable to this study.

Data Availability Statement: The data supporting the findings of this study are available from the corresponding author upon reasonable request, subject to applicable privacy and confidentiality restrictions.

3.12 References

The reference list must contain only works cited in the manuscript. Every in-text citation must have a corresponding entry in the reference list, and every reference listed must be cited in the manuscript.

Reference Style APA 7th Edition
Minimum References At least 30 references
Journal Articles At least 80% should consist of journal articles
Recency References should primarily derive from publications within the past 10 years, except foundational health-informatics frameworks, established health-policy theories, international standards, or historically important sources where scientifically justified.
Reference Manager Mendeley, EndNote, Zotero, or equivalent software is strongly recommended
Reference Consistency
Authors must carefully verify the consistency between in-text citations and the reference list. Missing references, uncited references, duplicate references, inaccurate DOI information, and incomplete citations to health-data sources, standards, software, policy documents, guidelines, or technical frameworks should be corrected before submission.

4. Tables and Figures

Tables
Tables should present processed and summarized information rather than raw statistical, database, EHR, or software output. Table numbers and titles must be positioned above the table.
Figures
Figures, health-information-system architectures, workflows, dashboards, policy frameworks, conceptual models, maps, process diagrams, model-performance plots, or other graphical materials must be clear, relevant, readable, and of sufficient quality for publication. Figure numbers and titles must be positioned below the figure.
Sources and Health-Data Materials
The source of every table, figure, system screenshot, dashboard, dataset visualization, policy framework, clinical workflow, or adapted visual material must be stated where applicable. Materials reproduced or adapted from health information systems, public agencies, vendors, or published sources must be properly cited and comply with applicable privacy, licensing, copyright, and permissions requirements.

Oversized tables, extensive health-data dictionaries, full policy coding matrices, detailed system specifications, supplementary dashboards, complete technical logs, or other supporting materials that interrupt the readability of the manuscript should be moved to the Appendices or supplementary materials where appropriate.

5. Appendices

Appendices may contain questionnaires, interview protocols, health-policy coding frameworks, system requirements, interoperability specifications, data dictionaries, algorithms, supplementary analyses, model-performance details, additional tables, implementation workflows, de-identified technical examples, or other supporting materials that assist readers in understanding or evaluating the research but are not essential to the main narrative of the article.

Before You Submit

Final Manuscript Quality Check

Title is specific, informative, and consistent with the health-informatics, digital-health, health-services, or policy focus of the manuscript.
Author names, affiliations, email addresses, ORCID iDs where available, and corresponding-author information are complete.
Abstract contains 150–250 words, contains no citations, and clearly presents the problem, method, findings, contribution, and conclusion.
Three to five relevant health-informatics, digital-health, health-policy, or health-services keywords are provided.
Introduction includes the state of the art, research or policy gap, novelty statement, and research objectives.
Methodology clearly explains the research design, healthcare setting, participants or datasets, information system or policy context, data collection, analysis, validation, and ethics where applicable.
Health-data quality, provenance, de-identification, privacy, confidentiality, access authorization, and data-security procedures are adequately described where relevant.
Results directly address the research questions, system objectives, implementation questions, service outcomes, or policy-analysis objectives.
Discussion critically compares findings with previous health-informatics, digital-health, health-services, or health-policy research and explains their implications.
Conclusion answers the research objectives and contains the mandatory Academic Contribution Statement.
Author contributions, funding, conflict of interest, Generative AI use, ethics, informed consent, health-data privacy, and data availability are properly declared where applicable.
References follow APA 7th Edition and meet the journal's quantity, relevance, quality, and recency requirements.
The manuscript has been proofread, checked for similarity, and verified for health-data integrity, patient or participant confidentiality, privacy, cybersecurity, ethical compliance, and responsible AI use before submission.

Important Points to Remember

Original Research
Originality and contribution to health informatics or health-policy scholarship must be clear.
Clear Novelty
State of the art + research/policy gap + novelty.
Data Ethics & Privacy
Protect patients, participants, health records, privacy, and confidentiality.
Quality References
Prioritize current health-informatics, health-services, and health-policy literature.

Before Final Submission

Authors should carefully review the manuscript, official template, publication ethics, health-research ethics, patient and participant protection, health-data privacy and security, system or policy documentation, declarations, and OJS metadata before completing the submission process. Compliance with these guidelines will assist the Editorial Team of Medicor : Journal of Health Informatics and Health Policy in conducting an efficient initial screening and peer-review process.