This journal focuses on the application of artificial intelligence, machine learning, and natural language processing to analyze electronic health records and clinical data. It covers the development and validation of predictive models for various medical conditions, the extraction of information from unstructured clinical text, and the use of AI for clinical decision support and workflow optimization. The scope includes research on improving diagnostic accuracy, predicting patient outcomes, and enhancing the efficiency of healthcare processes.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Health Information ManagementQ1
Health InformaticsQ2
Subject Classification
Web of Science Categories
Medical Informatics
Scopus Categories
Health Information ManagementHealth Informatics
Research Topics (OpenAlex)
Electronic Health Records SystemsMachine Learning in HealthcareArtificial Intelligence in Healthcare and EducationBiomedical Text Mining and OntologiesMobile Health and mHealth ApplicationsTopic ModelingTelemedicine and Telehealth ImplementationSepsis Diagnosis and TreatmentArtificial Intelligence in HealthcareHealthcare Technology and Patient Monitoring