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BMC Medical Informatics and Decision Making is calling for submissions to our Collection on Semantic interoperability. Semantic interoperability is a crucial aspect of medical informatics, enabling diverse healthcare systems and applications to effectively communicate and share data. By ensuring that data exchanged between systems is not only syntactically correct but also semantically meaningful, semantic interoperability enhances the usability of healthcare information.
As research on semantic interoperability continues to evolve, we may witness transformative advancements in data integration and usage within healthcare. Future explorations could yield more sophisticated AI-driven systems that can automatically harmonize disparate datasets, enhancing real-time decision support and predictive analytics while emphasizing transparent methods, validation, and reproducibility. Additionally, the continuous improvement of standards and protocols may pave the way for seamless interoperability across global health systems, fostering international collaboration and improving health equity.
This Collection invites contributions that delve into the methodologies, frameworks, and technologies facilitating semantic interoperability, including ontology alignment and standardized formats such as FHIR and HL7, which have emerged as pivotal components in achieving effective healthcare data integration.
Potential topics include but are not limited to methodological, empirical, and implementation focused studies on:
This collection supports and amplifies research related to SDG #3: Good Health and Well-Being
All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer-review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.
Submit your manuscript to this collection through the participating journal.
BMC Medical Informatics and Decision Making is an open access, peer-reviewed journal that considers articles related to the design, development, implementation, use, and evaluation of...
Dr Muhammad “Tuan” Amith is an assistant professor in the Department of Biostatistics and Data Science within the School of Public and Population Health at the University of Texas Medical Branch. As a trained biomedical informatician, he specializes in the application of biomedical ontologies and semantic web technologies for public health, clinical research, human-computer interaction, and knowledge engineering. He currently serves as PI and Co-I for ongoing and past funded National Institutes of Health projects.
Dr Licong Cui is an associate professor in McWilliams School of Biomedical Informatics at The University of Texas Health Science Center at Houston. She received her PhD in Computer Science from Case Western Reserve University in 2014. Dr Cui’s primary research goal is to develop innovative informatics methods and tools to address data science challenges in biomedicine and enhance patient care. Her research interests include biomedical ontologies, neuroinformatics, large-scale data integration and management, and big data analytics. Dr Cui has been the Principal Investigator of multiple research awards funded by the National Institutes of Health and the National Science Foundation. She is a Fellow of the American College of Medical Informatics.
Dr Jesualdo Tomás Fernández-Breis holds a PhD in Computer Science and serves as Full Professor of Computer Science at the University of Murcia, Spain, and he is also a member of the BioHealth Research Institute of the Region of Murcia. His research interests are widely related to the field of semantic interoperability in biomedicine, with particular emphasis on how ontologies, knowledge graphs, and FAIR data infrastructures can support the development of semantically interoperable datasets and information systems. Dr Fernández-Breis has been actively involved in the design and implementation of biomedical ontologies, semantic models, and knowledge graphs that enhance interoperability across research and healthcare systems. His work also includes supporting data exchange between electronic healthcare records standards and integrating clinical and omics data in collaboration with an interdisciplinary team. His recent research focuses on how artificial intelligence technologies can increase the productivity of semantic interoperability-related tasks.
Dr Vinícius Lima holds a bachelor’s degree in biomedical informatics from the Faculty of Medicine of Ribeirão Preto, University of São Paulo in 2012, an MBA in Governance and Innovation of Digital Technologies with Sustainability from the Polytechnic School of the University of São Paulo in 2017, and a PhD in Sciences from the Inter-unit Graduate Program in Bioengineering of the University of São Paulo. He has solid experience in web software development, interoperability, and technology innovation, with an emphasis on health information systems, cloud computing, and data collection and management in scientific research.