AMIA is pleased to invite submissions for the AMIA 2021 Virtual Informatics Summit to be held March 22 – 25, 2021. The Summit is a conference that gives a voice to informaticians from four key constituencies who are working to improve healthcare. Attendees will experience content dedicated to Bioinformatics, Clinical Research Informatics, Informatics Implementation, and Data Science in one integrated conference experience. For 2021, we will continue to emphasize your innovations in these areas, but also are looking for syntheses across areas and along the translational spectrum.
The AMIA 2021 Virtual Informatics Summit: Bioinformatics, Clinical Research, Implementation, and Data Science is a dynamic activity continuously reflecting the changing nature of informatics. Building off the success of the AMIA 2018 Informatics Summit with the addition of the Data Science track, the Informatics Summit has embraced the contributions each of these tracks play in the improvement and growth of the field of informatics. Informatics professionals and collaborators within these four sectors make a clear impact to patient care and human health.
We look forward to receiving submissions that describe the latest innovations and knowledge that you are creating in Bioinformatics, Clinical Research Informatics, Informatics Implementation, and Data Science. Sessions will be distinctly tagged with one (or more) of our four major themes of the AMIA 2021 Virtual Informatics Summit.
- Papers - Regular
- Papers - Student
- Podium Abstracts
- Posters - Regular
- Posters - Student
- Ignite-style Talks
- System Demonstrations
The AMIA 2021 Virtual Informatics Summit will feature:
- State-of-the-art informatics approaches, theories, and methods relevant to translational bioinformatics, clinical research informatics, informatics implementation, and health data science
- Latest findings from research and development of informatics applications that support translational bioinformatics, clinical research informatics, informatics implementation, and health data science
- Networking with clinical and translational investigators, health data scientists, computational biologists, genomics researchers, public health geneticists, clinical and public health informaticians, and policy professionals
- Exploration of research-related initiatives emerging from national and international informatics and health data science research initiatives
- Investigators, faculty, students and partners with an interest in applied biomedical informatics that advances clinical and translational science;
- Bioinformaticians, statistical geneticists, and molecular biologists with interests in informatics applied to clinical research (e.g., research on human subjects or material/data of human origin);
- Community health advocates and those working to advance community-based research;
- Data scientists, computer scientists, and system developers with an interest in clinical data modeling, decision support and knowledge management systems;
- Government officials and policy makers concerned with healthcare, biomedical, and translational research;
- Health information and knowledge management industry professionals related to clinical research and translational research;
- Staff members and researchers implementing the informatics components of Clinical and Translational Science Awards (CTSA) and Patient Centered Outcomes Research Institute (PCORI) networks;
- Standards and policy developers and representatives;
- Designers and developers of electronic health records and patient registries;
- Practitioners in the biomedical and clinical research enterprise;
- Citizen Scientists and research participants interested in data literacy and research data methods;
- Educators interested in promoting teaching and training in biomedical informatics and data science at all levels.
After attending this conference, the learner should be better able to:
- Recognize and select state-of-the-art informatics approaches, theories, and methods relevant to translational bioinformatics (TBI), clinical research informatics (CRI), informatics implementation science, and data science;
- Apply the latest findings from research and development of informatics applications to support biomedical research and the generation of evidence to support the clinical enterprise;
- Formulate research hypotheses and projects related to informatics and the health data sciences based on existing datasets or on the aggregation of data from disparate sources;
- Demonstrate multidisciplinary collaborations in the biomedical research and clinical community to expand access to diverse expertise, sophisticated technologies, and unique tools and resources;
- Describe best practices in informatics research to support the professional growth of informatics professionals and their trainees.