AMIA 2022 Informatics Summit

Call for Participation for AMIA 2022 Informatics Summit

AMIA is pleased to invite submissions for the AMIA 2022 Informatics Summit March 21-24 at the Swissotel Chicago. Attendees will experience content dedicated to Bioinformatics, Clinical Research Informatics, and Data Science in one integrated conference experience.

New to the AMIA 2022 Informatics Summit, we have expanded upon the previous Informatics Implementation track to include it as a new theme: Applied Informatics. In addition to selecting one of the three core Programmatic Tracks (Clinical Research Informatics, Data Science, Translational Bioinformatics), authors/presenters can also choose to designate their submission as part of the Applied Informatics theme to highlight the crucial application and implementation focus of their work.

We look forward to receiving submissions that describe the latest innovations and knowledge that you are creating, Sessions will be distinctly tagged with one (or more) of our three major tracks of the AMIA 2022 Informatics Summit.

Submission Deadline: August 19, 11:59 p.m. EDT

IMPORTANT! Submissions that do not meet the following requirements may be rejected without review. READ the submission guidelines and follow the sample format (Word, LaTex)

All submissions must be made through the submission site.

Submission Platform

Please note: we are no longer using ScholarOne as our abstract submission platform. We are using eShow. To submit through this platform, you need to use your AMIA login or create an account. Any questions can be directed to Dasha Cohen, dasha@amia.org.

Submission Categories

  • Papers - Regular
  • Papers - Student
  • Podium Abstracts
  • Posters - Regular
  • Posters - Student
  • Panels
  • Ignite-style Talks
  • System Demonstrations
  • Workshops - Collaborative
  • Workshops - Instructional

The AMIA 2022 Informatics Summit will feature:

  • State-of-the-art informatics approaches, theories, and methods relevant to translational bioinformatics, clinical research informatics, and health data science.
  • Latest findings from research and development of informatics applications that support translational bioinformatics, clinical research informatics, 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.

Target Audience

  • 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.

LEARNING OBJECTIVES:

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), 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.