The
BIDS program spans the fields of Data Science and
Biomedical Informatics- which we define as follows (Payne PR, Bernstam EV,
Starren JB. Biomedical informatics meets data science: current state and future
directions for interaction. Jamia Open. 2018 Oct;1(2):136-41.):
Figure 1: Overview of an integrated biomedical data,
information, and knowledge lifecycle, showing the contributions of theories and
methods associated with Big Data, Biomedical Data Science, and Biomedical
Informatics (BMI). For each phase of the model, exemplary contributions to such
theory and practice as have been generated by the BMI community over the last
several decades are shown.
Throughout their training, learners will interact with
patients, providers, and the healthcare data ecosystem in addition to working
at the bench. The BIDS
program will promote interdisciplinary collaboration in solving problems in
clinical practice, individual and population health, data science, and
biomedical research, through the optimal use of information. The training
opportunities will include the five areas as defined by the American Medical
Informatics Association (AMIA), the largest professional scientific community
in the field of biomedical informatics: 1) Applied Clinical Informatics; 2)
Consumer Health Informatics; 3) Clinical Research Informatics; 4) Translational
Bioinformatics; and 5) Population Health Informatics:
Applied
Clinical Informatics (ACI) focuses on supporting and elevating clinical
informatics practice through research translation, which is essential to fill
the gaps between practice and research. ACI involves the application of
innovative measurement and informatics approaches to inform and improve
clinical practice.
Consumer
Health Informatics (CHI) involves views from consumers or patients and focuses
on information structures and processes to empower individual’s management of
their own health. CHI investigates consumers' needs and integrates consumers'
preferences into health information systems.
Clinical
Research Informatics (CRI) involves the use of informatics in the discovery and
management of new knowledge relating to health and disease. Specifically, CRI
manages information related to clinical trials as well as secondary use of
clinical data.
Translational
Bioinformatics (TBI) is the development of storage, analytic, and
interpretive methods to optimize the transformation of increasingly voluminous
biomedical data into proactive, predictive, preventative, and participatory
health.
Population
Health Informatics (PopHI)
integrates aspects of public health, clinical informatics, and health care
delivery with the target of improving health care system effectiveness and the
well-being of communities and populations.