Biomedical Informatics and Data Science Research
Biomedical Informatics and Data Science Research Projects
Biomedical Informatics and Data Science research projects are described in the following sections along with links to recent and ongoing research. The purpose is to illustrate the diversity of our activities and the high degree of collaboration between faculty from different departments. Most of the projects have involved quite a number of trainees, both postdocs and predocs, over an extended period of time. Some have continued to participate as faculty members after their training was completed. The interdisciplinary nature of biomedical informatics research projects includes the following disciplines:
- Basic Biomedical Sciences
- Clinical Sciences
- Cognitive Science & Decision Making
- Computer Science (hardware)
- Computer Science (software)
- Management Sciences
Medical Informatics is comprised of the following divisions:
- Clinical Informatics
- Clinical Research Informatics
- Information Sciences
- Informatics Training
- Public Health Informatics
- Translational Informatics
Three Divisions that build on and expand existing areas of informatics focus at Yale are listed below.
Clinical Research Informatics utilizes the accumulating "big data" derived from clinical and translational activities to advance health quality, healthcare delivery, and performance. The clinical data warehouses (EPIC, VA Corporate Data Warehouse) are critical components.
The data warehouse at YNHHS combines data feeds from several clinical, research, administrative, and finanacial sources and provides access to currently unexplored information. Access to this knowledge helps to assure that care delivery is value-driven.
Clinical Informatics promotes and advanced the use and usefulness of the longitudinal record of health and illness. To date, the electronic health record has been used primarily as a documentation and communication tool, but best value may be derived when CDS is integrated into the EHR “providing clinicians, staff, patients or other individuals with knowledge and person-specific information, intelligently filtered and presented at appropriate times, to enhance health and health care” (Health IT.gov).
Public Health informatics applies informatics and public health expertise effectively and efficiently to inform and improve the practice of public health and data science.