Circle for Health Informatics at Penn (CHIP)
CHIP is a community at Penn dedicated to the evolutionary development and
ongoing adaptivity of healthcare practices and institutions through
informatics research, education, and service.
Health informatics is an interdisciplinary field
that deals with the collection, storage,
retrieval, communication, and optimal use of
health related data, information, message sets, and
knowledge in all basic and applied areas of the
Research in health informatics at Penn is far reaching, straddling the
spectrum from basic
to applied research and even into the implementation and maintenance of
over time and space. It cuts across schools, medical domains and
facilities. The following links show some of the breadth and diversity of HI
research and training opportunites at Penn.
Education & Training
There are a growing number of education and training opportunites for study
of health informatics at Penn.
On the undergraduate level,
the School of Nursing and Engineering have launched a joint BS degree on
nursing and computer science (contact Max Mintz in the CIS Dept.).
At the graduate school level,
The medical school curriculum is being infused with a number of sessions
on medical informatics as per the AAMC approved curriculum model.
The Engineering School has an annual course every Fall on Medical
Informatics and Telehealth; and
Most of the Faculty listed below have projects and offer
funding and stipends for medical informatics students.
Finally, on the post-doctoral level,
The Center for Clinical Epidemiology and Biostatistics is launching an
MS with a health informatics track for post-MD training (contact John Holmes).
There are two Post-Doc positions in medical informatics, one
for an MD and one for a PhD available through the Veterans Administration
Kathryn Bowles, PhD, RN, Decision Analysis and Support of Hospital Discharge Referral Decisions; Tele-Health Interventions.
David Doukas, MD, Bio-ethics and consumer health websites, ethics of patient information handling
James Gee, PhD, Image analysis of brain structure and function, , statistical models of function
John Holmes, PhD, Medical informatics in epidemiology, knowledge discovery and datamining
Norma Lang, PhD, RN, Public health message tailoring, terminology standards, hospital quality management
Curt Langlotz, MD, PhD, Medical informatics: radiologists' decision support tools, automated explanation of patients' preference-based decision models
Stanley Schwartz, MD, Clinical information systems, decision and learning aids for diabetics
Barry Silverman, PhD, Intelligent software agents, human behavior simulation, adaptive man-machine systems
Richard Tannen, MD, Reuse of clinical trial data
Mark Weiner, MD, Interoperability of distributed medical datasets, tools for merging, analytical processing, and datamining