Master's Program in Medical Informatics
The divisions of Neonatology and Biomedical Engineering have
developed an integrated program that provides both theoretical and
practical instruction, as well as research experience in the field of
medical informatics as it applies to neonatal medicine. Upon successful
completion of the training program, the fellow is expected to have
completed sufficient course work to be eligible for a Masters degree in
Biomedical Engineering with a focus in medical informatics, and to have
the tools and skills necessary to apply medical computing technologies
in a critical care environment.
Learning Objectives
- A master's-level understanding of medical informatics
- Competency in implementing computing technologies in a healthcare environment
- Demonstrated understanding of the uses of medical computing systems
as they relate to fostering research and promoting evidence-based
medicine
Background
In recent years the advancement of newborn medicine
has become increasingly dependent upon computer science. The marriage
of these two fields is manifest in the practice of medical informatics
- a discipline that bridges the gap between technology and patient
care. Focusing on the storage, retrieval, sharing and analysis of
biomedical data, informatics seeks to optimize patient care and guide
future research. It touches on all areas of basic and clinical science,
and is intricately linked to emerging computing and communications
technologies.
Our burgeoning understanding of neonatology coupled with the means to
measure seemingly infinite lab values, has out-paced our ability to
manage NICU data with a traditional medical record. New and innovative
ways to organize and analyze patient information need to be developed
in order to improve long-term outcomes and promote evidence-based
medicine. A sound understanding medical informatics is rapidly becoming
essential in the high-tech environment of the neonatal ICU. Toward this
end, we propose that the scholarly study of medical informatics is a
legitimate and important pursuit for today's fellows in
Neonatal-Perinatal Medicine.
Supervisors
- Jeffrey M Ferranti, M.D., M.S.
Director of Pediatric Informatics, Duke University Health System
Director of Computerized Patient Safety Initiatives, Duke University Health System
Clinical Faculty Member, Division of Neonatology
-
Edward Hammond, Ph.D.
Core Course Work
BME 243 - Introduction to Medical Informatics
BME 399 - Computer-based Medical Records
BME 265 - Knowledge Representation. Design and structure of clinical data
BME 399 - Research and Evaluation Methods.
BME 265 - Clinical Reasoning and Decision Making
BME 399 - Software Engineering
Elective Course Work
Courses are offered in the departments of Biomedical Engineering,
Business Administration, Computer Science, Family Medicine, Public
Policy, and Statistics.
BME 241 ARTIFICIAL INTELLIGENCE IN MEDICINE
BME 264 MEDICAL INSTRUMENT DESIGN
BME 244 MATHEMATICAL MODELS OF PHYSIOLOGICAL SYSTEMS
BA 510 BAYESIAN INFERENCE AND DECISION
BA 525 BEHAVIORAL DECISION THEORY
BA 564 EXPERIMENTAL DESIGN AND ANALYSIS SEMINAR
CPS 212 INTRODUCTION TO SCIENTIFIC COMPUTING
CPS 241 DATA BASE METHODOLOGY
CPS 252 COMPUTER SYSTEMS ORGANIZATION
CPS 276 COMPUTATION, AND MEMORY IN BIOLOGICAL SYSTEMS
CFM 213 RESEARCH DATA MANAGEMENT
CFM 217 CLINICAL DECISION ANALYSIS
CFM 236 COMPUTERS AND THEIR APPLICATION IN MEDICINE
SDS 213 INTRODUCTION TO STATISTICAL METHODS
PPS 222 STATISTICS AND DATA ANALYSIS FOR PUBLIC POLICYMAKERS
Practical Experience
Fellows will develop a research project in
medical informatics. Possible projects include but are not limited to:
Computerized Patient Safety Initiatives, Electronic medical records,
wireless technologies, telemedicine, data analysis techniques,
heuristics, medical decision making, artificial intelligence and
genomics, computerized physician order entry.
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