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Peter J. Haug, M.D., FACMI

Languages spoken: English

Academic Information

Departments: Biomedical Informatics - Professor

Academic Office Information

peter.haug@hsc.utah.edu

Board Certification

  • American Board of Internal Medicine
  • National Board of Medical Examiners

Research Interests

  • Clinical Decision Support Systems
  • Medical Information Systems
  • Natural Language Processing
  • Ontology
  • Predictive Modeling
  • Machine Learning/ Artifical Intelligence
Dr. Peter J. Haug earned his MD from the University of Wisconsin, Madison. Currently he directs the Homer Warner Center for Informatics Research at Intermountain Healthcare and is a professor in the University of Utah’s Department of Biomedical Informatics, where he is involved in research and postgraduate education.
His expertise includes the following: the study of tools for natural language processing in medicine; the evaluation of probabilistic decision support systems for use in the health-care process; the development of computer-based tools to deliver detailed medical protocols; and various applications of data mining to assist in the development of innovative medical software.

Previously, he developed components of two different medical information systems. Currently, he is focusing on the construction of environments designed to support applied informatics research and to support the testing of innovative tools for implementing decision support in active clinical settings.

His research explores natural language processing to extract clinical information from medical documents, sharable approaches to representing decision support logic, models of disease capable of informing clinical care, and secondary uses of data collected in the course of care.

Joining the department in 1983, Professor Haug, MD, is a Fellow of the American College of Medical Informatics, and co-chairs the Arden Syntax Working Group, Health Level VII. He is certified by the American Board of Internal Medicine and the National Board of Medical Examiners.

“Medicine is transitioning in this country from a cottage industry to a standardized system for care delivery. Biomedical informatics not only gives me a front row seat, it makes me a participant in this fascinating transformation.”

Google Scholar: http://scholar.google.com/citations?user=h_Mg9IAAAAAJ

Research Statement

Medical information systems; medical decision-support systems; knowledge representation; natural language processing.

Education History

Residency LDS Hospital
Internal Medicine
Resident
Fellowship University of Utah, Department of Medical Informatics
Fellow
Internship LDS Hospital
Intern
Professional Medical University of Wisconsin Medical School
Medicine
M.D.
Undergraduate University of Wisconsin
Mathematics
B.A.