Mark A. Musen, MD, PhD

Mark A. Musen, MD, PhD

  • Professor of Medicine (Biomedical Informatics Research) and Biomedical Data Science
  • Stanford Health Policy Associate

Center for Biomedical Informatics Research
Stanford University School of Medicine
1261 Welch Road, MSOB X-215
Stanford, California 94305-5479

(650) 725-3390 (voice)

Biography

Dr. Musen is Professor of Biomedical Informatics and of Biomedical Data Science, and Director of the Stanford Center for Biomedical Informatics Research.  Dr. Musen conducts research related to intelligent systems, reusable ontologies, metadata for publication of scientific data sets, and biomedical decision support.  His group developed Protégé, the world’s most widely used technology for building and managing terminologies and ontologies. He is principal investigator of the National Center for Biomedical Ontology, one of the original National Centers for Biomedical Computing created by the U.S. National Institutes of Heath (NIH).  He is principal investigator of the Center for Expanded Data Annotation and Retrieval (CEDAR).  CEDAR is a center of excellence supported by the NIH Big Data to Knowledge Initiative, with the goal of developing new technology to ease the authoring and management of biomedical experimental metadata.  Dr. Musen directs the World Health Organization Collaborating Center for Classification, Terminology, and Standards at Stanford University, which has developed much of the information infrastructure for the authoring and management of the 11th edition of the International Classification of Diseases (ICD-11). 

publications

Working Papers
December 2004

Evaluating Provider Adherence in a Trial of a Guideline-based Decision Support System for Hypertension

Author(s)
cover link Evaluating Provider Adherence in a Trial of a Guideline-based Decision Support System for Hypertension
Working Papers
December 2004

Modeling guidelines for integration into clinical workflow

Author(s)
cover link Modeling guidelines for integration into clinical workflow
Working Papers
October 2002

Framework for Evidence-adaptive Quality Assessment that Unifies Guideline-based and Performance-indicator Approaches, A

Author(s)
cover link Framework for Evidence-adaptive Quality Assessment that Unifies Guideline-based and Performance-indicator Approaches, A