Laurel Taylor (Can), Ph.D., M.B.A.
Institute of Health Services and Policy Research
Harkness Project Title:
Enhancing Health Management: Predicting Physician Utilization of Integrated Electronic Prescribing
Biography at time of Harkness Fellowship: Laurel Taylor, a 2006–07 Canadian Associate of The Commonwealth Fund Harkness Fellowships in Health Care Policy, is director of operations at the Canadian Patient Safety Institute. She is also assistant professor in the Department of Medicine at McGill University working with Robyn Tamblyn on the use of pharmacy and e-health technologies. Taylor is a member of the Medical Office of the Twenty-first Century (MOXXI) project team. In this innovative health research team, she has project management and liaison functions, while pursuing a stream of research concerning the integration of technology to provide improved quality and safety of health care to Canadians. Taylor's current research interests include: understanding predictors for adoption and utilization of technology in primary care; assessing the prevalence of electronic drug alerts in primary care settings with an integrated drug management system; analyzing the predictors of physician response to drug alerts; and identifying facilitators and barriers to the integration of decision support tools for the treatment of asthma into community care practices. Before relocating to Quebec, she was part of a team that introduced the principles of total quality management to the administrative and clinical functions of the University of Alberta hospitals. She has been a leading instructor in McGill University's annual Health Challenge: Integrating Management and Medicine workshop for graduating M.D.-M.B.A. students. She is also active in promoting management education for physicians and is currently a co-investigator for a unique and important clinical trial providing leadership and management education to medical residents.
Project: The objective of Taylor’s research was to define and analyze predictors of physician utilization of electronic prescribing. More than 60 GPs from more than 20 clinics participated in the study. Data were collected from multiple sources, including electronic audit data, survey data, and medical services and medication claims data. A multiple regression model was used to determine physician characteristics that significantly influenced electronic prescribing rates.
Current Position: Assistant Director, Institute of Health Services and Policy Research (Updated June 2013)