▶ The problem with traditional quality metrics is that they often evaluate outcomes AFTER a procedure has been performed. They do not evaluate whether the procedure, prescription,
or diagnostic test was appropriate in the first place.
▶ We set out to measure appropriateness in medicine using a physician-led, consensus process.
▶ We apply appropriateness consensus metrics at the physician-level to big data to identify areas of overuse, underuse or misuse and to identify physician outliers.
▶ We leverage partnerships with respected specialty societies to engage outlier physicians using peer-to-peer benchmarked reports and educational resources
▶ We then evaluate the impact of the Improving Wisely intervention on process, patient and cost outcomes over time.
Martin Makary, MD MPH FACS
Professor of Surgery, Johns Hopkins University School of Medicine
Professor of Health Policy and Management, Johns Hopkins School of Public Health
Research Fellow, Johns Hopkins University School of Medicine Dept. of Surgery
Research Fellow, Johns Hopkins School of Medicine Dept. of Surgery
Peiqi Wang, MD MPH
Post-Doctoral Research Fellow, Johns Hopkins School of Medicine Dept. of Surgery
Heidi Overton, MD
General Surgery Resident, Johns Hopkins University School of Medicine
PhD Candidate, Johns Hopkins Bloomberg School of Public Health
Christine (Tina) Fahim, PhD, MSc
Scientist, Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto
Caitlin Hicks, MD
Emily Boss, MD MPH