A CU Medicine provider.

Locations

Monday: All day
Tuesday: All day
Wednesday: All day
Thursday: All day
Friday: All day
Saturday: All day
Sunday: All day

Qualifications and experience

Specialties
Internal Medicine
Gender
Female
Education
Residency
University of California (San Francisco)/University of California School of Public Health Program (General Preventive Medicine) (2016)

Undergraduate
Xavier University (OH) (2009)

Graduate
University of Chicago (2013)

Clinical interest for patients

Dr. Raffel recognizes the importance of the system of care in achieving excellent patient outcomes. She was one of a small inaugural cohort of faculty within the Learning Health System Coaching program at UCSF. This was a two-year intensive program to enhance faculty Lean Certification, mentorship of residents/fellows and coaching improvement efforts both within their Division and across the health system. During that training time period, she was chosen as the medical director for the hospital medicine Unit-Based Leadership Team, an interprofessional improvement team, that led quality/safety efforts on the three largest medicine units at UCSF.

Dr. Raffel currently serves as core faculty at the Institute for Healthcare Quality Safety and Efficiency, an organization dedicated to transforming people, processes and outcomes. In this role, she provides QI/safety education and direct coaching of improvement.

Research interest for patients

Dr. Raffel's research efforts have focused on identifying and describing diagnostic error among hospitalized adults. In 2017-2018, she conducted a one-year single-site retrospective cohort evaluating diagnostic error among 7-day readmissions. This work demonstrated the presence of diagnostic error in 1/20 cases of early readmission with a variety of diagnoses and multifactorial provider and systems root causes. The methodology of this study subsequently led to an ongoing AHRQ-funded multi-site study evaluating diagnostic error among ICU escalations or inpatient death. In the UPSIDE (Using Predictive Systems to identify Inpatient Diagnostic Error) study, over 20 hospital sites are collaborating to review >2,000 triggered cases.

Insurance
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