Wolff - Advanced Quality Education Series 2021 (AQES) Session 4 4.14.21
Maintaining the Gains - How to Interpret Data to Advance Quality Improvement
- Understand basic principles of data analysis and how they apply to the forms of data that come from health care systems.
- Summarize and assess the health of a group of people and how it relates to understanding the importance of standardization and limitations of risk adjustment and prediction.
- Understand the methodologies by which data is created for epidemiologic evaluation and critically interpret data, analyses and conclusion based on data and methods used.
Welcome/Announcements (9:00a-9:02a) Stephanie Knoch 2 min
Interpreting Data to Advance Quality Improvement (9:02a – 10:40a) Mark S. Roberts, MD, MPP Distinguished Professor, Health Policy and Management Director, Public Health Dynamics Lab Professor, Medicine, Industrial Engineering, Business Administration and Clinical and Translational Science University of Pittsburgh, Graduate School of Public Health 98 min
Break (10:40a – 10:50a) Project Report Outs (10:50a – 11:25a)
Improving Family Satisfaction in the NICU Hematology Palliative Care Initiative
Reducing Medication Errors in Primary Care
Decreasing Sepsis Mortality
Preventing Insulin Pen Sharing in the Hospital
Implementation of a Standardization Discharge Assessment Team 35 min
Wrap – up (11:25a - 11:30a) Stephanie Knoch 5 min
Mark S. Roberts, MD, MPP
Distinguished Professor, Health Policy and Management
Director, Public Health Dynamics Lab
Professor, Medicine, Industrial Engineering, Business Administration and Clinical and Translational Science
University of Pittsburgh, Graduate School of Public Health
No members of the planning committee, speakers, presenters, authors, content reviewers and/or anyone else in a position to control the content of this education activity have relevant financial relationships with any proprietary entity producing, marketing, re-selling, or distributing health care goods or services, used on, or consumed by, patients to disclose.
Accreditation and credit designation
In support of improving patient care, the University of Pittsburgh is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.
The University of Pittsburgh School designates this live activity for a maximum of 2.25 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
The maximum number of hours awarded for this Continuing Nursing Education activity is 2.25 contact hours.
Other Healthcare Professionals
Other health care professionals will receive a certificate of attendance confirming the number of contact hours commensurate with the extent of participation in this activity.
- 2.25 AMA PRA Category 1 Credit™The University of Pittsburgh School of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
- 2.25 ANCCUPMC Provider Unit is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center’s Commission on Accreditation
- 2.25 Attendance