Quality Improvement and Patient Safety Leadership Development Program Session: Data Acquisition and Analysis
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The participants in this course may lack formal learning in designing, scoping, developing, and analyzing a quality or safety improvement. Data collection and analysis is a critical skill for clinicians and administrators to make care delivery — and systems of care — better in their health care organization. To successfully implement improvement, learners need specialized skills in data management which has not been part of the formal medical school, allied health or quality and safety improvement curricula. This session is part of the Jefferson College of Population Health Quality Improvement/Patient Safety Leadership Development Program, designed to establish a critical mass of faculty and clinical leadership ready, able, and willing to engage in, role model, and lead education in QI/PS and in the reduction of excess health care costs.
To successfully complete this activity, the required evaluation must be completed no later than Monday, November 16, 2020. Thereafter, the evaluation will no longer be available and credits will not be issued. No refunds will be offered for failure to complete the required evaluation by the stated deadline.
This program is targeted to physicians, physician assistants, psychologists, nurses, and other healthcare professionals.
- Analyze the “Raw Data” needs for QI / PS projects, and Population Health Initiatives
- Identify clinical, administrative, financial, operational, and other data sources that inform individual improvement projects.
- Evaluate Thomas Davenport’s model for working with quants in data analysis projects
- Describe organizational process for data acquisition
- Construct solutions to overcome identified challenges and obstacles in data acquisition
- Organize data needs specific to individual improvement project
- Apply relationship-building values and the principles of collaboration to identify, acquire, analyze and apply data resources to the team’s improvement goals
This activity will be a live virtual meeting.
Thomas Jefferson University endorses the ACCME Standards for Commercial Support: Standards to Ensure Independence in CME Activities and the policies that supplement the Standards. All planners, faculty, authors, presenters, and content reviewers are required to disclose any relevant financial relationships with ACCME defined commercial interest entities within the past 12 months. Any conflict of interests have been resolved prior to this educational activity.
All faculty/presenters/authors at Thomas Jefferson University sponsored events are required to disclose whether or not their content contains information of commercial products/devices that are unlabeled for use or investigational uses of products not yet approved. Product(s) is/are not included in the labeling approved by the US FDA for the treatment of disease(s).
Such disclosures will be available prior to the start of the activity. Jefferson Conflict of Interest resolution process may result in changes to the program agenda.
No member of the planning committee have any conflict of interest to disclose.
Ellen Guarnieri, RN, MHSA, CPHQ, FACHE
Mary Reich Cooper, MD JD
Richard Hass, PhD
The following presenters have no conflict interest to disclose.
Harm Scherpbier MD
In support of improving patient care, Thomas Jefferson University 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.
Physicians: The Thomas Jefferson University designates this educational activity for a maximum of 3.25 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Nurses: This activity awards 3.25 nursing contact hours.
Other Healthcare Professionals: This educational activity is designated for 3.25 AMA PRA Category 1 Credits™.
OTHER CREDIT TYPES
PA PATIENT SAFETY AND RISK CREDIT
This activity qualifies for 3.0 PA Patient Safety and Risk credits. The following sessions qualify:
- Healthcare Data Analytics
- Determining Your Project Deliverable: Case Presentations
- Breakout Sessions: Organizational Data Request Process and Tools
- 3.25 AMA PRA Category 1 Credit™
- 3.25 Attendance
- 3.25 CNE