Patient and Family Engagement: HCAHPS and the Role of Flex

Event Details
Thursday, February 15, 2018
2:00pm CST
Host: 
Stratis Health

This Medicare Beneficiary Quality Improvement Project (MBQIP) Virtual Knowledge Group (VKG) webinar will provide a networking opportunity for state Flex Programs to discuss HCAHPS performance data and patient and family engagement.

Learning objectives include:

  • Learn about how Flex Programs are setting goals with data from Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) data
  • Hear about the Kansas Flex Program Patient Satisfaction Learning Community project and related resources
  • Discuss promising practices for HCAHPS improvement

In addition, the Rural Quality Improvement Technical Assistance Center (RQITA) will provide updates on an electronic clinical quality measures (eCQM) pilot and the Abstracting for Accuracy project.

MBQIP VKG webinars are intended to provide a forum for state Flex Program personnel and subcontractors to share MBQIP successes, discuss challenges and brainstorm strategies to assist hospitals toward reporting, participating, improving and excelling across the four quality domains of patient safety, outpatient care, patient engagement and care transitions. Topics for discussion are determined based on MBQIP Data Reports, technical assistance trends and requests.

Duration: 90 minutes

Intended audience:
State Flex Program personnel
State Flex Program designated subcontractors

For more information, please contact:
Jodi Winters
(952) 853-8513
jwinters@stratishealth.org

This project is/was supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under grant number UB1RH24206, Information Services to Rural Hospital Flexibility Program Grantees, $1,100,000 (0% financed with nongovernmental sources). This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.