WED-083 - Connecting People, Data and Knowledge to Improve Maternal and Infant Care

Brief Abstract Summary: Learn about the creation of a perinatal collaborative of 240 geographically representative hospitals in the United States focused on improving healthcare for birthing people and their infants by scaling evidence-based practices. Attendees will learn how competitive intelligence and effective data architecture enable scaling analytical solutions that encompass hospital-and-system-level performance, patient detail, racial and ethnic disparities, and national benchmarking. Additionally, attendees will understand the importance of quantitative and qualitative data collection and analysis for the comparison of clinical processes and procedures to standardized evidence-based care practices.

Detailed abstract description:

Description:
In the US, maternal and infant morbidity and mortality remains a salient public health concern affecting approximately 50,000 birthing people annually with significant racial and ethnic disparities. However, it is estimated that over 80% of these deaths are preventable. Despite this crisis in care, there has been no nationwide, standardized, comprehensive data-driven approach to address the evidence-based drivers of this issue. This gap has led to the creation of a perinatal collaborative of 240 geographically representative hospitals in the United States focused on improving healthcare for birthing people and their infants by scaling evidence-based practices. In line with the data-centered solutions focus of this collaborative, Premier has rolled out a suite of tools capable of taking on such a complex problem by integrating data across settings, connecting outcomes between birthing people and their babies, and addressing health equity by identifying social drivers of health.

Methods/Approach:
Premier began this process with a small-scale collaborative to hone the analytical solutions. Using competitive intelligence, user testing, and effective data architecture to provide analysis of hospital- and system-level performance, patient detail, racial and ethnic disparities, and national benchmarking, the team developed then scaled dashboard solutions to expand these efforts to support hundreds of hospitals. In addition to the collection and analysis of quantitative data, qualitative data was assessed through a perinatal implementation assessment allowing for the comparison of clinical processes and procedures to standardized evidence-based care practices. The power of the collaborative offers hospitals the opportunity to collaborate regularly within this unique cohort to share best practices, improve knowledge, and actively work on advancing the implementation and expertise of a particular focus area.

Results/Findings:
To capture the many aspects of this complex problem, we measured implementation of evidence-based practices, team culture, and patient outcomes. Evidence-based practices and over 100 patient outcomes across 20+ clinical focus areas were captured to encompass the breadth of work already taking places at hospitals and strive for the highest quality of care possible. The collaborative aligned qualitative and quantitative data to target key metrics that support organizational quality improvement. Since the collaborative is ongoing, the ultimate impact is still undetermined, but we have seen improved implementation of clinical best-practices, increased knowledge sharing between hospitals, a focus on centering patient voices, and more robust data solutions.