Leveraging Big Data to Inform Clinical Decisions and Drive Quality Improvement
Section: Section on Health Policy & Administration
Session Code: HP-2C-1629
Date: Friday, January 25, 2019
Time: 3:00 PM - 5:00 PM
Location: Walter E. Washington Convention Center
Session Type: Educational Sessions
Session Level: Intermediate
The purpose of this session is to educate physical therapists on how to use various sources of large data from payers and health care systems to inform clinical care decisions and drive innovative quality improvement efforts. The speakers will discuss how existing data, such as electronic health records (EHR) and nationally representative claims data, can provide rich sources of information to answer important clinical questions that require less resource demand than traditional clinical trials. Findings from this type of research will support clinicians' efforts to meet the demands of a rapidly changing health care delivery environment.The presenters will discuss their experiences in using large data sources to conduct health services research that promotes optimal physical therapy care delivery. Specifically, the presenters will detail how existing data can be used to identify variations in care delivery and patient outcomes in inpatient and outpatient settings; qualitative approaches to explain the variation observed and create resources for decreasing variation and improve care; how data can be used to drive innovations in quality improvement and measure meaningful health outcomes; and how an EHR system can be maximized to capture clinically meaningful data and patient-reported outcomes to improve care delivery.
Learning Objectives: Upon completion of this course, you will be able to:
1. Identify how Medicare claims data can be used to describe how timing of physical therapy impacts health care utilization and care delivery.
2. Describe how to identify variation in care delivery and how to use this information to guide next steps in care improvement efforts.
3. Describe how to most effectively utilize the data infrastructure and analytic resources within a health system to capture clinical data, including patient reported outcomes, beyond claims data to inform clinical decision making.
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