Session ID: 
235

Driving Real World Insights and Smarter Care Through AI/ML and NLP

11:30am - 12:30pm Thursday, March 12
Orlando - Orange County Convention Center
W206A

Description

Do medical products work as intended in the real world? What variables impact effectiveness? Can we predict which products will work better for certain patients? St. Louis-based Mercy health system set out to answer these kinds of questions, pioneering Unique Device Identification (UDI) for tracking medical device performance. Scanning barcodes, Mercy delivers device information into the electronic record for longitudinal insight into device effectiveness. Mercy and its IT arm Mercy Technology Services (MTS) have built out a data platform, machine learning and NLP capabilities to harness Real World Evidence (RWE) for driving improved outcomes and more informed care. Leveraging a high-efficiency infrastructure to shift the focus from data management to intelligence gathering, this cross-industry collaboration is answering the questions that lead to improved products and patient outcomes - core to Mercy’s mission to pioneer a new model of care.

Learning Objectives

  • Identify key challenges in making full use of EHR data, including how to gain access to up to 80% more data with NLP
  • Outline the infinite research possibilities when longitudinal, de-identified EHR data, claims and more is combined with product-specific data
  • Discuss how to design curated data sets and dynamic RWE insights to answer research questions as they arise
  • Discuss examples of how cross-industry research collaborations between Mercy and device makers, which includes the use of NLP and Machine Learning, can lead to better products and improved patient outcomes
  • Describe the role of data management infrastructure in improving stability, performance and setting the stage for intelligence gathering

Speaker(s)

VP of Data Analytics,
Mercy Technology Services
Director of Data Science,
Mercy Technology Services

Audience

Life Sciences Professional
Pharmacy Professional
Research and Development Professional

Level

Intermediate