Session ID: 
159

Predictive Analytics for Data-Driven Care Management

2:30pm - 3:30pm Wednesday, February 13
Orlando - Orange County Convention Center
W208C

Description

Beth Israel Deaconess Care Organization (BIDCO) is a leading, value-based accountable care organization with 2,500+ physicians caring for 200,000+ patients in the greater Boston area under five risk-based contracts. BIDCO had a vision for a care management program that would use predictive analytics to identify patients most likely to benefit; provide tools to ensure thorough, consistent patient assessment and care planning; and automate workflows to help nurses operate at the top of their licensure. To realize that clinical vision, BIDCO leveraged its information and technology investment in an enterprise clinical data asset and its expertise in designing data-driven clinical workflows. In this case study, BIDCO’s CMO and CIO will explain how their IT-clinical partnership enabled them to roll out an innovative, analytics-driven approach to care management.

Learning Objectives: 

  • Describe the challenges with a traditional approach to managing care management workflows
  • Assess factors that can be used in a predictive algorithm to determine whether a patient will benefit from a care management program
  • Recognize the importance of an underlying, high-quality data asset to a data-driven care management program
  • Evaluate benefits of standardizing patient assessment and care planning tools across a large care management staff
  • Illustrate the importance of clinical-IT partnership at every stage of a transformational project

Speaker(s): 

Chief Medical Officer,
Beth Israel Deaconess Care Organization
Chief Information Officer,
Beth Israel Deaconess Care Organization

Audience: 

CIO, CTO
Chief Quality, Chief Clin Transformation Officer
CMIO/CMIO

Level: 

Intermediate