229 - Preparing for Value-Based Care: Measurement, Documentation, and Analysis of Patient Outcomes
Level of Instruction:
Saturday, September 30, 2023
10:30 AM – 11:30 AM MDT
Location: Cottonwood 1
Session Description: With the release of CMS's Behavioral Health Strategy, pending legislation, and expanded federal health equity actions, more emphasis will be placed on outcome data. Initial guidance exists, including best practices from the NAATP Outcomes Pilot Program and the Foundation for Recovery Science and Education (FoRSE) initiative. However, the types and extent of data required are likely to expand; additional compliance requirements will come with this expansion, increasing provider demands. Despite numerous studies reflecting the value of measure-based care (MBC) and current Joint Commission standards for the inclusion of a standardized tool to monitor patient progress, providers are slow to change. While clinicians identify multiple MBC benefits, including improved communication and client empowerment, less than 20% are integrating MBC into their practice. During this session, experts in outcome data collection and analysis will present best practices and innovation efforts underway to help behavioral health providers to: • Localize outcome measurement to drive visibility into facility-level performance • Leverage benchmark data to understand performance in the larger community context • Drive adoption of MBC using best practices in clinician engagement, adoption, and technology requirements • Develop a robust data and analytics approach that will enable success under fee-for-service and value-based models • Outline the critical technology requirements for an effective MBC program • Describe the data and analytics infrastructure required to collect, manage, store, and analyze complex outcomes data
Learning Objectives:
After this activity participants should be able to
Develop and deploy a system-wide outcomes initiative that establishes program goals, enables stakeholder engagement, and drives organizational change
Identify and operationalize the facility, provider, and patient-level data types required to report on outcomes, access, and equity
Describe the data and analytics infrastructure required to collect, manage, store, and analyze complex outcomes data