Session ID: 
151

Incentivizing Change: The Impact of SDOH Using Blockchain Technology

11:30am - 12:30pm Wednesday, March 11
Orlando - Orange County Convention Center
W414A

Description

There are growing initiatives and calls for focusing greater attention to social determinants of health and their impact on population health. Several emerging strategies are being used to begin to address social determinants, such as the use of health impact assessments and applying "health in all policies". These strategies and tools are being implemented in an effort to review existing and needed policies, as well as propose new policies to lessen health disparities. Efforts to further integrate social determinants of health through the use of health information technology and other emerging technologies, such as distributed ledger technology both in and outside of existing health care systems are also increasing. Understanding and addressing the social determinants of health through both traditional and non-traditional sectors is key to further reducing health disparities. With secure technology and encryption mechanisms, blockchains give rise to a new era of digital healthcare technologies with improved access to patient data. The harmonization of this data could have large, positive benefits to supporting the social determinants of health. Through patient consent and partnership with key healthcare provider and payor stakeholders, a union of electronic medical record, claims, and social determinants information will allow for scientific analysis examining patient needs, intervention effectiveness, and insights into the needed evolution of healthcare to consider both clinical and social determinants to address the needs of the Medicaid population.

Learning Objectives

  • Assess new technologies and standards that will drive interoperability, extensibility and scale for integration of SDOH data into patient care
  • Analyze current challenges to accessing social determinants of health data
  • Identify opportunities for patient populations and the role of predictive data risk management on improving care
  • Debate the next wave of SDOH use cases and applications that widespread blockchain adoption will be able to support

Speaker(s)

Data Science Leader,
Moda Health
Professor and Chair, Department of Medical Informatics & Clinical Epidemiology,
Oregon Health & Science University

Continuing Education Credits

ABPM
1.00
ACHE
1.00
CAHIMS
1.00
CME
1.00
CNE
1.00
CPHIMS
1.00

Audience

CIO/CTO/CTIO/Senior IT
CEO, COO
Population Health Management Professional

Level

Intermediate