The shift to value-based reimbursement requires hospitals and health systems to take a more thoughtful approach to population health management. That requires developing robust analytics strategies to monitor the quality of care and help patients manage their chronic conditions.
To achieve this, provider organizations should adopt an enterprise-wide approach, focusing on integrating key data into clinical workflows to identify high-risk patients – and most importantly, providing proactive interventions. But of course, delivering the right data at the right time to the right patient is easier said than done.
We recently spoke with Brian Dixon, a research scientist at Indiana University’s Regenstrief Institute and interim director of Regenstrief’s Clem McDonald Center for Biomedical Informatics. He is a longtime leader in clinical data management and healthcare policy, and has focused on population health strategies for many years.
He discussed strategies to improve patient-provider collaboration and engage patients more closely in their care plans. And he suggested ways C-Suite leaders can support analytics for value-based care and how clinicians can better use the information – EHR and claims, data patient-generated health, social determinants – to inform their decision-making.
We also explore technology-enabled patient engagement strategies, how AI and automation can streamline clinical workflows and improve decision support – as well as how to prioritize the patient and provider experience.
This episode is brought to you by Wolters Kluwer.
Like what you hear? Subscribe to the podcast on Apple Podcasts, Spotify or Google Play!
Communication skill:
-
Regenstrief Institute mission and Dixon’s public health work at the Center for Biomedical Informatics
-
How patient engagement and experience fit into population health management
-
Remote patient monitoring, virtual care, patient-generated data, and social determinants of health
-
Encourage patients to become more actively involved in their own care and involve them in shared decision making
-
Combine EHR data with SDOH or PGDHD to better predict risk and prioritize interventions
-
How AI can help – and where providers should tread carefully
More information about this episode:
Regenstrief, IU implements public and population health program
AI-Enabled Analytics to Enhance Mass Health, Enhance Patient Safety HIMSS Davies Award Winner
Expand SDOH initiatives with analytics and coordinated workflows
Targeted analysis helps Canadian health care teams fight homelessness, boost SDOH
HIMSSCast: Harnessing EHR for population health insights
CDC awards $9 million for long COVID data system
Regenstrief launches SDOH data dissemination initiative
