RECORDED WEBINAR: AI Triage in Action: Using Predictive Intelligence to Personalize VBC Pathways at Scale

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 Download Slides (will be available soon) Value-based care providers face mounting pressure to deliver better outcomes while lowering costs. But with limited time, staffing and resources, how can providers identify which patients need the most attention—and what interventions will make the greatest impact? This webinar explores how VBC providers can combine AI-driven predictive analytics…

RECORDED WEBINAR: Transforming Care Management with AI – Risk Stratification & Predictive Modeling for Better Health Outcomes

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 Download Slides Exploring how AI-driven analytics can transform care management through focus on Population Health Risk Stratification and Predictive Modeling. We will discuss how advanced data science techniques using Electronic Health Records (EHR) and claims data provides us an opportunity to perform risk stratification to help identify high-risk populations, predict adverse health events, and…

How Can EHRs Support the Shift to Value-Based Care and Reduce Clinician Burnout?

Garrett Schmitt,

A webinar sponsored by Elation Health highlighted some of the challenges primary care practices face and how a more thoughtful, nuanced approach to health tech could transform healthcare practices. MedCity News Editor-in-Chief Arundhati Parmar moderated a conversation with Elation Health executives Dr. Sara Pastoor, head of primary care advancement, and Meaghan Sullivan, senior sales engineer….

The Vibe at ViVE: Health Tech Leaders Share Insights from AI to Value-based Care

Garrett Schmitt,

Executives from TailorCare, Altera Digital Health, and WiPro shared insights at the ViVE 2025 conference in Nashville. John Petito, TailorCare Chief Strategy Officer, talked about what sets the company apart, particularly its multi-pronged approach to specialty value-based care. TailorCare is focused on using PT to improve outcomes for patients with joint, back, and muscle conditions,…

Generative AI IDs social determinants in EHR notes: Mass General Brigham

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Generative artificial intelligence can identify social determinants of health within EHR notes, accurately and without bias, determining which patients might need extra support, according to Somerville, Mass.-based Mass General Brigham. The health system’s researchers fine-tuned large language models to automatically extract information about social determinants — factors such as housing, employment and family status that…

How NorthShore Uses AI, NLP to Tackle SDOH in the Emergency Department

Garrett Schmitt, ,

Identifying and tackling social determinants of health (SDOH) are crucial aspects of any health equity strategy. But establishing how best to capture patients’ SDOH needs and develop interventions in the clinical setting remains a significant challenge for many healthcare organizations. The United States Department of Health and Human Services (HHS) defines SDOH as “the conditions in the…

Using Social Determinants of Health Data in Machine Learning Reduced Bias

Garrett Schmitt, ,

Published in Circulation: Heart Failure, a recent study conducted by Northwestern Medicine researchers found that adding social determinants of health (SDOH) data into machine learning models led to less bias when predicting outcomes for heart failure patients. Healthcare bias can lead to detrimental outcomes for patients. For example, in April, a study published in PLOS digital health found that digital health…

Social Determinants Of Health In The Age Of Digital Healthcare

Garrett Schmitt, , , , ,

During the pandemic, health care providers and institutions ramped up innovative, sustainable and increasingly digital ways to improve population health outcomes, and I expect this trend to continue. For over 20 years, I’ve advised health care provider teams across the U.S. on leveraging and incorporating digital technology and tools like patient portals, health trackers and…