AI & Data Science

How Waymark Signal™ Identifies Prenatal Care Coordination Opportunities – and Prevents Adverse Outcomes

How Waymark Reduces Emergency Visits by Learning from Real Care Management Decisions

Prioritizing Ethical AI Use in Medicaid: Waymark’s Human-Centered Approach

New Whitepaper: Preventing High-Cost Emergency Care Through Predictive Models for Medicaid Population Health

How Prioritizing Patients Based on Likelihood to Benefit from an Intervention Ensures Targeted Patient Care

Recap: AcademyHealth Annual Research Meeting

How AI can help bring better care to Medicaid patients

Many Medicaid patients have fragmented, disorganized records that make it hard to provide them care. Carefully designed AI can help.

Simulating A/B testing versus SMART designs for LLM-driven patient engagement to close preventive care gaps

From Veneers To Value: Data Science Can Enable High-Value Care In Medicaid

In a new article for Health Affairs, Waymark co-founders Rajaie Batniji and Sanjay Basu and VP of Data Science and AI Sadiq Patel discuss how data quality issues and insufficient integration of clinical and social risk factor data have limited the ability of Medicaid programs to proactively identify and deliver targeted interventions to at-risk patients.

Recap: AcademyHealth Annual Research Meeting

Waymark’s Data Science team, led by Sadiq Patel and Bhairavi Muralidharan, were in attendance at Academy Health's Annual Research Meeting. These are their top takeaways.