AI & Data Science

Rajaie Batniji

Hannah Ratcliffe

Waymark

Sonia Koesterer

Sanjay Basu and Aaron Baum

Sanjay Basu

Sadiq Patel

Rajaie Batniji and Sanjay Basu

Afia Asamoah

Kiiera Robinson

Reaching Patients in the Critical Moment: Waymark’s Approach to AI & Rising Risk

For many rising risk patients, there is often a critical window of time to reach and engage them before their health changes for the worse — and they end up in the ED or hospital as a result. Rather than focusing solely on addressing the needs of high-cost claimants, we prioritize reaching and engaging rising risk patients before they cross into that category.

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The Randomized Trials That Underpin Waymark's Care Model

Randomized controlled trials (RCTs) are the gold standard for identifying the strongest evidence for clinical practice. At Waymark, we rely on rigorous RCTs to define the detailed protocols and processes we deploy as our care model.

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Helping People with Asthma and COPD During Periods of Heavy Smoke Exposure

The threats of wildfire season are serious for those with underlying respiratory disease, but with the right resources and support, their health impacts can be managed.

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Empowering Community-Based Care Teams with Participatory Software Design

Based on extensive user research and our team's deep experience in healthcare software design, engineering, and product development, Waymark's internal software platform is intentionally designed to amplify the impact of hyperlocal programs.

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Our approach to tech and data science at Waymark

The challenge of building modern healthcare technology is to communicate with the existing healthcare system we are a part of.

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Reaching Patients in the Critical Moment: Waymark’s Approach to AI & Rising Risk

The Randomized Trials That Underpin Waymark's Care Model

Helping People with Asthma and COPD During Periods of Heavy Smoke Exposure

Empowering Community-Based Care Teams with Participatory Software Design

Our approach to tech and data science at Waymark

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