Therapy Adherence

AI-Powered PAP Therapy Adherence Support

Managing PAP adherence for a large and growing patient population poses a significant challenge for DMEs and physicians.

Our therapy adherence prediction technology helps DMEs simplify the process of identifying the patients who need help the most.

Help the Right Patients at the Right Time

EnsoData’s cutting-edge technology predicts 90-day therapy adherence within days of sleep apnea patients starting treatment, equipping DMEs with the expertise to prioritize reaching out to the patients who need support most.

  • Eliminate the need for manual sorting through countless patients to identify and prioritize patient reach out

  • Equip support staff with actionable data to give personalized support to patients requiring intervention

  • Manage a growing patient population without additional staffing expense

Jessica Concepcion, RRT and Sleep Coach with over 9 years of experience supporting PAP therapy patients with national DME suppliers and with EnsoData

“Improving our patient prioritization allows us to reach out to those who need our expertise and support toward reaching the goal of using and benefiting from therapy. Initially, we had a high volume of patients that were not arranged in order of priority. As we worked through and reduced those tasks, I’ve noticed a huge difference in my ability to coach patients, and can now provide more quality time and coaching to focus on patient issues.”

The AI-Powered Prediction Advantage

Our innovative artificial intelligence (AI) models to predict PAP adherence have been developed on more than 250 million nights of PAP usage data across more than 147,000 unique patients.

In contrast to the traditional and time-consuming method of manually sorting through countless patients, our AI technology creates a task list of patients who require support to become adherent, so patient outreach is prioritized by those who need help most.

How Does AI-Powered Therapy Adherence Prediction Work?

  • EnsoData developed its AI models on more than 250 million nights of PAP data usage

  • EnsoData applies AI to daily PAP data to predict future therapy non-compliance

  • Tasks are created so the patient support team understands why the patient is struggling

  • The support task list is reprioritized daily based on newly predicted therapy non-compliance

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Read About Our Product Journey

Our strategic collaboration: EnsoData and React Health Partner to Use Predictive AI to Improve PAP Adherence

Our R&D: Deep Learning to Predict PAP Adherence in Obstructive Sleep Apnea

Chris Fernandez Headshot

Our Sleep Review interview: AI Predicts CPAP Adherence Within Weeks of Treatment

Justin Mortara, EnsoData CEO and President - horizontal

Our HME News in 10 Podcast interview: Justin Mortara on AI-Powered CPAP Therapy