EnsoTherapy

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

  • Reduce time spent on patients who will reach 90-day compliance without intervention

  • Improve compliance by focusing on patients who need support

  • Increase coach-to-patient ratios and ability to manage more patients

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.”

AI-Powered Priority and Task Compliance Management

EnsoTherapy prediction adherence technology identifies data or therapy issues based on a patient’s PAP machine usage. Examples of data used to generate tasks include (but are not limited to):

  • Missing data

  • Mask leak

  • Nightly usage trends

  • Apnea Hypopnea Index (AHI)

  • Central Apnea Index (CAI)

  • Compliance status

Single Patient View Examples

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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

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

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