– Executive Report
How AI, ML, and NLU Can Reduce Provider Burnout
High administrative burdens are a top driver of burnout. Did you know that the average provider spends 12-15 minutes documenting progress notes for every 45-60 minute session? That's one session's worth of time spent on ops for every four sessions delivered.
We can't afford to keep burdening clinicians with this work. The good news is, there is technology that can help. Learn more in our latest white paper.
The challenge of provider burnout is growing
In 2018, the American Psychological Association estimated that 21–61% of mental health practitioners were burning out. And when the APA conducted a follow-up study in 2020, the percentage of providers that screened positively for burnout symptoms had shot up to 78%. This is contributing to high vacancy rates that can range from 20%-40% or more. In addition to impacting access to care, burnout can impact quality of care for the people you serve.
Download this paper to learn:
- How advances in AI, machine learning (ML), and natural language understanding (NLU) help organizations to interpret, analyze, and document behavioral health conversations automatically
- How to reduce the time providers spend on progress note documentation by over 30%
- How to identify and track the use of 30+ evidence-based therapeutic approaches and techniques related to CBT, MI, DBT and ACT
- How leadership teams can improve supervision and training through unprecedented visibility into staff activity, caseloads, performance, and population health
Learn how Eleos helps providers focus on care
The more people keep pouring in, the more operations keep piling up, swallowing every waking hour clinicians have. Ops are essential. But we can’t let operations get in the way of what matters most: providing the care that everybody deserves. Contact us to learn how we can help.
