How AI, ML, and NLU Can Reduce Provider Burnout in Behavioral Health
Download this executive report to get a high-level overview of how provider burnout and turnover are impacting behavioral healthcare today – and what you can do to get ahead of it.
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Provider burnout is on the rise and costing billions.
96% of medical professionals across the U.S. agree that burnout is a serious and growing problem. The costs of inaction are so high that we can’t afford to ignore the problem any longer.
This report digs into the true cost of provider burnout and explores the reasons burnout has accelerated in behavioral health since the start of the pandemic.
Learn about top reasons providers report burnout, including a lack of process efficiency, a lack of control over work-life balance, and a lack of consensus surrounding best practices.
Get ideas for improving outcomes with emerging technologies including artificial intelligence, machine learning, and natural language processing.
Behavioral Health Burnout by the Numbers
In 2018, the American Psychological Association estimated that 21–61% of mental health practitioners were burning out. In 2020, that number shot up to 78%.
90% of providers report feeling burnout.
Top contributors to provider burnout include lack of training, tools that inhibit the quality of care they’re able to provide, and feeling a lack of autonomy.
63% of providers report feeling isolated.
Workplace changes during the COVID-19 pandemic likely cause fewer opportunities for socialization and meaningful interactions.
45% of providers agree their workload impacts care.
From inefficient tools to a lack of control over their workload, providers increasingly report that they feel they’re unable to do their jobs to the best of their ability due to their workload.
