How are artificial and augmented intelligence redefining behavioral healthcare? Can AI improve behavioral healthcare outcomes? In a landscape of rapid advancements, it’s time to look ahead to the future of behavioral health technology.
Namely, the EHR is shifting from a place of static data collection to a voice-driven system. This transformative shift is taking the EHR from a cumbersome, time-consuming, and inefficient part of the provider’s daily workflow to a dynamic, user-friendly interface that allows providers to focus more on patient care.
AI-powered behavioral health software reduces manual burdens for clinicians and administrative staff while driving a patient-centered approach to care, ultimately leading to better patient outcomes.
Inside the Innovations: Hear It from the Experts
For the latest episode of the Perspectives podcast by Behavioral Health Business, I sat down with Jack Silverstein, director of the BHB Content Studio, to talk about the impact of AI on:
· Provider and administrative burdens
· Patient outcomes
· Ethical considerations
· The future of AI-powered behavioral health software
During this episode, we break down the rapid evolution of AI in healthcare, exploring how augmented intelligence improves provider efficiency in behavioral healthcare. We explore how natural language processors and AI-powered documentation reduce the time spent on manual data entry, allowing providers to be face-to-face with patients and minimizing their time spent completing charts after hours.
We further emphasize how AI-powered behavioral health software improves the full continuum of care by seamlessly integrating this technology throughout the patient care journey. We discuss how augmented and artificial intelligence support providers with pre-visit summaries, accurate documentation during a personalized care visit, and post-visit patient engagement and follow-up care.
Finally, we consider the future of AI-powered behavioral health software, noting a shift towards integrated, intelligent, and personalized service designed to meet the unique needs of individual practices.
Some additional highlights from this discussion include:
- Real-world examples of how AI streamlines workflows across behavioral health specialties
- Lessons learned from early adopters and advice for change management & adoption
- A look at current and future NextGen Healthcare and AI technology within the healthcare industry
If you're exploring how AI can fit into your organization’s clinical and operational strategies, this is a conversation you won’t want to miss. To learn more about our approach to Behavioral Health and our Best in KLAS Behavioral Health EHR, visit our website.
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