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AI in behavioral health
Reimagining the Clinician + AI Partnership

As someone who has spent years in the trenches of behavioral health leadership, I’ve watched our field wrestle with an increasingly complex challenge: how do we provide the personalized, comprehensive care our patients deserve when our time and resources are stretched impossibly thin?

The average behavioral health clinician today is carrying an impossible workload. Between crafting individualized treatment plans, documenting patient interactions, monitoring medication adherence, tracking patient progress, and managing administrative requirements, we’re asked to be part clinician, part data analyst, part administrative coordinator, and part mind reader.

The Human at the Center, with AI as a Collaborative Partner

AI is not a magic solution. What I’m proposing is something more nuanced: AI as a collaborative partner that augments our clinical expertise rather than attempting to replace it.

Imagine an AI assistant that doesn’t just crunch numbers, but actually understands the intricate landscape of behavioral health. A tool that could:

  • Analyze treatment histories of similar patients to help inform personalized care strategies
  • Automatically draft comprehensive, accurate clinical notes that capture the nuance of each patient interaction
  • Proactively flag potential medication interactions or side effects based on real-time patient data
  • Help track patient progress between appointments, identifying early warning signs that might otherwise go unnoticed

This is about giving clinicians superpowers – the ability to see patterns, anticipate needs, and spend more quality time doing what we entered this field to do: truly connect with and help their patients.

The Workflow Revolution Goes From Administrative Burden to Clinical Insight

How many hours do we lose each week to paperwork that takes us away from patient care? Current estimates suggest clinicians spend nearly 50% of their time on documentation and administrative tasks.

An AI partnership could fundamentally transform that equation. By automating documentation, providing predictive insights, and streamlining patient monitoring, we could reclaim those hours and redirect them toward meaningful clinical interactions.

Building Trust is The Critical Human Element

What I can hear from many clinicians – “Another tech solution that doesn’t understand the complexity of what we do.” And you’re right to be skeptical. The most successful AI tools won’t be developed in a tech bubble, but through deep collaboration with clinical professionals who understand the intricate dance of patient care. I co-founded Videra in part for this reason specifically – so I can help be that clinical voice in the room as we develop tools to help other clinicians.

This means AI development must be:

  • Transparent about capabilities and limitations
  • Rigorously tested in real-world clinical environments
  • Designed with robust privacy and ethical considerations
  • Continuously refined through clinician feedback

An Invitation to Collaborate

Technology isn’t replacing human connection. Technology enhances our capacity for connection. As someone who has led clinics and understands the daily challenges clinicians face, I see immense potential in a thoughtful, collaborative approach to AI integration.

For my fellow clinicians, what are your hopes? Your concerns? Your vision for how technology can support the incredible work we do?

The future of behavioral health isn’t about choosing between human expertise and technological innovation. It’s about creating a partnership that amplifies our most fundamental goal: providing compassionate, personalized care that truly helps our patients thrive.

What are your thoughts? Join me on LinkedIn to discuss.

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