Treatment Innovation & Treatment Technology

Treatment technology is at the heart of fundamental restructuring of the health and human service system, particularly in sectors serving consumers with the most complex needs. Tech-enabled treatment has the potential to improve clinical decision making and consumer outcomes, as well as reduce unnecessary administrative burdens. Historically, the health and human service system does not have a great executive bench for understanding and assessing the plethora of new technology options—leaving the “science to service” gap larger than ever. However, as payers look for innovative approaches that go beyond traditional forms of treatment, provider organizations must step up to the challenge and leverage new technologies and virtual delivery systems that engage and empower consumers.

Latest Resources

• The AI Transformation
• MedWell Ai, Inc. Engages BrighterMD To Develop An AI-Enhanced Health & Wellness Telemedicine Platform
• Chaddock’s Developmental Trauma & Attachment Program Listed On California Evidence-Based Clearinghouse For Child Welfare
• Expanding The Alternatives
• Bring On The New Tools: Best Of The 2025 OPEN MINDS Aging In Place Summit
• Neo Sophia Launches Free AI Autism Screener Built on AAP-Recommended Guidelines
• Ultromics Raises $55 Million To Scale Its AI-Enhanced Cardiology Diagnostic Solution For Undiagnosed Heart Failure
• HOMEBASE Integrated Youth Services Hub Opens In Sturgeon Lake First Nation, Canada 
• The Loneliness Epidemic
• United We Care & Mason County, Washington, Unveil Mental Health Pilot Blending AI & Human Support
• Rush Connect Launches Suite Of Digital-First Care Options
• HealthArc & PatchRx Partner To Boost Medication Adherence In Pain Management
• The Chatbot Will See You Now
• AI In Behavioral Health: Ethics, Innovation, & Real-World Applications
• EHR Strategy in a Changing Behavioral Health Landscape: A Discussion with Brian Craft, Vice President of Product, Radicle Health

30% Of AI Pilots For Health Care Reach Production 

About 30% of artificial intelligence (AI) pilots intended for health care applications reach the production phase of the software development lifecycle, based on a recent survey conducted by Bessemer Venture Partners, Bain & Company, and Amazon Web Services. The survey respondents said that security, data readiness, integration costs, and limited in-house expertise affected whether a pilot reached production. However, 80% of surveyed leaders across the more than 400 included health care payers, provider organizations, and… Read

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