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PodcastThe Signal Room

Why Patient Care Is Suffering (And How to Fix Your Workflow) | Ted Lindsley

Friday, August 21, 2026

Referenced in Daily Briefing

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AI in PracticeAround 29:50

The speaker reports that 85% of healthcare AI initiatives have failed to meet expectations due to poor data quality, with some estimates suggesting up to 95% failure rates.

They're hanging their hopes and dreams on AI right now, because it sounds like a magic bullet solution. Right. It's nothing new. Um, 85%, I don't know if you knew this, 85% of all healthcare AI initiatives have failed. Some of them are suggesting up to 95%. Failed to uh meet expectations. Why? The data. Because you give it crappy data and garbage in, garbage out

Send us Fan MailHealthcare organizations continue to invest in data platforms, integration tools, and AI initiatives, yet many still cannot move trusted information across the enterprise or turn it in...

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Send us Fan MailHealthcare organizations continue to invest in data platforms, integration tools, and AI initiatives, yet many still cannot move trusted information across the enterprise or turn it into timely decisions. Ted Lindsley, CEO of CognomIQ, joins Chris Hutchins in Dallas to examine why healthcare data integration keeps breaking down — and what leaders should demand from the systems and vendors responsible for fixing it.Chapters:00:00 – The Signal Room opening and welcome from Dallas01:06 – How Ted Lindsley arrived in healthcare01:51 – Why he avoided healthcare for 30 years03:49 – The payroll test for broken business processes07:06 – EHR constraints, bolt-on tools, and vendor lock-in08:49 – How organizations become accustomed to a broken system11:44 – Predictive analytics before the AI conversation13:48 – Buy results, not hopes and promises14:31 – Guarantees, architecture, and vendor sprawl19:58 – Relationships, trust, and long health-technology sales cycles21:14 – What happens the first time a clinician touches a tool22:42 – The standard for near-real-time healthcare data27:37 – The cost and consequences of legacy decisions31:11 – Why proofs of concept do not become operational capabilities34:36 – Acquisitions, standardization, and governance35:50 – Accountability when technology fails to deliver37:56 – What finance teams can teach healthcare about standardization40:59 – Dashboard sprawl and the burden placed on physicians42:53 – The closing test: doing it because it is the right thing🎧 Listen on Apple/Spotify: signalroompodcast.com📨 The AI Health Pulse newsletter: signalroompodcast.com/newsletter💼 Hutchins Data Strategy: hutchinsdatastrategy.comGuest: Ted Lindsley — linkedin.com/in/tedlindsleydfwHost: Christopher Hutchins — calendly.com/chris-hutchinsdatastrategy📘 Beneath the Signal, Chris's book on the human work behind trusted data and responsible AI in healthcare: Get it on AmazonSupport the showAbout The Signal Room: The Signal Room is a podcast and communications platform exploring leadership, ethics, and innovation in healthcare and artificial intelligence. Hosted by Christopher Hutchins, Founder and CEO of Hutchins Data Strategy Consultants. Leadership, ethics, and innovation, amplified.Website: https://www.hutchinsdatastrategy.com LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/ YouTube: https://www.youtube.com/@ChrisHutchinsAiBook Chris to speak: https://www.chrisjhutchins.com

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