Clinical Reasoning in Healthcare

About this episode

Mehmet Kazgan discusses the importance of clinical reasoning in healthcare AI and how cliexaAI improves decision-making for clinicians.

Mehmet Kazgan, Founder and CEO of cliexa, joins Avrohom Gottheil on #AskTheCEO to discuss what is missing in healthcare AI today: clinical reasoning. We explore how cliexaAI — trained on 12M+ real patient data points over nine years and qualified on Mayo Clinic Platform — predicts risk, reduces opioid prescriptions, and helps clinicians make informed decisions at the point of care. Topics covered: 00:00 Introduction 00:46 The gap in healthcare AI today — clinical reasoning 02:57 Why proactive opioid risk prediction matters 05:25 How cliexaAI provides risk factors alongside predictions 06:46 Why custom-trained models outperform general-purpose AI 09:39 Closed-loop datasets vs publicly trained models 13:08 Mayo Clinic Platform qualification — three years of validation 15:51 How cliexaAI works — containerized, behind the EMR 17:55 Human in the loop explained 25:04 Nine years of building — from smart intake to clinical intelligence 27:02 Beyond OUD — cardiovascular, chronic kidney disease, eating disorders 34:21 Real-world results: 35% decline in opioid Rx, 272% revenue increase 37:13 Third scientific paper approved by International Journal of Eating Disorders 39:15 Responsible AI —…

People in this episode

Guest: Mehmet Kazgan

Topics covered

• clinical reasoning
• healthcare AI
• opioid risk prediction
• custom-trained models
• closed-loop datasets
• Mayo Clinic Platform
• responsible AI

Keywords

• cliexaAI
• risk factors
• clinical intelligence
• real-world results

Mentioned in this episode

Products: cliexaAI

Books & works: #AskTheCEO

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