How AI Is Making Hospital Clinical Trials Smarter and Faster

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How AI Is Making Hospital Clinical Trials Smarter and Faster

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Episode 73 of Healthtech Talks with Fexingo dives into how artificial intelligence is revolutionizing the design and execution of clinical trials in hospitals. Lucas and Luna explore how AI is slashing patient recruitment timelines by predicting which patients are most likely to qualify and adhere to trial protocols. They unpack a real-world example: a mid-size hospital in Ohio that used an AI matching tool to cut enrollment time for a phase 2 diabetes trial from 14 months to just 5. They also discuss how natural language processing is mining electronic health records to clean messy data, reducing the administrative burden on research coordinators. The hosts touch on the ethical considerations around algorithmic bias in trial selection and how regulators like the FDA are cautiously embracing these tools. If you work in healthcare operations, R&D, or hospital administration, this episode delivers a specific look at how AI is changing the economics and speed of bringing new treatments to patients. #ClinicalTrials #AIinHealthcare #PatientRecruitment #HospitalTech #Healthtech #DigitalHealth #MedicalAI #TrialOptimization #NLP #ElectronicHealthRecords #FDA #DiabetesTrial #OhioHospital #BusinessPodcast #FexingoBusiness #HealthtechTalks #AIinMedicine #ClinicalResearch Keep every episode free: buymeacoffee.com/fexingo

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