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In this episode of Talking HealthTech, host Peter Birch speaks with Kai Van Lieshout, cofounder and CEO of Lyrebird Health, about the rise of AI scribe technology in healthcare.
The discussion explores the growing role of artificial intelligence in reducing clinicians' administrative workload, AI in primary care consultation workflows, data privacy considerations, practical realities of adopting AI scribes, and documentation automation in medical practice.
Key Takeaways
š AI Scribes in Healthcare: AI scribes can speed up medical workflows by automating notetaking and document generation, significantly reducing clinicians' time on paperwork.
š Integration with Practice Management Systems: Deep integration between AI scribe solutions and existing electronic medical records or practice management software makes deployment seamless and more valuable for clinicians.
š¤ Patient Experience and Consent: Patient acceptance of AI scribes in consultations is high when doctors explain the benefit of improved attention; information transparency builds trust.
ā Trusted AI Outputs: AI scribe recommendations and extractions are verified against patient records to ensure accuracy. The final responsibility and liability remain with the clinician, making trusted system design important.
š Choosing the Right AI Scribe: Key decision factors are data sovereignty, product integrations, and how well the AI matches and represents a clinicianās documentation style.
Check out the episode and full show notes on the Talking HealthTech website.
Loving the show? Leave us a review, and share it with someone who might get some value from it.
Keen to take your healthtech to the next level? Become a THT+ Member for access to our online community forum, meet ups, special offers and more exclusive content. For more information visit talkinghealthtech.com/thtplus
By Talking HealthTech4.2
55 ratings
In this episode of Talking HealthTech, host Peter Birch speaks with Kai Van Lieshout, cofounder and CEO of Lyrebird Health, about the rise of AI scribe technology in healthcare.
The discussion explores the growing role of artificial intelligence in reducing clinicians' administrative workload, AI in primary care consultation workflows, data privacy considerations, practical realities of adopting AI scribes, and documentation automation in medical practice.
Key Takeaways
š AI Scribes in Healthcare: AI scribes can speed up medical workflows by automating notetaking and document generation, significantly reducing clinicians' time on paperwork.
š Integration with Practice Management Systems: Deep integration between AI scribe solutions and existing electronic medical records or practice management software makes deployment seamless and more valuable for clinicians.
š¤ Patient Experience and Consent: Patient acceptance of AI scribes in consultations is high when doctors explain the benefit of improved attention; information transparency builds trust.
ā Trusted AI Outputs: AI scribe recommendations and extractions are verified against patient records to ensure accuracy. The final responsibility and liability remain with the clinician, making trusted system design important.
š Choosing the Right AI Scribe: Key decision factors are data sovereignty, product integrations, and how well the AI matches and represents a clinicianās documentation style.
Check out the episode and full show notes on the Talking HealthTech website.
Loving the show? Leave us a review, and share it with someone who might get some value from it.
Keen to take your healthtech to the next level? Become a THT+ Member for access to our online community forum, meet ups, special offers and more exclusive content. For more information visit talkinghealthtech.com/thtplus

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