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558 - Speech Recognition and AI: Enhancing Clinical Workflows in Healthcare
Manage episode 509123357 series 2628426
In this episode of Talking HealthTech, Peter Birch speaks with Ricardo Herreros-Symons, Chief Strategy Officer at Speechmatics, about the evolving role of speech-to-text technologies and AI-driven ambient scribing in the healthcare sector.
Ricardo shares insights from his 11 years at Speechmatics, discussing the challenges and opportunities of adapting speech recognition for medical applications, the move toward innovative AI solutions, and the importance of accuracy, privacy, and regulatory compliance in handling sensitive healthcare data.
Key Takeaways:
🎤 Speech-to-Text in Healthcare: Speechmatics, while established in media, live captioning, and government, has recently seen growing demand in healthcare, driven by clinicians' needs rather than top-down mandates.
🩺 Ambient Scribing and Clinician Workflow: There is a shift from manual transcription—where secretaries or clinicians would type up notes—to AI-powered tools that can automatically transcribe and structure patient conversations, improving efficiency and reducing clinician cognitive load.
🎯 Accuracy and Context: In healthcare, accuracy is critical due to the potential for life-or-death consequences. Effective speech recognition requires comprehensive vocabularies, the ability to handle diverse accents, and context awareness to distinguish medical terminology.
🤝 Collaborative Role in Solution Delivery: Speechmatics provides foundational transcription technology behind the scenes, enabling ambient scribing platforms and EMR providers to build workflow solutions tailored for their users.
🌍 Language and Localisation: Healthcare consultations occur in many languages, requiring multilingual speech recognition models. Ricardo discusses how existing language models often excel in English but may need translation pipelines and continued development for long-tail languages.
🔒 Privacy and Regulation: Sensitive healthcare data requires robust privacy controls and compliance with regulations like ISO 27001 and HIPAA. Deployment options include on-premise and on-device solutions to meet varying security needs.
🚀 The Future of Voice AI in Healthcare: There is a growing acceptance of AI in patient interactions, particularly among younger demographics who are comfortable with bots. Voice agents and further AI integration are seen as significant opportunities for the future of healthcare technology.
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
579 에피소드
Manage episode 509123357 series 2628426
In this episode of Talking HealthTech, Peter Birch speaks with Ricardo Herreros-Symons, Chief Strategy Officer at Speechmatics, about the evolving role of speech-to-text technologies and AI-driven ambient scribing in the healthcare sector.
Ricardo shares insights from his 11 years at Speechmatics, discussing the challenges and opportunities of adapting speech recognition for medical applications, the move toward innovative AI solutions, and the importance of accuracy, privacy, and regulatory compliance in handling sensitive healthcare data.
Key Takeaways:
🎤 Speech-to-Text in Healthcare: Speechmatics, while established in media, live captioning, and government, has recently seen growing demand in healthcare, driven by clinicians' needs rather than top-down mandates.
🩺 Ambient Scribing and Clinician Workflow: There is a shift from manual transcription—where secretaries or clinicians would type up notes—to AI-powered tools that can automatically transcribe and structure patient conversations, improving efficiency and reducing clinician cognitive load.
🎯 Accuracy and Context: In healthcare, accuracy is critical due to the potential for life-or-death consequences. Effective speech recognition requires comprehensive vocabularies, the ability to handle diverse accents, and context awareness to distinguish medical terminology.
🤝 Collaborative Role in Solution Delivery: Speechmatics provides foundational transcription technology behind the scenes, enabling ambient scribing platforms and EMR providers to build workflow solutions tailored for their users.
🌍 Language and Localisation: Healthcare consultations occur in many languages, requiring multilingual speech recognition models. Ricardo discusses how existing language models often excel in English but may need translation pipelines and continued development for long-tail languages.
🔒 Privacy and Regulation: Sensitive healthcare data requires robust privacy controls and compliance with regulations like ISO 27001 and HIPAA. Deployment options include on-premise and on-device solutions to meet varying security needs.
🚀 The Future of Voice AI in Healthcare: There is a growing acceptance of AI in patient interactions, particularly among younger demographics who are comfortable with bots. Voice agents and further AI integration are seen as significant opportunities for the future of healthcare technology.
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
579 에피소드
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