22 min
432 - How AI is transforming EMR implementation. Dr Brian Zimmerman, Microsoft - Nuance Talking HealthTech
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- Technology
In this episode of Talking HealthTech, host Sophie Turner speaks with Dr Brian Zimmerman to discuss clinical AI-based speech recognition as a tool for healthcare to address workforce shortages, clinician burnout & digital transformation.
Dr Zimmerman, an expert in deploying speech recognition platforms in healthcare settings, shares insights from his experience transitioning hospitals to electronic health record (EHR) systems, the burden on healthcare providers inherent to these systems, and how integrating speech recognition technology can help alleviate these issues.
Key Takeaways:
- Speech Recognition in Healthcare: Dr Zimmerman highlights the significant impact of speech recognition technology like Dragon Medical One on healthcare providers' efficiency, particularly in reducing the clerical load and documentation errors associated with EHR systems.
- Global Health Issues and Technology Solutions: Similarities between healthcare challenges faced in the US, Australia, and globally, such as physician burnout and workforce shortages, are discussed, along with how technology can address these issues.
- Integrating Speech Recognition: The use of voice commands within Dragon Medical One to navigate EHR systems effectively is emphasized, including the automation of common workflow tasks which can significantly reduce the number of clicks and time spent on documentation.
- Future of AI in Healthcare: Dr Zimmerman speaks about the Dragon Ambient Experience (DAX), which uses AI to listen to patient visits and create structured clinical documentation automatically.
- Deployment of Speech Recognition: Best practices for deploying speech recognition technology are explored, suggesting that it should be done either prior to or simultaneously with EHR training for maximum benefit.
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, quarterly summits and more exclusive content. For more information visit talkinghealthtech.com/thtplus
Mentioned in this episode:
Talking HealthTech 2024 Audience Survey
It’s that time again - we are conducting our 2024 Talking HealthTech Audience Survey. 🎉
This helps us prioritise content, hone in key messages and refine the show to make it even better. We also want to understand who are biggest cohorts of audience are, so take 5-10 minutes to complete this and we will be super grateful. 🙏🏻
Everyone who completes the audience survey goes in the draw to win a share of $1000 worth of THT+ Membership Credits, to put towards a membership for yourself as an individual or help get the word out there about your company. First prize is $550, second prize $250, third prize $150 then forth prize of $50 🤑
Click the link to complete the survey now:
Talking HealthTech Audience Survey
In this episode of Talking HealthTech, host Sophie Turner speaks with Dr Brian Zimmerman to discuss clinical AI-based speech recognition as a tool for healthcare to address workforce shortages, clinician burnout & digital transformation.
Dr Zimmerman, an expert in deploying speech recognition platforms in healthcare settings, shares insights from his experience transitioning hospitals to electronic health record (EHR) systems, the burden on healthcare providers inherent to these systems, and how integrating speech recognition technology can help alleviate these issues.
Key Takeaways:
- Speech Recognition in Healthcare: Dr Zimmerman highlights the significant impact of speech recognition technology like Dragon Medical One on healthcare providers' efficiency, particularly in reducing the clerical load and documentation errors associated with EHR systems.
- Global Health Issues and Technology Solutions: Similarities between healthcare challenges faced in the US, Australia, and globally, such as physician burnout and workforce shortages, are discussed, along with how technology can address these issues.
- Integrating Speech Recognition: The use of voice commands within Dragon Medical One to navigate EHR systems effectively is emphasized, including the automation of common workflow tasks which can significantly reduce the number of clicks and time spent on documentation.
- Future of AI in Healthcare: Dr Zimmerman speaks about the Dragon Ambient Experience (DAX), which uses AI to listen to patient visits and create structured clinical documentation automatically.
- Deployment of Speech Recognition: Best practices for deploying speech recognition technology are explored, suggesting that it should be done either prior to or simultaneously with EHR training for maximum benefit.
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, quarterly summits and more exclusive content. For more information visit talkinghealthtech.com/thtplus
Mentioned in this episode:
Talking HealthTech 2024 Audience Survey
It’s that time again - we are conducting our 2024 Talking HealthTech Audience Survey. 🎉
This helps us prioritise content, hone in key messages and refine the show to make it even better. We also want to understand who are biggest cohorts of audience are, so take 5-10 minutes to complete this and we will be super grateful. 🙏🏻
Everyone who completes the audience survey goes in the draw to win a share of $1000 worth of THT+ Membership Credits, to put towards a membership for yourself as an individual or help get the word out there about your company. First prize is $550, second prize $250, third prize $150 then forth prize of $50 🤑
Click the link to complete the survey now:
Talking HealthTech Audience Survey
22 min