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How Does AI Work For Medical Note Taking and Risk Scoring? (Augmedix, HDAI)

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Manage episode 382342083 series 2359900
Content provided by Tjasa Zajc. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tjasa Zajc or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

If you’re still trying to wrap your head around the use of AI in healthcare, this episode will give you an idea about the use of generative AI to create clinical notes during an interaction between a doctor and a patient. Augmedix, a healthcare technology company that delivers ambient medical documentation and data solutions. Their clinician-controlled mobile app uses generative AI to instantaneously create a fully automated draft medical note after each patient visit. I spoke with Manny Krakaris - CEO of Augmedix, about the HOW. How is their data model built, what and what kind of technology do they use in their product? Manny also explains why they’re not covering revenue cycle management or RCM-related codes in their data structuring processes, and what are the biggest challenges in the industry at the moment.

The second part of this episode is unrelated to generative AI, and illustrates how existing medical data can be used to create risk prediction tools for medical care. You will hear from Nassib Chamoun, Founder and CEO of the Health Data Analytics Institute, an analytics company that is developing risk modeling methodology to ease clinical decision-making by assigning patients different risk scores based on their medical history. This enables clinicians to design follow-up protocols based on an individual's potential health deterioration. Both discussions were recorded at HLTH.

Read a longer article about insights related to generative AI from HLTH, which includes an overview of the key player in medical notes generation space: https://fodh.substack.com/p/generative-ai-in-healthcare.

Episode summary: https://www.facesofdigitalhealth.com/blog/ai-for-medical-note-taking-and-risk-scoring-augmedix-hdai

Augmedix: https://augmedix.com/

HDAI: https://www.hda-institute.com/

Discussion summary:

More about healthcare data in the US:

Healthcare data in the US series: https://www.facesofdigitalhealth.com/blog/healthcare-data-series-in-the-us-foundy-epic-komodo?rq=epic%20

Newsletter: https://fodh.substack.com/

Website: www.facesofdigitalhealth.com

Leave a rating or review in iTunes: https://www.facesofdigitalhealth.com/subscribe

  continue reading

308 episodes

Artwork
iconShare
 
Manage episode 382342083 series 2359900
Content provided by Tjasa Zajc. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tjasa Zajc or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

If you’re still trying to wrap your head around the use of AI in healthcare, this episode will give you an idea about the use of generative AI to create clinical notes during an interaction between a doctor and a patient. Augmedix, a healthcare technology company that delivers ambient medical documentation and data solutions. Their clinician-controlled mobile app uses generative AI to instantaneously create a fully automated draft medical note after each patient visit. I spoke with Manny Krakaris - CEO of Augmedix, about the HOW. How is their data model built, what and what kind of technology do they use in their product? Manny also explains why they’re not covering revenue cycle management or RCM-related codes in their data structuring processes, and what are the biggest challenges in the industry at the moment.

The second part of this episode is unrelated to generative AI, and illustrates how existing medical data can be used to create risk prediction tools for medical care. You will hear from Nassib Chamoun, Founder and CEO of the Health Data Analytics Institute, an analytics company that is developing risk modeling methodology to ease clinical decision-making by assigning patients different risk scores based on their medical history. This enables clinicians to design follow-up protocols based on an individual's potential health deterioration. Both discussions were recorded at HLTH.

Read a longer article about insights related to generative AI from HLTH, which includes an overview of the key player in medical notes generation space: https://fodh.substack.com/p/generative-ai-in-healthcare.

Episode summary: https://www.facesofdigitalhealth.com/blog/ai-for-medical-note-taking-and-risk-scoring-augmedix-hdai

Augmedix: https://augmedix.com/

HDAI: https://www.hda-institute.com/

Discussion summary:

More about healthcare data in the US:

Healthcare data in the US series: https://www.facesofdigitalhealth.com/blog/healthcare-data-series-in-the-us-foundy-epic-komodo?rq=epic%20

Newsletter: https://fodh.substack.com/

Website: www.facesofdigitalhealth.com

Leave a rating or review in iTunes: https://www.facesofdigitalhealth.com/subscribe

  continue reading

308 episodes

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