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Data Challenges and AI Opportunities in Healthcare with Peter Shen, Head of Digital Health - North America at Siemens Healthineers
Manage episode 376815834 series 2623537
Many of the challenges facing the healthcare industry became common knowledge throughout the pandemic. How has industry thinking shifted with the emergence of new technologies and solutions? How can we think about tackling these huge issues at this point? Peter Shen, Head of Digital Health - North America at Siemens Healthineers, joins the podcast to discuss how emerging technologies, including AI and LLMs, can help move the needle in democratizing healthcare. He and Yadin dive into the challenges clinicians face in utilizing vast amounts of clinical data, as well as using AI as a companion to physicians and a resource to patients.
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Key Quotes:
“So, tremendous amount of data that's being generated. The rate that's being generated doesn't even compare to the much slower growth rate of new clinicians, new doctors that are coming into health care. So as you can imagine, there's this gap that's growing…The clinician just doesn't have time to consume all this patient data that's being generated.”
“Unfortunately patients have heart attacks in all parts of the country, rural, or in the big city or whatnot. But now being able to enable the patient to go to their local hospital, get the same level of care that they could get if they went to a larger institution because you have the ability to have these shorthanded resources, now leverage technologies like remote, scanning capabilities to be able to take care of the patient from afar.”
---------
Timestamps:
(01:14) The unique challenges in healthcare right now
(02:37) The trend towards burn-out and “re-careering”
(04:14) The increase in healthcare data and limited capacity to utilize it
(07:58) How does Siemens approach such big problems?
(09:26) Can we leverage technologies to keep doctors informed on new clinical information?
(10:33) Ways to remove friction in the healthcare industry
(12:18) Unifying disparate clinical data
(13:13) Hurdles in unifying data
(15:41) Using AI to move the needle
(17:43) AI as as a companion for the clinician
(18:39) Peter’s hope for the impact of these technologies
(19:34) The possibilities of large language models for the patient
(22:05) The ability to scale large language models
(25:25) Distribution of AI in healthcare
--------
Links:
Yadin Porter de León on Twitter
[Subscribe to the Podcast]
For more podcasts, video and in-depth research go to
73 פרקים
Manage episode 376815834 series 2623537
Many of the challenges facing the healthcare industry became common knowledge throughout the pandemic. How has industry thinking shifted with the emergence of new technologies and solutions? How can we think about tackling these huge issues at this point? Peter Shen, Head of Digital Health - North America at Siemens Healthineers, joins the podcast to discuss how emerging technologies, including AI and LLMs, can help move the needle in democratizing healthcare. He and Yadin dive into the challenges clinicians face in utilizing vast amounts of clinical data, as well as using AI as a companion to physicians and a resource to patients.
---------
Key Quotes:
“So, tremendous amount of data that's being generated. The rate that's being generated doesn't even compare to the much slower growth rate of new clinicians, new doctors that are coming into health care. So as you can imagine, there's this gap that's growing…The clinician just doesn't have time to consume all this patient data that's being generated.”
“Unfortunately patients have heart attacks in all parts of the country, rural, or in the big city or whatnot. But now being able to enable the patient to go to their local hospital, get the same level of care that they could get if they went to a larger institution because you have the ability to have these shorthanded resources, now leverage technologies like remote, scanning capabilities to be able to take care of the patient from afar.”
---------
Timestamps:
(01:14) The unique challenges in healthcare right now
(02:37) The trend towards burn-out and “re-careering”
(04:14) The increase in healthcare data and limited capacity to utilize it
(07:58) How does Siemens approach such big problems?
(09:26) Can we leverage technologies to keep doctors informed on new clinical information?
(10:33) Ways to remove friction in the healthcare industry
(12:18) Unifying disparate clinical data
(13:13) Hurdles in unifying data
(15:41) Using AI to move the needle
(17:43) AI as as a companion for the clinician
(18:39) Peter’s hope for the impact of these technologies
(19:34) The possibilities of large language models for the patient
(22:05) The ability to scale large language models
(25:25) Distribution of AI in healthcare
--------
Links:
Yadin Porter de León on Twitter
[Subscribe to the Podcast]
For more podcasts, video and in-depth research go to
73 פרקים
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