#doctor — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #doctor, aggregated by home.social.
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I Celebrated Turning 40 by Flying to Spain to Freeze My Eggs
It was a week after my 40th birthday, September 2025. I was celebrating by freezing my eggs in…
#Spain #ES #Europe #Europa #EU #Barcelona #clinic #doctor #egg #follicle #hardpart #hormone #NewYork #price #reality #spanishfreezer #time #week #year
https://www.europesays.com/spain/87801/ -
DATE: September 18, 2026 at 04:30AM
SOURCE: STAT HEALTH TECHTITLE: STAT+: A geriatrician explains why AI for older adults deserves careful scrutiny
Across medicine, doctors are increasingly using artificial intelligence models to predict patient risk, from sepsis to falls to death. Often embedded directly into electronic health records, these predictions can be easy to incorporate into care — and their performance can be easily taken for granted.
James Deardorff, a geriatrician and assistant professor in the division of geriatrics at the University of California San Francisco, has developed several models that aim to make predictions for older adults, from mortality to the need for nursing home care. In geriatrics, he says, it’s important for clinicians to be aware of both the performance of an algorithm — including in subgroups like older patients — and how to responsibly use its output.
This month, Deardorff penned a commentary on a large analysis of Epic’s proprietary end-of-life prediction model published in JAMA Network Open, highlighting how a model can contribute to a poor outcome even if it’s accurate. If a patient’s one-year mortality prediction is used to prompt an open-ended conversation about the goals of care, he and his co-author wrote, there are few downsides. But if it’s used to inform a higher-stakes decision like transplant priority, the impacts could be profound.
Continue to STAT+ to read the full story…
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STAT News reports "from the frontiers of health and medicine".
Learn more at https://www.statnews.com/category/health-tech/ .
See also their complete Mastodon account at @STAT .
This robot is NOT affiliated with STAT news and merely rebroadcasts from their site. Responses posted here are not monitored.
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Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
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Healthcare security & privacy posts not related to IT or infosec are at @HIPAABot . Even so, they mix in some infosec with the legal & regulatory information..
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-------------------------------------------------#healthcare #healthtech #healthcaretech #healthtechnology #medgadget #medicine #doctor
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DATE: September 18, 2026 at 04:30AM
SOURCE: STAT HEALTH TECHTITLE: STAT+: A geriatrician explains why AI for older adults deserves careful scrutiny
Across medicine, doctors are increasingly using artificial intelligence models to predict patient risk, from sepsis to falls to death. Often embedded directly into electronic health records, these predictions can be easy to incorporate into care — and their performance can be easily taken for granted.
James Deardorff, a geriatrician and assistant professor in the division of geriatrics at the University of California San Francisco, has developed several models that aim to make predictions for older adults, from mortality to the need for nursing home care. In geriatrics, he says, it’s important for clinicians to be aware of both the performance of an algorithm — including in subgroups like older patients — and how to responsibly use its output.
This month, Deardorff penned a commentary on a large analysis of Epic’s proprietary end-of-life prediction model published in JAMA Network Open, highlighting how a model can contribute to a poor outcome even if it’s accurate. If a patient’s one-year mortality prediction is used to prompt an open-ended conversation about the goals of care, he and his co-author wrote, there are few downsides. But if it’s used to inform a higher-stakes decision like transplant priority, the impacts could be profound.
Continue to STAT+ to read the full story…
-------------------------------------------------
STAT News reports "from the frontiers of health and medicine".
Learn more at https://www.statnews.com/category/health-tech/ .
See also their complete Mastodon account at @STAT .
This robot is NOT affiliated with STAT news and merely rebroadcasts from their site. Responses posted here are not monitored.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
.
Healthcare security & privacy posts not related to IT or infosec are at @HIPAABot . Even so, they mix in some infosec with the legal & regulatory information..
.
-------------------------------------------------#healthcare #healthtech #healthcaretech #healthtechnology #medgadget #medicine #doctor
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DATE: September 18, 2026 at 04:30AM
SOURCE: STAT HEALTH TECHTITLE: STAT+: A geriatrician explains why AI for older adults deserves careful scrutiny
Across medicine, doctors are increasingly using artificial intelligence models to predict patient risk, from sepsis to falls to death. Often embedded directly into electronic health records, these predictions can be easy to incorporate into care — and their performance can be easily taken for granted.
James Deardorff, a geriatrician and assistant professor in the division of geriatrics at the University of California San Francisco, has developed several models that aim to make predictions for older adults, from mortality to the need for nursing home care. In geriatrics, he says, it’s important for clinicians to be aware of both the performance of an algorithm — including in subgroups like older patients — and how to responsibly use its output.
This month, Deardorff penned a commentary on a large analysis of Epic’s proprietary end-of-life prediction model published in JAMA Network Open, highlighting how a model can contribute to a poor outcome even if it’s accurate. If a patient’s one-year mortality prediction is used to prompt an open-ended conversation about the goals of care, he and his co-author wrote, there are few downsides. But if it’s used to inform a higher-stakes decision like transplant priority, the impacts could be profound.
Continue to STAT+ to read the full story…
-------------------------------------------------
STAT News reports "from the frontiers of health and medicine".
Learn more at https://www.statnews.com/category/health-tech/ .
See also their complete Mastodon account at @STAT .
This robot is NOT affiliated with STAT news and merely rebroadcasts from their site. Responses posted here are not monitored.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
.
Healthcare security & privacy posts not related to IT or infosec are at @HIPAABot . Even so, they mix in some infosec with the legal & regulatory information..
.
-------------------------------------------------#healthcare #healthtech #healthcaretech #healthtechnology #medgadget #medicine #doctor
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DATE: September 18, 2026 at 04:30AM
SOURCE: STAT HEALTH TECHTITLE: STAT+: A geriatrician explains why AI for older adults deserves careful scrutiny
Across medicine, doctors are increasingly using artificial intelligence models to predict patient risk, from sepsis to falls to death. Often embedded directly into electronic health records, these predictions can be easy to incorporate into care — and their performance can be easily taken for granted.
James Deardorff, a geriatrician and assistant professor in the division of geriatrics at the University of California San Francisco, has developed several models that aim to make predictions for older adults, from mortality to the need for nursing home care. In geriatrics, he says, it’s important for clinicians to be aware of both the performance of an algorithm — including in subgroups like older patients — and how to responsibly use its output.
This month, Deardorff penned a commentary on a large analysis of Epic’s proprietary end-of-life prediction model published in JAMA Network Open, highlighting how a model can contribute to a poor outcome even if it’s accurate. If a patient’s one-year mortality prediction is used to prompt an open-ended conversation about the goals of care, he and his co-author wrote, there are few downsides. But if it’s used to inform a higher-stakes decision like transplant priority, the impacts could be profound.
Continue to STAT+ to read the full story…
-------------------------------------------------
STAT News reports "from the frontiers of health and medicine".
Learn more at https://www.statnews.com/category/health-tech/ .
See also their complete Mastodon account at @STAT .
This robot is NOT affiliated with STAT news and merely rebroadcasts from their site. Responses posted here are not monitored.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
.
Healthcare security & privacy posts not related to IT or infosec are at @HIPAABot . Even so, they mix in some infosec with the legal & regulatory information..
.
-------------------------------------------------#healthcare #healthtech #healthcaretech #healthtechnology #medgadget #medicine #doctor
