- Welcome to the Becker's Healthcare Podcast.
We at Becker's are excited
to welcome more than 2,500 healthcare executives
to Chicago next April for our annual meeting.
Over the four day event,
you'll hear more than 450 elite hospital
and health system executives.
Share the big ideas
and best strategies driving healthcare forward.
Visit conferences dot becker's hospital review.com
to register or email agenda team at becker's healthcare.com.
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Unless coming through a sponsorship or exhibit.
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We'll be sold out by the end of the year.
Without further ado,
here is your daily industry news briefing
for today, December 13th.
First, Google is launching new healthcare AI models that aim
to assist clinicians and researchers
and conducting intricate studies
summarizing clinician patient interactions and more.
CNBC reported the suite of AI models.
Dub me Lmm compromises a large
and medium-sized AI model, AI model, both based on Med Palm.
Two, a language model trained on medical data initially
announced by Google in March.
As of December 13th, the AI model is available
for eligible Google Cloud customers in the us.
The tech company noted that the cost
of the AI suite varies based on the
utilization of different models.
With the medium sized model being comparatively more cost
effective, Ash
and me, go Gupta, the Global Director of Healthcare Strategy
and Solutions at Google Cloud told the publication
that Google observed varying effectiveness
among medically tuned AI models for a specific task.
This realization prompted the company to introduce a suite
of models rather than pursuing a one size fits all solution.
For example, Google highlighted that its larger
Med Lmm model excels at handling complex tasks,
requiring extensive knowledge
and significant computing power, power, such
as conducting studies using data from an entire patient
population within a healthcare organization.
On the other hand, if companies require a more agile model
optimized for specific
or real-time functions, such as summary
summarizing interactions between clinicians
and patients, the medium-sized model
is deemed more suitable.
According to Mr. Gupta, Google also said it plans
to introduce healthcare specific versions of Gemini.
Its latest AI model to Med LM in the future.
The tech giant released Gemini on December 7th.
According to the publication,
HEA healthcare is already working out plans
to test the Gemini model
and is working to implement Med lmm.
Second, a survey
of hospital executives from digital health company.
Panda Health found that virtual nursing was the digital
- Hospital tool with the lowest adoption rate
and most overstated value.
The survey of a hundred hospital leaders found
that just 13% have used virtual nursing technology
in their organization.
Additionally, more than a third of leaders, 35% said
that the value of virtual nursing was overstated.
Despite the current low rate of virtual nursing adoption,
31%
of hospital executives said they would
be using the technology.
By the end of 2024, 19% of hospital executives said
that the effect of virtual nursing is is
understated in value.
Third Epic Nexus, a subsidiary of Epic, has become one
of the initial organizations
to receive the qualified Health Information Network
designation under the designation.
Healthcare providers using Epic now have the option
to securely exchange information via the trusted exchange
framework in common agreement.
Approximately 498 hospitals
who are Epic customers have already committed
to participating in teca.
Teca is a national health exchange framework aimed at
enhancing patient care and promoting
nationwide interoperability.
Are you interested in engaging
and dynamic conversations with hundreds
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Join the 300 plus sponsors
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through the 11th in Chicago.
Email Jessica Cole at j cole at becker's healthcare.com
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