The health care industry has already seen advanced artificial intelligent systems make an impact in areas like medical diagnosis and patient care. But the long-term big-picture importance of AI in medicine may be something else entirely: a potential fix for the intractable problem of too few doctors and nurses worldwide. And as part of that, a solution to health care’s public enemy number one—paperwork.
Entefy curated a presentation based on our article about the impact of artificial intelligence in medical care. These slides provide a snapshot of how AI is at use in medical care today, the advances and limits of current AI systems, and AI’s potential in patient care. The presentation contains useful data and analysis for anyone interested in the intersection of AI and medical care.
For additional analysis and links to our background sources, read “Patients are about to see a new doctor: artificial intelligence" on our blog at https://blog.entefy.com/view/298/Patients-are-about-to-see-a-new-doctor-artificial-intelligence.
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These slides provide data and
insights for patients, medical
professionals, and anyone interested
in how artificial intelligence might
transform the medical care industry.
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This presentation was curated by Entefy,
the company building the first universal
communicator—an AI-powered
communication platform that seamlessly
connects the people, services, conversations,
contacts, files, apps, smart devices, and
smart things in your digital universe.
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There is a global
shortfall of
approximately
4.3 million doctors
and nurses
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The U.S. struggles with
health care costs,
limiting time doctors
spend with patients
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U.S. doctors spend
on average just 13-16
minutes with
each patient
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Artificial intelligence
is helping these
challenges
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AI is already impacting patient
care broadly:
Hospital databases
Electronic records
In-home monitors
Fitness trackers
Implanted devices
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MACHINE
LEARNING IN
MEDICAL CARE
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Machine learning
references AI systems that
“study” huge datasets
to discover insights
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Example:
Smart computers can spot
disease through studying
archived medical photos
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Example:
Researchers are testing
machine learning applications
in treating brain injuries
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Example:
Other AI systems
facilitate diagnoses of
vision impairment
and blindness
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But these
developments don’t
mean that doctors will
be replaced by artificial
intelligence
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Instead, AI is being
designed to enhance
the role of doctors
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By providing them
with insights into
patients’ conditions
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AI may also impact
health management,
disease prevention,
and doctor’s visits
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Example:
AI-powered medical
databases help physicians
make precise diagnoses
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Example:
One hospital’s AI system gives
doctors alerts about possible
contraindications
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Example:
One AI system predicts
which patients may need
specific drugs in the future
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Example:
One hospital is already using
AI to track patients who have
or may develop congestive
heart failure
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FACILITATING
HUMAN
CONNECTION
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One of the primary
factors limiting
doctor-patient time
is paperwork
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One study followed
57 physicians
through 430 hours of
patient care
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Here’s what it found...
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“Physicians spent 27% of their time in their
offices seeing patients and 49.2% of their time
doing paperwork... Even when the doctors
were in the examination room with patients,
they were spending only 52.9% of the time
talking to or examining the patients and 37.0%
doing […] paperwork.”
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Health companies are
using AI-powered apps to
cut the time nurses and
doctors spend gathering
information
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System by system, AI
supports the goal of
improving doctor-patient
interaction
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OPTIMIZING
THE DOCTOR-AI
BALANCE
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Algorithms generate
analyses of a
patient’s history
and suggest
diagnoses
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But doctors still need
to apply real-world
experience to
determine treatment
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Because smart machines
today cannot explain
the reasoning behind
their diagnoses
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Doctors can’t know
whether the process
behind AI recommendations
is sound
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AI’s greatest impact
may be enhancing
and empowering
human caregivers
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Decision framework: AI in medical care
The human role in medicine
Compassion and bedside
manner
New insights into how genetic mutations
create different conditions
Faster, more accurate diagnoses, and
preventative care
Saves caregiver time by automating
recordkeeping and paperwork
Potential for long-term cost saving
First-hand experience with
symptoms and diseases
Evaluating AI-generated dignoses
for accuracy and relevance
Personally responsible for patients’
health outcomes
Benefits of AI-assisted medicine