Healthcare stands to gain significant ground with the help of domain-specific AI capabilities that were historically powered by humans. As a result, the next generation of healthcare has already begun, and it’s being revolutionized by AI.
2. ● U.S. healthcare spending hit ~$3.5T in 2017*
● U.S. healthcare spending to climb 5.3 percent in 2018
● Aging baby boomer population (retiring without proper knowledge transfer)
● Increasing drug prices and usage growth (especially for specialty drugs such as those for
genetic disorders and oncology)
● EHR adoption was incentivised and then enforced with penalties for noncompliance
● Data disparity and information sharing challenges (poor business models)
● Doctors know best
● AI is estimated to save up to $150 billion annually for the U.S. healthcare by 2026**
State of US Healthcare & the Call for AI
*Source: US Centers for Medicare and Medicaid Services (CMS)
**Source: Accenture report on “near-term value” of AI applications in healthcare
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3. 10 Use Cases of AI in Healthcare
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1. Robotic Surgeons
2. Physician’s Assistants
3. Virtual Nursing Assistants
4. Administrative Workflow
5. Revenue Cycle Management
6. Clinical Decision Support
7. Genetics and Genomics
8. Personalized Medicine
9. Streamlined Value-Based Care
10. Cognitive Radiology
4. ● Cognitive surgical robotics
○ Integrate pre-op medical record
data with real-time operating
metrics to improve surgical
outcomes
● The da Vinci technique
○ Robotic limbs with surgical
instruments and a 3D view
● HeartLander
○ Miniature mobile robot to sense,
map, and treat the heart
Robotic Surgeons
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5. ● Order prescriptions and lab tests
● Take comprehensive notes during
in-person appointments
● Benchmarking: intelligent alerts
informing doctors when they have
gone off course from norms
○ E.g. the Lancet’s study on
informing doctors who prescribe
more antibiotics than their peers
Physician’s Assistants
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6. ● Answer medical questions
● Triage and direct to the correct
medical service (emergency or
otherwise)
● Providing personalized medication
and care instructions (post-surgery or
routine)
● Receive smart notifications
● Wellness checks
○ Manage, monitor, and
communicate
Virtual Nursing Assistants
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7. Administrative Workflow
● Prioritize urgent matters
● Cut documentation time and improve reporting quality
● Voice-to-text transcriptions that automate non-patient care activities:
○ Scheduling
○ Writing chart notes
○ Prescribing medications
○ Ordering tests
○ Automated check-ins
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8. Revenue Cycle Management
Analysis of financial records to maximize book
value.
● Selecting which past-due accounts need
collections actions based on size and
likelihood of payout (using demographics,
psychographics, and historicals to make
weighted predictions), and avoidance of
negative PR situations.
● Analysis of missing charges based on
common procedural groupings.
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9. ● Computerized alerts and
reminders to care providers and
patients
● Clinical guidelines
● Condition-specific orders
● Patient data reports and
summaries
● Diagnostic support
Clinical Decision Support
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10. ● Garner a better understanding of the effect of DNA on a person’s health
● Find biological connections between genetics, diseases, and drug response
● Gain a deeper understanding of genetic defects related to particular drugs and diseases
Genetics and Genomics
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11. ● Personalized care
● Custom drugs and treatment plans based on individual biometrics
Personalized Medicine
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12. ● Clinical workflows based off available resources, bottlenecks, etc.
● Predictive analytics to help determine optimal sequences
● Reducing duplicate lab tests and other waste
Streamlined Value-Based Care
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13. Cognitive Radiology
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● Scan x-rays, MRIs, computed
tomography (CT scans),
mammography, etc and
detect/identify anomalies
● Scan mobile phone photos for
initial signs of craniofacial issues
● Help radiologists do more with
their time