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Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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Intelligent, Autonomous Machines in Surgery.

Tyler J Loftus1, Amanda C Filiberto1, Jeremy Balch1

  • 1Department of Surge ry, University of Florida Health, Gainesville, Florida.

The Journal of Surgical Research
|April 28, 2020
PubMed
Summary
This summary is machine-generated.

Intelligent machines may augment or replace surgeons, but surgeons should guide this technological evolution. Understanding innovation curves and ethical considerations is crucial for optimal patient care.

Keywords:
Artificial intelligenceAutomationInnovationMachine learningSurgery

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Area of Science:

  • Surgical innovation
  • Medical technology adoption
  • Human-machine interaction in medicine

Background:

  • Surgeons' roles include operating and shared decision-making, both limited by human biological constraints.
  • Intelligent, autonomous machines present potential to augment or replace surgeons.
  • Surgeons need to understand and guide the integration of these technologies.

Observation:

  • Surgical innovations, like minimally invasive surgery, follow predictable S-shaped adoption curves.
  • These curves involve introduction, performance advantage, and eventual plateau, leading to replacement by more autonomous systems.
  • Currently, no level I evidence supports improved patient outcomes with autonomous machines in surgery or decision-making.

Findings:

  • Historical trends suggest machines will augment or replace humans for simpler tasks first, progressing to complex ones.
  • Cost-effectiveness and evidence of improved patient outcomes are key drivers for machine adoption.
  • The integration of autonomous machines raises ethical concerns regarding liability, patient values, and workforce displacement.

Implications:

  • Surgeons can potentially shift focus from data analysis to direct patient interaction and critical care.
  • Steering technological development requires human creativity, altruism, and moral deliberation.
  • The goal is to ensure optimal patient care and maximize societal benefit from surgical technology.