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HIMSSCast: Accenture's TechVision 2025 report offers healthcare AI revelations

Integrating data and AI to improve decision-making and the patient experience; training staff to lead AI adoption; creating trustworthy AI; and much more, presented by Accenture's Global Health Technology Lead Andy Truscott.
By Bill Siwicki
stethoscope on iPad
Photo: Tetra Images/Getty Images

Artificial intelligence is moving from an enabler of automation to an autonomous partner in healthcare delivery and financing, according to TechVision 2025, a new report from research and consulting giant Accenture.

The success of this transformation, the report found, hinges on one critical factor: trust. In fact, 81% of health executives agree that a trust strategy must evolve in parallel with their technology strategy, the report said.

And TechVision 2025 is the subject of this week's HIMSSCast, where Accenture's Global Health Technology Lead Andy Truscott offers a deep dive into the results and discusses, among other things, how hospitals and health systems need to build a digital core and integrate data and AI.

 

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Talking points:

  • What is TechVision 2025? What is its purpose?
  • What are some of the major statistical findings?
    Hospitals and health systems need to build a digital core and integrate data and AI to improve decision-making and patient experiences.
  • Healthcare provider organizations need to empower the workforce and train staff to lead AI adoption, ensuring they feel ownership and discover new applications.
  • The need to create trustworthy AI, to design AI that reflects the organization's values and builds patient trust.
  • How do healthcare CIOs and other IT leaders at hospitals and health systems build trust in AI?

More about this episode:

Hackensack Meridian Chief AI Officer on the intersection of business and technology

Cedars-Sinai CAIO: AI is transforming relationship between caregivers and IT

UCSF creates a powerhouse AI system that boosts oncology care

Strive Health improves key KPIs with homegrown machine learning

Wise Hospice Options uses AI to reduce e-prescribe time from 20 seconds to 2

Mount Sinai team creates AI algorithm to detect sleep disorder

Follow Bill's HIT coverage on LinkedIn: Bill Siwicki
Email him: bsiwicki@himss.org
Healthcare IT News is a HIMSS Media publication.