Introduction to Artificial Intelligence in Healthcare
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 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.
Understanding TechVision 2025
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.
Key Findings of TechVision 2025
Some of the major statistical findings include:
- 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.
Building Trust in AI
Healthcare CIOs and other IT leaders at hospitals and health systems must build trust in AI. This can be achieved by creating a digital core, integrating data and AI, and empowering the workforce to lead AI adoption.
Real-World Examples of AI in Healthcare
There are several examples of AI being used in healthcare, including:
- 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
Conclusion
In conclusion, artificial intelligence is revolutionizing the healthcare industry by improving decision-making and patient experiences. However, building trust in AI is crucial for its successful adoption. By creating a digital core, integrating data and AI, and empowering the workforce, healthcare organizations can build trust in AI and improve patient outcomes.
FAQs
Q: What is TechVision 2025?
A: TechVision 2025 is a report from Accenture that explores the future of artificial intelligence in healthcare.
Q: What is the critical factor for the success of AI in healthcare?
A: Trust is the critical factor for the success of AI in healthcare.
Q: How can healthcare organizations build trust in AI?
A: Healthcare organizations can build trust in AI by creating a digital core, integrating data and AI, and empowering the workforce to lead AI adoption.
Q: What are some examples of AI being used in healthcare?
A: There are several examples of AI being used in healthcare, including improving oncology care, reducing e-prescribe time, and detecting sleep disorders.
