Global market researchers: ‘Build a culture that uses healthcare AI to uplift human potential’
To maximize returns on AI investments, healthcare organizations should align AI initiatives with core competencies. This effort should focus on optimizing experiences for workforces as well as patients. It should also advance the perpetual pursuits of optimized population health and concerted cost containment.
This is one of four tips from analysts with the Big 4 accounting firm KPMG. The team arrived at their recommendations after conducting market research on numerous fronts. The cornerstone of the project was a quantitative survey of approximately 1,400 decision-makers in eight economic sectors across eight countries.
The healthcare cohort comprised 183 senior healthcare leaders, half of whom held C-suite titles. In the resulting research report, the analysts offer three more healthcare-specific pointers:
1. Build trust into your AI roadmap.
Healthcare organizations should implement transparent, explainable AI (XAI), ethical governance frameworks and robust regulatory compliance, the authors state.
“Addressing concerns about bias and security early on—while offering proof that AI delivers successful outcomes—can build stakeholder acceptance and trust,” they write.
They quote a CTO respondent in Australia:
‘We’ve got terabytes of data, but the data is not clean. Because data is not clean, can you trust the outcome that is being presented by AI?’
2. Build a culture that uses AI to uplift human potential.
When it comes to taking a longer-term strategic view on AI, half of respondents say their organizations are currently developing a clear vision on how the tech can support their transformational ambitions in the next five years, the KPMG analysts report.
“AI should augment, not replace, human expertise,” they add. “Foster human-AI collaboration by reskilling clinicians [and] illustrate the ways AI can reduce burnout, enhance efficiency and improve the quality of care.”
A CIO in the United States:
‘Our doctors didn’t like the idea that a tool would be telling them a different way to diagnose something.’
3. Create sustainable technology and data infrastructure for AI adoption.
Investing in cloud platforms enables secure, scalable access to vast datasets and advanced AI tools, supporting real-time collaboration, diagnostics and innovation across care settings, the authors point out.
“Adopting a federated learning approach for AI models helps ensure that the model is sent to where the data resides and learns from it locally,” they note. “Because only the learned updates—not the data itself—are shared back and aggregated, sensitive data remains private and secure.”
A CTO in China:
‘Medical data is particularly complex, not only because it comes in various types—text, images, videos, etc.—but also because the quality varies greatly. We have spent considerable time cleaning and standardizing this data to ensure that it can be accurately understood and analyzed by AI algorithms.’
KPMG has posted the report in full for free.
- In other research news:
- University of Minnesota: Medical AI systems failing to disclose inaccurate race, ethnicity information
- Johns Hopkins: AI reimagines infectious disease forecasting
- Dresden University of Technology: AI agents for oncology: Research team develops system to support clinical decisions
- University of British Columbia: Delivering AI’s promise of better healthcare
- King’s College London: Minister unveils first of its kind AI for Science master’s
- National University of Singapore: AI customizes heart valve treatments for men and women
- University of Minnesota: Medical AI systems failing to disclose inaccurate race, ethnicity information
- Regulatory:
- Funding:
- Ellipsis Health unveils Sage, the emotionally intelligent AI care manager, backed by $45M from Salesforce, Khosla Ventures and CVS Ventures
- Outcomes4Me secures $21M in funding to accelerate AI-driven innovation and drive global expansion to transform cancer care
- Somnee secures $10M to revolutionize sleep with new AI-powered neurotech wearables
- Ryght AI announces partnerships, nabs $3M in funding to digitize clinical trials with AI
- AI techbio company Caris Life Sciences announces initial public offering
- Ellipsis Health unveils Sage, the emotionally intelligent AI care manager, backed by $45M from Salesforce, Khosla Ventures and CVS Ventures
Dave P. has worked in journalism, marketing and public relations for more than 30 years, frequently concentrating on hospitals, healthcare technology and Catholic communications. He has also specialized in fundraising communications, ghostwriting for CEOs of local, national and global charities, nonprofits and foundations.