Diagnostic AI Technologies

New regulatory and reimbursement approaches, Precision medicine and diagnostics, Health system readiness
/ Healthcare

Standards and quality assurance for diagnostic healthcare AI 

Artificial intelligence (AI) technologies continue to proliferate across business, government, and society, and are now a day-to-day reality with which leaders must contend. AI is at the conversational forefront of many industries, including healthcare, where it has the potential to decrease workforce burnout, increase efficiency, improve patient outcomes, and reduce costs. [i] However, the speed with which healthcare vendors and systems are developing and deploying AI, coupled with the lack of standards for building algorithms and validating performance, has raised questions about the quality and quality assurance of these technologies and the potential effects on patient outcomes.

In early 2023, Tapestry Networks, with support from the Gordon and Betty Moore Foundation, held a series of one-on-one and small-group conversations with key stakeholders, including AI developers and vendors, payers, and academic and community health systems to explore the opportunities and challenges in advancing the safe, effective, and fair adoption of diagnostic AI technologies. Additionally, stakeholders discussed potential demonstration projects to improve the quality of healthcare AI and helped to inform the future of the Moore funding portfolio.   

Tapestry will continue to engage with diverse partners and key stakeholders to assess gaps and opportunities relating to the safe, responsible deployment of AI technologies in diagnostics and other areas of healthcare.

For more on Tapestry’s broader work on the intersection of business and AI, read about our AI Connect Forum.

[i] US Government Accountability Office & National Academy of Medicine, Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning Technologies for Medical Diagnostics (Government Accountability Office, September 2022).