Digital Health and Diagnostic AI Technologies
Progressing quality and value in healthcare innovation
Tapestry, supported by the Peterson Center on Healthcare and the Gordon and Betty Moore Foundation, is actively engaging diverse stakeholders to address challenges in digital health and to promote the appropriate and effective use of digital health and AI technologies.
Investment in digital health and artificial intelligence (AI) technologies has increased exponentially in recent years–from $1.6B in 2012 to $29.2B in 2021–resulting in a wide array of new products and services in the market.[i] While these technologies have the potential to decrease workforce burnout, increase efficiency, improve patient outcomes, and reduce costs in healthcare, the lack of standards for assessing the value, performance, and quality of these innovations has resulted in a lack of clear understanding of these technologies’ benefit and impact and uneven adoption by payers, health systems, and providers.
With support from the Peterson Center on Healthcare (PCH) and the Gordon and Betty Moore Foundation, Tapestry engaged diverse stakeholders to address issues pertaining to the quality and value of digital health and AI technologies across various projects.
- From 2022-2023, Tapestry partnered with PCH to understand key adoption drivers for digital health technology and to identify how the market could increase the utilization of high-value technologies that improve clinical and economic outcomes. Tapestry, PCH, and diverse partners and stakeholders engaged in a series of conversations with purchasers, technology companies, health systems, and others to inform the creation of a landscape analysis: Unlocking Value in Digital Health. The landscape analysis helped to confirm the need for an independent assessor of digital health technologies. In July 2023, PCH officially launched the Peterson Health Technology Institute to meet this need.
- In early to mid-2023, Tapestry collaborated with the Gordon and Betty Moore Foundation to explore the challenges and opportunities to advance the quality of diagnostic healthcare AI technologies, resulting in an in-depth report comprising candid stakeholder feedback on the complexities of effectively introducing AI into the diagnostic workflow and ecosystem. The analysis also describes feedback on specific demonstration project concepts that would potentially be funded by the Moore Foundation to enable high-quality diagnostic AI in the future. Following this work and its insights, the Moore Foundation committed to continuing to advance these topics via its support to launch the Center of Diagnostic Excellence at University of California San Francisco.