Progressing quality and value in healthcare innovation
The advance of new technology into the US healthcare system is at an inflection point. 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 value, performance, and quality of these innovations has resulted in uneven adoption by payers, health systems, providers and a lack of clear understanding of these technologies’ benefit or impact.
With support from the Peterson Center on Healthcare (PCH) and the Gordon and Betty Moore Foundation, Tapestry has engaged diverse stakeholders to address issues pertaining to the quality and value of digital health and AI technologies across various projects outlined below. Tapestry continues to assess opportunities for candid multistakeholder insights and dialogue to inform and advance appropriate, effective use of novel technologies in healthcare.
Digital Health Technology Project Background:
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 adoption 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.
Diagnostic AI Project Background:
In early to mid-2023, Tapestry collaborated with the Gordon and Betty Moore Foundation to engage an array of stakeholders on challenges and opportunities to advance the quality of diagnostic healthcare AI technologies, resulting in an in-depth report that comprises 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 advance high-quality diagnostic AI in the future.