A planning committee of the National Academies of Sciences, Engineering, and Medicine will organize a public workshop to examine the opportunities and challenges for improving diagnosis in the era of digital health and artificial intelligence (AI). Workshop participants will consider policy strategies and research opportunities to improve timely and accurate diagnosis in the context of these diagnostic innovations.
The workshop will feature invited presentations and discussions on:

• The current and developing role of digital health and AI technologies to improve diagnosis, including mechanisms to routinely collect data and to communicate patient information to clinicians in real time;
• Methodologies and data access needs to develop, assess, and validate clinically useful, unbiased, and transparent diagnostic algorithms, and mechanisms (both regulatory and non-regulatory) to ensure safety, effectiveness, and reliability of these algorithms in diverse populations;
• Strategies for broad implementation of effective diagnostic innovations, with emphasis on patient-centered care, and metrics to ensure high-quality diagnosis;
• Ways to ensure data security and protect patient privacy while using these technologies;
• Disparities in access to new technologies, and strategies to reduce barriers to access;
• The potential to leverage digital health and AI to lower costs and redundancies in the diagnostic process, while improving patient safety and health outcomes; and
• Potential unintended consequences of AI in the diagnostic setting, and strategies to mitigate undesired consequences.

In accordance with institutional guidelines, a designated rapporteur will prepare a proceedings-in brief of the workshop based on the presentations and discussion during that workshop. The proceedings-in brief will be subject to the National Academies review procedures prior to release.