on Value & Science-Driven Health Care. Chapters 2 through 5 summarize the expert presentations at the workshop, and are organized by thematic focus on the presentations, while Chapter 6 covers the concluding discussion. Chapter 2 addresses data quality challenges and opportunities in a learning health system, including explorations of data heterogeneity and the importance of focusing on data of value to the patient. Chapter 3 focuses on the many uses of the digital health data utility, covering the management of patient populations, clinical research, translational informatics, and both national and local public health efforts. Chapter 4 looks at emerging issues and opportunities in the use of large datasets, including a discussion of the challenge of data bias, and recent advances in mathematics that promise to move research toward generating real time insights. Chapter 5 explores emerging innovations in the use of digital health data including distributed queries, data normalization, and data linkages. Chapter 6 summarizes the concluding discussion in which many workshop participants suggested potential strategies and actions to catalyze progress.
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