UCSF

Making sense of sequencing

In a paper published in Health Affairs, the preeminent health policy journal, we describe a policy primer for genomic sequencing and its relationship to big data. We developed an easily applied classification of sequencing based on inputs, methods, and outputs, and used this classification to examine the implications for making healthcare more patient-centered, developing coverage and reimbursement policies, and assessing economic value. The paper’s findings were presented at a press briefing at the National Press Club.

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Genomic sequencing: assessing the health care system, policy, and big-data implications

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