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Data-driven technologies are now being adopted, developed, funded, and deployed throughout the health care market at an unprecedented scale. But, as this O'Reilly report reveals, health care innovation contains more hurdles and requires more finesse than many tech startups expect. By paying attention to the lessons from the report's findings, innovation teams can better anticipate what they'll face, and plan accordingly.
Simply put, teams looking to apply collective intelligence and "big data" platforms to health and health care problems often don't appreciate the messy details of using and making sense of data in the heavily regulated hospital IT environment. Download this report today and learn how it helps prepare startups in six areas:
- Complexity: An enormous domain with noisy data not designed for machine consumption
- Computing: Lack of standard, interoperable schema for documenting human health in a digital format
- Context: Lack of critical contextual metadata for interpreting health data
- Culture: Startup difficulties in hospital ecosystems: why innovation can be a two-edged sword
- Contracts: Navigating the IRB, HIPAA, and EULA frameworks
- Commerce: The problem of how digital health startups get paid
This report represents the initial findings of a study funded by a grant from the Robert Wood Johnson Foundation. Subsequent reports will explore the results of three deep-dive projects the team pursued during the study.
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