Publication date: Sep 10, 2019
Realizing the full potential of precision medicine starts with finding better ways to collect, share and make decisions based on data.
There are a number of daunting challenges that must be overcome collection For each relevant subgroup, data must be collected from thousands of patients, a huge task in itself.
Data Incompatibility The data needed to support precision medicine is currently siloed in a large number of incompatible systems.
To protect privacy, patient consent is mandatory before medical records can be shared, making data collection even more cumbersome.
For example, one New York City hospital network now operates a clinic that provides patient care but also conducts data science initiatives for populations as well as individuals.
Given the data tools available, and the dedication of so many research teams within the larger medical ecosystem, it is inevitable that precision medicine will flourish over time.
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