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QuantifiedBiosensing Technologies in Everyday Life$
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Dawn Nafus

Print publication date: 2016

Print ISBN-13: 9780262034173

Published to MIT Press Scholarship Online: January 2017

DOI: 10.7551/mitpress/9780262034173.001.0001

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Open mHealth and the Problem of Data Interoperability

Open mHealth and the Problem of Data Interoperability

Chapter:
(p.161) 9 Open mHealth and the Problem of Data Interoperability
Source:
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Author(s):

Deborah Estrin

Anna de Paula Hanika

Dawn Nafus

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262034173.003.0009

The words we use to describe data, both popularly and in the social sciences, often imply that data remains comprehensible as it moves around: “data flows,” “data exhaust,” “seamless,” and the like. However, there are more steps than we ordinarily assume between “raw” sensor data and data that is helpful for making judgments about a medical condition. Making data legible as it moves from one system to the next is a nontrivial technical challenge, even before we get to the social challenges. In this chapter, Dawn Nafus interviews Deborah Estrin about the realities of building systems for supporting meaning-making across technical systems. Estrin is a computer scientist at Cornell University and cofounder of Open mHealth, a nonprofit startup that aims to bring clinical meaning to digital health data through an open platform designed for improved interoperability among disparate, heterogeneous data sources.

Keywords:   Interoperability, Clinical standards, Biosensors, Open architecture, Schemas, Medical data

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