Human API is a data aggregation platform that aggregates, stores and abstracts data from mobile devices, wearable sensors, and other internet enabled data sources. The service aims to make available all the data generated by health tracking devices such as blood glucose, weight, physical activity, caloric intake, blood pressure, and many other health data points. Furthermore, Human API aims to provide the tools to make the data meaningful and actionable so that it can be utilized in a wide range of commercial settings, including health insurers.
To make the integration possible and facilitate the seamless flow of data, Human API has partnered with various health related entities including Fitbit, ihealth, Jawbone as a well as a wide range of labs, pharmacies, devices and apps. These partnerships, combined with Human API’s end-user authentication process, allow individuals to securely share their health data with any third party application, irrespective of how that data is processed or stored.
Andrei Pop, CEO of Human API, has encapsulated the Human API approach: “Our health data is stored in a lot of disparate datasets. Due to very difficult technical challenges, we rarely get the opportunity to pull it all together and create a clear, quantitative picture of an individual’s health. Over the years many have proposed that an answer to freeing health data might be to let patients control it and make sharing decisions directly. That’s the basic idea behind Human API.”
Platforms like Human API are expected to enhance underwriting efficiency whilst giving consumers control of their data and the ability to share them with third parties with reduced privacy concerns
Today, Human API powers 10,000+ applications in 40 countries, across dozens of industries. Although the ultimate aim is to build a next generation health infrastructure that will enable individuals to share data with providers whilst protecting their own privacy, there is a delicate balance here as Human API’s clients will inevitably require more detailed and personalised data sets to deliver tailored healthcare.
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