On Friday, March 8, 2016, at the Yale Healthcare Conference, Healthjump’s CEO, Martin Aboitiz, and CTO Cliff Cavanaugh spoke at a the panel titled “The Personalized Medicine Promise: Big Data Leads to Big Collaborations”. Other panel members included a physician, Joe Kimura, MD, CMO of Atrius Health (who moderated), and the healthcare business strategist Derek Riesenberg, VP of Life Sciences at Parthenon-EY.
The promise of Big Data, both for population scale medicine and for individualized, personalized, medicine is reaping some benefits today, yet it is expected to revolutionize healthcare in the long term. This revolution requires adequate data access from outside of the current health data silos, and the aggregate view of data sourced from all providers, medical devices, and quantified self devices and apps. Healthjump’s contributions to the discussion were regarding data flow, availability, and software architecture. The panel provided an exciting view of what is possible today, what will be possible tomorrow, the challenges to be addressed, and the business opportunities along the way.
Graph By Jeremykemp at English Wikipedia, The underlying concept was conceived by Gartner, Inc
I do want to make sure we separate today’s limited reality from tomorrow’s promise. In the Tech Hype Cycle we have barely passed the “Trough of Disillusionment” and are beginning to climb the “Slope of Enlightenment” for Big Data in healthcare. This is particularly true when it comes to the title matter of personalized health. In population health we have been using some form of big data for a long time, even back to 1854 when John Snow identified the source of Colera in London. The problem is how to get the data, maintain security, maintain integrity and provide proper access. That is what Healthjump is working on!. Given adequate access to data, and large scale data gathering, individuals and health systems will reach the “Plateau of Productivity”