Partners HealthCare: "I sing the General Electric"

Massachusetts-based Partners HealthCare partnered with GE Healthcare last week on a projected 10-year collaboration to bring greater use of AI-based deep learning technology to healthcare. across the entire continuum of care. The collaboration will be executed through the newly formed Massachusetts General Hospital and Brigham and Women’s Hospital Center for Clinical Data Science and will feature co-located, multidisciplinary teams with broad access to data, computational infrastructure and clinical expertise.

The deal is something of a stake in the ground, as GE moves its HQ up from Conn to Boston. In the long term, Partners and GE hope to create new businesses around AI and healthcare.

The initial focus of the relationship will be on the development of applications aimed to improve clinician productivity and patient outcomes in diagnostic imaging. It will be interesting, as more details emerge, to see how this effort compares or contrasts with efforts such as IBM Watson Imaging Clinical Review -- a cognitive imaging offering from that company's Watson Health operation as part of a collaborative of 24 organizations worldwide. - Smiling Jack Shroud


http://www.partners.org/Newsroom/Press-Releases/Partners-GE-Healthcare-Collaboration.aspx

http://www-03.ibm.com/press/us/en/pressrelease/51643.wss

30 Second History of Corporate Data Processing

I just finished some research on definition of data. Hope to point it out when it happens.

http://dispatchtelegraph.tumblr.com/post/160228081249/evolution-of-the-new-york-times-front-page

What I learned: Data sort of went into a new era with Claude Shannon's work in Boolean math and data compression and cryptography which was near concurrent with birth of transistors and the advent of electronic and magnetic representation of data signals in and around the computer. Of course there was a sidestep (and homage to Hollerith and Jacquard) with punch cards - which carried the anti-conformist message of the time: Don't bend fold or mutilate me.

Next up were databases that organized data in an increasingly efficient way. Then relational databases which had such use in business, and SPSS, which had use in statistics, sociology and academia.

All along the way, data becoming more of a commodity  - and a series of professions building up around its evolution as a commodity. Until the advent of big data - that being unstructured data on the main - data coming from outside of the organization - data being created by consumers as they do their activity.

Until you have today's world, with data as a business - in the cases of companies like Google and Facebook, being the total basis of their business -- and you have concerns about data privacy. - Jack Vaughan