Google has been working with one of the largest healthcare systems in the U.S. to collect and analyze the personal health information of millions of citizens across 21 states, The Wall Street Journal reports.
The Tech giant reportedly teamed up with St. Louis-based Ascension, the largest non-profit health system in the country, last year, and the data sharing has accelerated since summer.
Code-named Nightingale, the project saw both companies collect personal data from patients, which included lab results, doctor diagnoses, and hospitalization records, as well as patient names and dates of birth.
Google said it plans to use the data to create new software that will improve patient care and suggest changes to their care.
Patients and doctors were not notified that their data is being shared, and did not give their consent, according to the report.
One individual who was familiar with the project told the Journal that at least 150 Google employees already have access to much of the data on tens of millions of patients.
Just hours after the secret project was revealed, the two companies announced the collaboration in a press release, in which they said the joint project would see Ascensions data moved onto Googles Cloud platform.
The statement said the joint project aims to “optimize the health and wellness of individuals and communities and deliver a comprehensive portfolio of digital capabilities that enhance the experience of Ascension consumers, patients, and clinical providers across the continuum of care.”
Eduardo Conrado, Executive Vice President of Strategy and Innovations at Ascension, said: “As the healthcare environment continues to rapidly evolve, we must transform to better meet the needs and expectations of those we serve as well as our own caregivers and healthcare providers.
“Doing that will require the programmatic integration of new care models delivered through the digital platforms, applications, and services that are part of the everyday experience of those we serve.”
The partnership will also explore artificial intelligence and machine learning applications to help improve clinical quality, and effectivenRead More – Source