University HealthSystem Consortium is pairing with New York University's Langone Medical Center and the Cleveland Clinic to work on seamless exchange of patient data.
The Automated Data Intake (ADI) program will "automatically extract data from the University HealthSystem Consortium (UHC) and seamlessly transfer the data to UHC, and translate data from disparate systems so that it can be compared."
According to an announcement from UHC, ADI was developed for hospitals to easily submit and access clinical and administrative data.
Bernard A. Birnbaum, M.D., senior vice president and vice dean, chief of hospital operations at NYU Langone Medical Center, said in the announcement, "This is an exciting opportunity to pilot the new Automated Intake Data submission methodology, which will enable timely submission and receipt of clinically relevant, actionable data to further enhance the delivery of patient care in a cost efficient manner."
The program should save time by eliminating the step of manual transfer of data and should grant timelier access to more accurate patient outcomes. Instant access to data will allow for data trending and a sharper guide to operational and clinical decisions.
In the announcement, UHC senior vice president for comparative Data and Informatics, Steve Meurer, Ph.D., said, "This seamless integration of data will allow members to access the information they have always dreamed of to fuel improvements in their organization."
Healthcare organizations are increasingly figuring out how to harness big data to improve outcomes and efficiency. In August, FierceHealthIT spoke to CIO of Ochsner Health Sytem, Chris Belmont, about their latest big data projects.
"What's happening is [big data] is starting to go viral; the demand outpaces our ability to deliver. More people want it, and my [response] is, 'let's go get data out of the warehouse,'" Belmont said.
To learn more:
- read the announcement from UHC
Related Articles:
5 ways Ochsner Health System harnesses big data
Ochsner and Intermountain: Access to big data isn't enough
Healthcare execs: We don't want to build software
What's your strategy for big data deployment?
Big data use could save $450 billion in healthcare costs
Evidence supported decisions key to big data success