Parallel computing wresting population health data
The shift to value-based care has one certainty for data processing: the need for more horsepower will accelerate. More medical devices will capture more data. And as analytics lead to new discoveries, increasingly sophisticated queries are inevitable.
Among the analytics specialists coming to market, Cleveland Clinic spin-off Explorys is looking to help companies make smarter use of clinical and claims data to better understand risk within patient populations and, ultimately, how to mitigate that risk.
Gazing into the future, Explorys is working on “a very secure user interface,” calculation engines, parallel computing and storage capabilities, extending its cloud-based service, patient matching algorithms and risk models, Explorys chief medical officer Anil Jain, MD told Healthcare IT News.
The company is also working to incorporate single sign-on, integrate with EHR platforms, embed third-party risk models, and enable the Explorys platform to hook into care management solutions.
“We’re putting those functions under a single wrapper and thinking about it as an interoperability platform,” Jain said.
Explorys will be demonstrating those capabilities on the HIMSS15 show floor.
“We’ll be showcasing our work around the harmonization of clinical and claims data to understand risk stratification of those patients and to mitigate risk across populations in value-based care programs,” Jain explained.
Those challenges frequently include working with disparate claims data from a variety of payers, a range of workflows within healthcare systems that make it thorny to interpret that information as well as data governance — all against the backdrop of expanding data sources and payment models.