Analytics
Universities are key incubators of "early-stage, high-risk, high-yield research that transfers to the private sector."
The cloud-based service, dubbed myAva, can be used to analyze biometric, genomic, molecular and patient-generated data to create digital profiles of patients that inform care plans.
Medical University of South Carolina taps Avantas to apply predictive analytics to workforce manage…
MUSC said the Avantas services can help it determine patient capacity and labor needs 120 days into the future.
Startup intends to use the funding to scale its EHR-agnostic cloud-based service and analytics for helping doctors determine the best treatment options for patients.
Case study: Children's Hospital of Pittsburgh develops customized prediction indicator for children…
Children's Hospital of Pittsburgh of UPMC was the first pediatric hospital in the U.
Case Study: St. Joseph Healthcare sees dramatic improvement serving high-risk population with Healt…
Harnessing analytics has led to big gains for Maine-based health system to dramatically reduce readmissions, identify high-risk patients and utilize real-time data.
The analytics startup’s research also found that less than one quarter will reach the Centers for Medicare and Medicaid Services goal by 2019, a year after CMS anticipates half of payments to be value-based.
There are two major roadblocks for analytics in healthcare, says Sriram Vishwanath, professor of engineering and data science at University of Texas, Austin.
Providers poised to ratchet up spending on clinical and business intelligence tools, HIMSS Analytic…
Fewer than half of healthcare organizations participating in a recent survey are currently using C&BI tools. But HIMSS Analytics anticipates that the shift to value-based care and advances in predictive and prescriptive analytics technologies could change that in the near-term.
The research and advocacy group is calling upon data scientists and computational analysts to leverage its database to expand understanding of the disease.