Analytics

Fundamental issues related to executive support, staff buy-in and patient risk stratification need to be understood and addressed before machine learning applications can help with population health goals.

The health system used its new population health tools to better manage patient care, ER use, pre-visit planning and value-based care.

Designed for its Edison platform, the program will offer services meant to help developers to build better models for operational and clinical improvements.

The center will use precision genomics to discover, address and treat genetic diseases, many of which affect infants and children and can cause life-long disability.

The Arizona health system's tech-driven pilot effort has resulted in a 21.6% average reduction in A1c, and 83% of patients report an increase in confidence to self-manage their diabetes.

By investing in R&D for the HL7 spec, the National Institutes of Health can boost the utility of EHR data for research, and encourage other clinical innovations, the informatics group says.

The veteran technologist talked to Healthcare IT News about interoperability, AI and social determinants of health.

The number of patients booking after hours shows the technology is working for the patient and is providing the right experience – one they are used to in other facets of their daily lives, a VP said.

Through interoperability and integration with InterSystems’ IRIS for Health Data Platform, Virtusa consumers will have broader access to patient data from electronic health record systems and other clinical applications.

The health system's second "big omics data engine," or BODE 2, funded in part by HHS, will have 15 terabytes of memory, 14 petabytes of raw storage and a peak speed of 220 teraflops per second – nearly double that of its predecessor.