Care Management, Data Analytics and Informatics

As new and more adopted technologies such as EMR’s, Computerized Physician Order Entry (CPOE), e-prescribing, on-line reporting and appointment scheduling become more pervasive, critical programs such as wellness, disease management, mental/behavioral health support systems, real-time decision support, case management, customer segmentation, and protocol/rules development will drive more investment in data and analytics. Developments will also move these functions from the back-office to a more prominent role in healthcare. Real-time, actionable, operational, clinical insights will help to eliminate errors, better identify care options, improve outcomes, quality and lower costs. Challenges will include new and disparate data sources, new ways to access the data, determining where and how to store the data and data exchange strategies to prioritize, manage, analyze, track and communicate outcomes and adjust protocols. Clinical information, supported by health plans, will be broad and deep, enabling caregivers to more precisely identify diagnoses and target treatment.