Transforming Health Care With Big Data Analytics
Informatics provides actionable information and insights that employers, brokers, and providers need to understand the health of their employees, customers, and patients and make more-informed benefit and clinical decisions.
By analyzing millions of health care records, from medical claims and lab results to customer service call logs and membership demographics, and drawing from nearly 80 years of experience, Informatics creates practical reports and predictive models that highlight:
- Patterns of care utilization
- Customer trends
- Likelihood of hospital admissions
- Cost-of-care estimators
- At-risk members
- Gaps in clinical care
This combination of big data analytics and highly accurate predictive models has been shown to help improve health outcomes and cost savings.
Assessing care delivery models through outcomes research and program evaluations
Informatics also performs program evaluations and health services research to measure the impact of care management and delivery models on health care outcomes. Some of our recent peer-reviewed journal articles on patient-centered medical home (PCMH) utilization, cost, and impacts on emergency department visits and patients with chronic conditions appear in The Journal of Public Health Management and Practice, The American Journal of Managed Care, and Health Services Research.