Using technologies originally developed to evaluate complex investments and portfolios, a new data-driven simulator is being developed to help individuals and families evaluate health plans and select the health insurance policies most likely to meet their projected needs, with realistic cost estimates under a wide range of potential healthcare outcomes.
The simulator’s ability to predict usage and costs for a variety of health services-both typical and unexpected-and to be tailored to specific attributes of families, physicians, or other factors, is highlighted in an article in Big Data, the highly innovative, peer-reviewed journal from Mary Ann Liebert, Inc., publishers.
