Six cases where big data can reduce healthcare costs

Some of the clearest opportunities to reduce costs through the use of big data have been highlighted by researchers in a new article. Specifically, researchers discuss the role of algorithms in reducing cost in the following categories: high-cost patients, readmissions, triage, decompensation (when a patient's condition worsens), adverse events, and treatment optimization for diseases affecting multiple organ systems.