Improved patient outcomes and reduced costs highlight crucial link between electronic medical data and clinical practice guidelines
A new clinical study published today in this months American Journal of Managed Care demonstrated that a technology-driven clinical decision support system applying evidence-based clinical guidelines to patients electronic medical data helps flag potentially serious clinical errors or deviations from accepted best practices, while making a significant improvement on the cost and quality of medical care.
This 12-month randomized, prospective study of 39,462 members of QualChoice, a University Hospitals Health System healthcare plan in Cleveland, Ohio, is the first ever large-scale study of a clinical decision support system conducted in an outpatient health plan environment. Researchers for ActiveHealth Management evaluated the cost impact of ActiveHealths clinical decision support tool, the CareEngine® system. The CareEngine clinical decision support system compares the most up-to-date, evidence-based clinical guidelines to an individual patients data in order to identify clinical interventions and issue clinical recommendations – called Care Considerations -- spanning a wide range of disease categories. In the study, each patient was randomized either to the intervention group – the group that would receive Care Considerations – or the control group – those for whom Care Considerations were identified, but not communicated.
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