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The Premier Diagnosis Decision Support Tool

Isabel is used by physicians around the world to help construct or broaden a differential diagnosis. By entering the information normally captured in a patient workup, physicians are provided with a list of possible diagnoses to help them construct their thinking and assist with making an accurate final diagnosis quickly and easily at the point of care. More than 20 articles highlighting Isabel’s accuracy, effectiveness, and value have been published in prestigious peer-reviewed journals. Isabel integrates with EMRs and with the evidence-based reference tools that physicians use every day. In addition Isabel, helps physicians fulfill continuing education requirements and provides easy access from mobile devices.

A Valuable Resource at the Point of Care via EMR

Isabel is an easy to use web-based solution that can be deployed either as an integrated part of the EMR or as a standalone application. Isabel uses the information routinely captured during the patient workup, whether free text or structured data, and instantaneously provides a differential diagnosis checklist for review. Critical “Don’t Miss Diagnoses” are red flagged and are diagnoses which could cause significant harm if they are not considered. When integrated into an EMR system, Isabel can provide “one click” seamless diagnosis support with no additional data entry.

Seamless Integration with DynaMed

Isabel and DynaMed™ work together to give physicians the evidence-based information they need to provide the best care to their patients. Institutions using both clinical decision support resources, Isabel and DynaMed will benefit from seamless integration of the two resources. This brings the evidence-based content from DynaMed into Isabel's diagnostic process and allows users easier access directly at the point-of-care, regardless of whether a search begins in Isabel or DynaMed. Isabel and DynaMed’s integration provide a powerful combination of differential diagnosis support backed by the most current clinical evidence about diseases, drugs and treatments.

Peer-Review Validation

Isabel has set new standards for the clinical testing of decision support systems in health care, having undergone a robust, peer-reviewed validation process over fifteen years to demonstrate its accuracy, effectiveness and value. To date, over 20 articles, including independent clinical studies, multi-center collaborative studies and internal studies have appeared in prestigious peer-reviewed journals.