Isabel

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Improve Diagnosis Accuracy at the Point-of-Care with the Premier Diagnosis Decision Support Tool

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This leading diagnosis decision support resource is designed to produce a differential list and stimulate thinking when there is diagnostic doubt or questions. It complements the clinician's knowledge and expertise by offering access to evidence-based content that can rapidly assist in determining or confirming a diagnosis, while helping to answer the question "What else might be going on?".

For a given set of signs and symptoms, Isabel presents the clinician with a list of likely diagnoses to consider, and each diagnosis is linked to knowledge to help with further investigation, potential testing and treatment. Studies have proven that clinicians who use Isabel early are able to substantially reduce clinical risk by ensuring that important possible diagnoses have not been missed. 
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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 in a standalone mode. Isabel uses the information routinely captured during the patient workup, whether free text or structured data, and instantaneously provides a diagnosis checklist for review. The checklist contains a list of possible diagnoses with critical “Don’t Miss Diagnoses” flagged. When integrated into an EMR system, Isabel can provide “one click” seamless diagnosis support with no additional data entry. 

Diagnosis-Driven Knowledge from “Gold Standard” Sources

Isabel uniquely presents clinicians with diagnosis-driven knowledge from disparate “gold standard” sources, such as textbooks, journal abstracts, well-known web resources and hospital specific protocols—helping clinicians to ask the right questions, and thereby make more effective use of knowledge. 

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 nine 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. 
 

Seamless Integration with DynaMed

Institutions using both clinical decision support resources Isabel and DynaMed will benefit from tighter integration of the two tools. Linking between the two resources brings the evidence-based content from DynaMed into Isabel's diagnostic process, and allows users easier access directly at the point-of-need, regardless of whether a search begins in Isabel or DynaMed.

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