Elsevier Collaborates With M*Modal to Launch Next-Generation Diagnostic Decision Support Workflow
Elsevier, a global information analytics business specializing in science and health, announced that it has entered into an agreement to offer its STATdx online radiology diagnostic decision support tool through M*Modal Fluency for Imaging, an advanced speech recognition and workflow management system, to deliver the next generation of diagnostic decision support. This combined solution was demonstrated during the Association of Medical Imaging Management (AHRA) 2018 annual meeting in Orlando.
STATdx, written by radiologists in each specialty, increases accuracy and confidence in diagnosing complex imaging cases and includes more than 4,000 common and complex diagnoses, 200,000 expert-selected and annotated image examples, 20,000 easily sortable patient cases with cine clips for select topics and much more.
Currently, medical knowledge is growing at such a rapid pace that clinicians cannot keep up. Reliable information sources are not easily accessible, and healthcare providers must rely on limited sets of information to determine diagnoses. Also, the content from clinician notes is not always in the correct context, which can cause confusion and errors in decision-making. This situation can be resolved by deep workflow integration with intelligent search that connects radiologists with content in the appropriate context to make quicker, more confident diagnosis.