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Translation of Research Models into Clinical Practice

Many innovative techniques have been applied to address problems in medical diagnosis and healthcare delivery. Unfortunately, the vast majority of these do not make the transition into clinical practice for a number of reasons, some technical and others organizational. Technical reasons include inadequate communication between systems developers and medical professionals, limited scope of models, and user interface issues including difficulty of use and unavailability of information required by the software. Organizational issues include lack of buy-in by medical professionals and administrators, requirements for change in workflow, and resistance to technical solutions. In this article, these roadblocks are examined and a system design is presented that can begin to address a number of them.