PubMed · 3586297
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D K Harris. 1987-07-03. Computer-assisted decision support: a new available reality.. https://pubmed.ncbi.nlm.nih.gov/3586297/
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This document comprises an AMIA Board of Directors approved White Paper that presents a roadmap for national action on clinical decision support. It is published in JAMIA for archival and dissemination purposes. The full text of this material has been previously published on the AMIA Web site (www.amia.org/inside/initiatives/cds). AMIA is the copyright holder.
Order sets provide straightforward clinical decision support within computerized provider order entry systems. They make "the right thing" easier to do because they are much faster than writing single orders; they deliver real-time, evidence-based prompts; they are easy to update; and they support coverage of multiple patient problems through linkages among order sets. This viewpoint paper discusses controversies surrounding use of order sets--advantages and pitfalls, decision-making criteria, and organizational considerations, including suggestions for vendors. Order sets have the potential to improve clinician efficiency, provide real-time guidance, facilitate compliance with Joint Commission on Accreditation of Healthcare Organizations and Centers for Medicare and Medicaid Services performance measure sets, and encourage overall acceptance of computerized provider order entry, but may not do so unless these controversies are addressed.
The VisualDx system (http://www.logicalimages.com/prodVDx.htm) is a JAVA-based decision-support program developed by Logical Images to be used in clinical care to develop differential diagnoses based upon morphologic finding- and patient finding-driven searching. It consists of several modules, many of which are very relevant to infectious diseases specialists, such as Fever & Rash; International Travel; Drug Eruptions; Smallpox Vaccination; Terrorism Recognition; Immunocompromised, HIV or AIDS; Female Genital Rashes & Growths; and Male Genital Rashes & Growths. Unlike books and atlases indexed by disease, with VisualDx, clinicians can enter patient descriptors and lesion morphologies, resulting in rapid assistance with differential diagnosis. VisualDx also increases clinician awareness of, knowledge about, and skills in the recognition of chemical warfare, bioterrorism, and radiation injuries.