RESUMEN
Many of the benefits of computerized physician order entry (CPOE) stem from its ability to support medical decision-making and error-reduction during patient care. This automated "intelligence" is typically represented by a network of rules. We describe a taxonomic representation of clinical decision-support rules in the context of developing and implementing a de novo CPOE and decision-support system. In our experience, this clinical rules taxonomy facilitated our implementation goals in the areas of physician acceptance and approval, rules construction and maintenance, and technical development and testing. This rules taxonomy may eventually be used to establish standards by which CPOE-based decision-support is measured.
Asunto(s)
Sistemas de Apoyo a Decisiones Clínicas/organización & administración , Sistemas de Información en Hospital , Interfaz Usuario-Computador , Centros Médicos Académicos , Toma de Decisiones Asistida por Computador , Sistemas de Apoyo a Decisiones Clínicas/clasificación , Sistemas de Apoyo a Decisiones Clínicas/normas , Sistemas Especialistas , Humanos , Los Angeles , Sistemas de Registros Médicos ComputarizadosRESUMEN
CONTEXT: Health care providers have expressed increasing interest in incorporating digital images of gross pathology specimens and photomicrographs in routine pathology reports. OBJECTIVE: To describe the multiple technical and logistical challenges involved in the integration of the various components needed for the development of a system for integrated Web-based viewing, storage, and distribution of digital images in a large health system. DESIGN: An Oracle version 8.1.6 database was developed to store, index, and deploy pathology digital photographs via our Intranet. The database allows for retrieval of images by patient demographics or by SNOMED code information. SETTING: The Intranet of a large health system accessible from multiple computers located within the medical center and at distant private physician offices. RESULTS: The images can be viewed using any of the workstations of the health system that have authorized access to our Intranet, using a standard browser or a browser configured with an external viewer or inexpensive plug-in software, such as Prizm 2.0. The images can be printed on paper or transferred to film using a digital film recorder. Digital images can also be displayed at pathology conferences by using wireless local area network (LAN) and secure remote technologies. CONCLUSIONS: The standardization of technologies and the adoption of a Web interface for all our computer systems allows us to distribute digital images from a pathology database to a potentially large group of users distributed in multiple locations throughout a large medical center.