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Biomedical subjects

J G Faughnan

Publications and source records attributed to J G Faughnan.

7 recordsLinked to original sources

Information technology and the clinical curriculum: some predictions and their implications for the class of 2003.

Information technology, medical knowledge, and medical practice are on a collision course. The consequences of the impact will change the way physicians work, the way medical knowledge is processed, packaged, and distributed, and the way patients obtain medical care and information. Today's educators need to design an information technology curriculum to prepare students for this emerging world of practice. Computer labs, based on today's complex and unreliable desktop systems, are not the answer. What is needed by students who entered medical school in 1997-98 is an informatics curriculum that is based on the real-world requirements of 2003 and beyond. The authors draw upon academic studies and their own clinical and industry experiences to outline some predictable elements of what lies ahead. Their predictions--ubiquitous, simple network computing and "power tools" for managing medical knowledge--have implications for how schools cover such educational topics as patient confidentiality, systems thinking and error management, and knowledge resource evaluation.

Computer Communication Networks↗

Cruising the information highway: online services and electronic mail for physicians and families.

Commercial online service providers, bulletin board services, and the Internet make up the rapidly expanding "information highway." Physicians and their families can use these services for professional and personal communication, for recreation and commerce, and to obtain reference information and computer software. Commercial providers include America Online, CompuServe, GEnie, and MCIMail. Internet access can be obtained indirectly through America Online or directly through specialized access providers. Today's online services are destined to evolve into a National Information Infrastructure that will change the way we work and play.

Computer Communication Networks↗

An industrial process view of information delivery to support clinical decision making: implications for systems design and process measures.

Clinical decision making is driven by information in the form of patient data and clinical knowledge. Currently prevalent systems used to store and retrieve this information have high failure rates, which can be traced to well-established system constraints. The authors use an industrial process model of clinical decision making to expose the role of these constraints in increasing variability in the delivery of relevant clinical knowledge and patient data to decision-making clinicians. When combined with nonmodifiable human cognitive and memory constraints, this variability in information delivery is largely responsible for the high variability of decision outcomes. The model also highlights the supply characteristics of information, a view that supports the application of industrial inventory management concepts to clinical decision support. Finally, the clinical decision support literature is examined from a process-improvement perspective with a focus on decision process components related to information retrieval. Considerable knowledge gaps exist related to clinical decision support process measurement and improvement.

Cognition↗