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 [...]
Author(s): Elson, R B, Faughnan, J G, Connelly, D P
DOI: 10.1136/jamia.1997.0040266