Abstract
For more than a century, nurses have been developing and communicating the knowledge on which their practice is based. Significant scientific research on nursing practice, however, has been under way only since the 1960s. Most nursing knowledge, therefore, has been gleaned from the clinical experience of practitioners and passed down from experts to novices. As a result, it is often idiosyncratic in conceptualization and untested in validity and reliability. Early information systems for nursing care have reflected the largely unsystematic nature of nursing knowledge. That is, they have allowed nurses to share and communicate the kinds of information they believe are useful, but they have provided only the most rudimentary decision support—i.e., standard care plans associated with common problems. Decisions about how to derive diagnoses from data and how to individualize the care plan rest with the cognitive and intuitive processes of the nurse. Developing the next generation of nursing information systems will require that nursing knowledge be codified for incorporation into the systems. Once such systems are in place, they will provide a mechanism for systematically testing existing knowledge and feeding back new knowledge into practice.
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Ozbolt, J.G., Schultz, S., Swain, M.A., Abraham, I.L. (1989). A Proposed Expert System for Nursing Practice: A Springboard to Nursing Science. In: Saba, V.K., Rieder, K.A., Pocklington, D.B. (eds) Nursing and Computers. Computers and Medicine. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3622-1_26
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DOI: https://doi.org/10.1007/978-1-4612-3622-1_26
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