NR 541 Week 1 Discussion NI as a specialty...

American Medical Informatics Association : JAMIA, 28(2), 232–238. https://doi.org/10.1093/jamia/ocaa135 Mulac, A., Mathiesen, L., Taxis, K., & Gerd Granås, A. (2021). Barcode medication administration technology use in hospital practice: a mixed- methods observational study of policy deviations. BMJ Quality & Safety, 30(12), 1021–1030. https://doi.org/10.1136/bmjqs-2021- 013223 Pruitt, Z. M., Kazi, S., Weir, C., Taft, T., Busog, D. N., Ratwani, R., & Hettinger, A. Z. (2023). A Systematic Review of Quantitative Methods for Evaluating Electronic Medication Administration Record and Bar- Coded Medication Administration Usability. Applied clinical informatics, 14(1), 185–198. https://doi.org/10.1055/s-0043-1761435 Sloss, E. & Jones, T. (2021). Nurse Cognition, Decision Support, and Barcode Medication Administration. CIN: Computers, Informatics, Nursing, 39 (12), 851-857. https://doi.org/10.1097/CIN.0000000000000724 The data, information, knowledge, wisdom (DIKW) framework “defines how nursing informatics impacts nursing practice and care delivery” (Cato et al., 2020). The INS helps create clinical decision support (CDS) tools to work within the system. Currently, we use a self-service reporting tool that aids nurses in evaluating their “scores” in many nursing care items, including skin assessment, pain assessment and reassessment, and barcode medication administration use. We pair the CDS as our wisdom tool to aid performance measures and benefit patients using real-time data – nurses can see where they may have missed a pain assessment/reassessment and intervene in the moment. This may also be something you find beneficial in your practice area. Jess Cato, K. D., McGrow, K., & Rossetti, S. C. (2020). Transforming clinical data into wisdom: Artificial intelligence implications for nurse leaders. Nursing management, 51(11), 24– 30. https://doi.org/10.1097/01.NUMA.0000719396.83518.d6