Toward a More Robust and Efficient Usability Testing Method of Clinical Decision Support for Nurses Derived From Nursing Electronic Health Record Data
| Autor: | Janet Stifter, Diana J. Wilkie, Alessandro Febretti, Karen Dunn Lopez, Gail M. Keenan, Andrew Johnson |
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| Rok vydání: | 2016 |
| Předmět: |
Knowledge management
030504 nursing Research and Theory business.industry Usability Health informatics Clinical decision support system Terminology 03 medical and health sciences 0302 clinical medicine Workflow Nursing Quota sampling Medicine Fundamentals and skills 030212 general & internal medicine 0305 other medical science business Nursing process Coding (social sciences) |
| Zdroj: | International Journal of Nursing Knowledge. 28:211-218 |
| ISSN: | 2047-3087 |
| DOI: | 10.1111/2047-3095.12146 |
| Popis: | PURPOSE To develop methods for rapid and simultaneous design, testing, and management of multiple clinical decision support (CDS) features to aid nurse decision-making. METHODS We used quota sampling, think-aloud and cognitive interviews, and deductive and inductive coding of synchronized audio video data and archival libraries. FINDINGS Our methods and organizational tools allowed us to rapidly improve the usability, understandability, and usefulness of CDS in a generalizable sample of practicing nurses. CONCLUSIONS The method outlined allows the rapid integration of nursing terminology based electronic health record data into routine workflow and holds strong potential for improving patient outcomes. IMPLICATIONS FOR NURSING PRACTICE The methods and organizational tools for development of multiple CDS system features can be used to translate knowledge into practice. |
| Databáze: | OpenAIRE |
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