Work

Toward a More Robust and Efficient Usability Testing Method of Clinical Decision Support for Nurses Derived From Nursing Electronic Health Record Data

Year: 2016

Type: article

Abstract: 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.

Source: International Journal of Nursing Knowledge

DOI: 10.1111/2047-3095.12146

Authors: Karen Dunn Lopez, Alessandro Febretti, Janet Stifter, Andrew Johnson, Diana J. Wilkie, Gail Keenan

Institutions: University of Illinois Chicago, University of Florida, University of Florida Health

Language: English

Topic: Electronic Health Records Systems

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute of Nursing Research