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

June 1st, 2016

Categories: Applications, Software, User Groups, Visual Analytics, Visual Informatics, Human Computer Interaction (HCI)

The Hands Ecosystem
The Hands Ecosystem

Authors

Dunn Lopez, K., Febretti, A., Stifter, J., Johnson, A., Wilkie, D.J., Keenan, G.

About

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 the development of multiple CDS system features can be used to translate knowledge into practice.

Resources

PDF

URL

Citation

Dunn Lopez, K., Febretti, A., Stifter, J., Johnson, A., Wilkie, D.J., Keenan, G., Toward a More Robust and Efficient Usability Testing Method of Clinical Decision Support for Nurses Derived from Nursing Electronic Health Record Data, International Journal for Nursing Knowledge, vol 28, no 4, pp. 211–218, June 1st, 2016. https://doi.org/10.1111/2047-3095.12146