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The effect of data-entry template design and anesthesia provider workload on documentation accuracy, documentation efficiency, and user-satisfaction.

Authors :
Wilbanks, Bryan A.
Berner, Eta S.
Alexander, Gregory L.
Azuero, Andres
Patrician, Patricia A.
Moss, Jacqueline A.
Source :
International Journal of Medical Informatics. Oct2018, Vol. 118, p29-35. 7p.
Publication Year :
2018

Abstract

<bold>Introduction: </bold>Currently, there are few evidence-based guidelines to inform optimal clinical data-entry template design that maximizes usability while reducing unintended consequences. This study explored the impact of data-entry template design and anesthesia provider workload on documentation accuracy, documentation efficiency, and user-satisfaction to identify the most beneficial data-entry methods for use in future documentation interface design.<bold>Methodology: </bold>A study using observational data collection and psychometric instruments (for perceived workload and user-satisfaction) was conducted at three hospitals using different methods of data-entry for perioperative documentation (auto-filling with unstructured data, computer-assisted data selection with semi-structured documentation, and paper-based documentation). Nurse anesthetists at each hospital (N = 30) were observed completing documentation on routine abdominal surgical cases.<bold>Results: </bold>Auto-filling (61.2%) had the lowest documentation accuracy scores compared to computer-assisted (81.3%) and paper-based documentation (76.2%). Computer-assisted data-entry had the best documentation efficiency scores and required the least percentage of the nurse anesthetists' time (9.65%) compared to auto-filling (11.43%) and paper-based documentation (15.23%). Paper-based documentation had the highest perceived workload scores (M = 288, SD = 88) compared to auto-filling (M = 160, SD = 93, U = 16.5, p < 0.01) and computer assisted data-entry (M = 93, SD = 50, U = 4.0, P < 0.001).<bold>Conclusions: </bold>Auto-filling with unstructured data needs to be used sparingly because of its low documentation accuracy. Computer-assisted data entry with semi-structured data needs to be further study because of its better documentation accuracy, documentation efficiency, and perceived workload. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13865056
Volume :
118
Database :
Academic Search Index
Journal :
International Journal of Medical Informatics
Publication Type :
Academic Journal
Accession number :
131430390
Full Text :
https://doi.org/10.1016/j.ijmedinf.2018.07.006