Typed Versus Voice Recognition for Data Entry in Electronic Health Records: Emergency Physician Time Use and Interruptions
| Autor: | dela Cruz, Jonathan E., Shabosky, John C., Albrecht, Matthew, Clark, Ted R., Milbrandt, Joseph C., Markwell, Steven J., Kegg, Jason A. |
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| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Technology in Emergency Care
Time Factors lcsh:R lcsh:Medical emergencies. Critical care. Intensive care. First aid lcsh:Medicine lcsh:RC86-88.9 User-Computer Interface Electronic Health Records Humans Forms and Records Control Prospective Studies Practice Patterns Physicians' Emergency Service Hospital Speech Recognition Software Original Research |
| Zdroj: | Western Journal of Emergency Medicine, Vol 15, Iss 4, Pp 541-547 (2014) Western Journal of Emergency Medicine |
| Popis: | Introduction: Use of electronic health record (EHR) systems can place a considerable data entry burden upon the emergency department (ED) physician. Voice recognition data entry has been proposed as one mechanism to mitigate some of this burden; however, no reports are available specifically comparing emergency physician (EP) time use or number of interruptions between typed and voice recognition data entry-based EHRs. We designed this study to compare physician time use and interruptions between an EHR system using typed data entry versus an EHR with voice recognition. Methods: We collected prospective observational data at 2 academic teaching hospital EDs, one using an EHR with typed data entry and the other with voice recognition capabilities. Independent raters observed EP activities during regular shifts. Tasks each physician performed were noted and logged in 30 second intervals. We compared time allocated to charting, direct patient care, and change in tasks leading to interruptions between sites. Results: We logged 4,140 minutes of observation for this study. We detected no statistically significant differences in the time spent by EPs charting (29.4% typed; 27.5% voice) or the time allocated to direct patient care (30.7%; 30.8%). Significantly more interruptions per hour were seen with typed data entry versus voice recognition data entry (5.33 vs. 3.47; p=0.0165). Conclusion: The use of a voice recognition data entry system versus typed data entry did not appear to alter the amount of time physicians spend charting or performing direct patient care in an ED setting. However, we did observe a lower number of workflow interruptions with the voice recognition data entry EHR. Additional research is needed to further evaluate the data entry burden in the ED and examine alternative mechanisms for chart entry as EHR systems continue to evolve. |
| Databáze: | OpenAIRE |
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