Usability characteristics of self-administered computer-assisted interviewing in the emergency department
| Autor: | A. S. Saber Tehrani, David E. Newman-Toker, Richard E. Rothman, Daniel B. Herrick, Patricia Abbott, S. Rice, B. Nelson, Harold P Lehmann, Atul Nakhasi |
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| Rok vydání: | 2013 |
| Předmět: |
Adult
Male Gerontology medicine.medical_specialty Time Factors Multivariate analysis Adolescent Interview Health Informatics Interviews as Topic Young Adult 03 medical and health sciences Patient safety 0302 clinical medicine Health Information Management Humans Medicine 030212 general & internal medicine Medical History Taking Aged 030504 nursing Descriptive statistics Computers business.industry Usability Emergency department Middle Aged Computer Science Applications Research Design Structured interview Physical therapy Female Self Report Emergency Service Hospital 0305 other medical science business Medical Informatics Research Article Graphics tablet |
| Zdroj: | Applied Clinical Informatics. :276-292 |
| ISSN: | 1869-0327 |
| Popis: | SummaryObjective: Self-administered computer-assisted interviewing (SACAI) gathers accurate information from patients and could facilitate Emergency Department (ED) diagnosis. As part of an ongoing research effort whose long-range goal is to develop automated medical interviewing for diagnostic decision support, we explored usability attributes of SACAI in the ED.Methods: Cross-sectional study at two urban, academic EDs. Convenience sample recruited daily over six weeks. Adult, non-level I trauma patients were eligible. We collected data on ease of use (self-reported difficulty, researcher documented need for help), efficiency (mean time-per-click on a standardized interview segment), and error (self-report age mismatched with age derived from electronic health records) when using SACAI on three different instruments: Elo TouchSystems ESY15A2 (finger touch), Toshiba M200 (with digitizer pen), and Motion C5 (with digitizer pen). We calculated descriptive statistics and used regression analysis to evaluate the impact of patient and computer factors on time-per-click.Results: 841 participants completed all SACAI questions. Few (Discussion: Our results support the facility of interactions between ED patients and SACAI. Demographic factors associated with need for assistance or slower interviews could serve as important triggers to offering human support for SACAI interviews during implementation.Conclusion: Understanding human-computer interactions in real-world clinical settings is essential to implementing automated interviewing as means to a larger long-term goal of enhancing clinical care, diagnostic accuracy, and patient safety.Citation: Herrick DB, Nakhasi A, Nelson B, Rice S, Abbott PA, Tehrani ASS, Rothman RE, Lehmann HP, NewmanToker DE. Usability characteristics of self-administered computer-assisted interviewing in the emergency department. Factors affecting ease of use, efficiency, and entry error. |
| Databáze: | OpenAIRE |
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