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AHRQ Health IT Projects Publication Database
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This database serves as a central repository for publications resulting from AHRQ Health IT funded work that is PubMed or Google Scholar indexed, including: book chapters, journal articles, conference proceedings, and reports from funded contracts.
Displaying 1 - 5 of 5
Accuracy of emergency department triage using the Emergency Severity Index and independent predictors of under-triage and over-triage in Brazil: a retrospective cohort analysis.
Citation:
Hinson JS, Martinez DA, Schmitz PSK, et al. Accuracy of emergency department triage using the Emergency Severity Index and independent predictors of under-triage and over-triage in Brazil: a retrospective cohort analysis. Int J Emerg Med 2018 Jan 15;11(1):3. PMID: 29335793.
Principal Investigator:
Triage performance in emergency medicine: a systematic review.
Citation:
Hinson JS, Martinez DA, Cabral S, et al. Triage performance in emergency medicine: a systematic review. Ann Emerg Med. 2018 Nov 20. pii: S0196-0644(18)31282-4. doi: 10.1016/j.annemergmed.2018.09.022. [Epub ahead of print] PMID: 30470513.
Principal Investigator:
Machine-learning-based electronic triage more accurately differentiates patients with respect to clinical outcomes compared with the emergency severity index.
Citation:
Levin S, Toerper M, Hamrock E, et al. Machine-learning-based electronic triage more accurately differentiates patients with respect to clinical outcomes compared with the emergency severity index. Ann Emerg Med 2017 Sep 6. pii: S0196-0644(17)31442-7. PMID: 28888332.
Principal Investigator:
Accuracy and reliability of emergency department triage using the emergency severity index: an international multicenter assessment.
Citation:
Mistry B, Stewart De Ramirez S, Kelen G, et al. Accuracy and reliability of emergency department triage using the emergency severity index: an international multicenter assessment. Ann Emerg Med 2017 Nov 23. pii: S0196-0644(17)31745-6. PMID: 29174836.
Principal Investigator:
Feasibility of a computerized clinical decision support system for treating tobacco use in dental clinics.
Citation:
Montini T, Schenkel AB, Shelley DR. Feasibility of a computerized clinical decision support system for treating tobacco use in dental clinics. J Dent Educ 2013 Apr;77(4):458-62.
Principal Investigator:
