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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 - 10 of 12
"The doctor needs to know": acceptability of smartphone location tracking for care coordination.
Citation:
Liss DT, Serrano E, Wakeman J, et al. "The doctor needs to know": acceptability of smartphone location tracking for care coordination. JMIR Mhealth Uhealth 2018 May 4;6(5):e112. PMID: 29728349.
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Cognitive tests predict real-world errors: the relationship between drug name confusion rates in laboratory-based memory and perception tests and corresponding error rates in large pharmacy chains.
Citation:
Schroeder SR, Salomon MM, Galanter WL, et al. Cognitive tests predict real-world errors: the relationship between drug name confusion rates in laboratory-based memory and perception tests and corresponding error rates in large pharmacy chains. BMJ Qual Saf 2017 May;26(5):395-407. PMID: 27193033.
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Benzodiazepine-opioid co-prescribing in a national probability sample of ED encounters.
Citation:
Kim HS, McCarthy DM, Mark Courtney D, et al. Benzodiazepine-opioid co-prescribing in a national probability sample of ED encounters. Am J Emerg Med 2017 Mar;35(3):458-64. PMID: 27923527.
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Learning from errors: analysis of medication order voiding in CPOE systems.
Citation:
Kannampallil TG, Abraham J, Solotskaya A, et al. Learning from errors: analysis of medication order voiding in CPOE systems. J Am Med Inform Assoc 2017 Feb 19. doi: 10.1093/jamia/ocw187. PMID: 28339698.
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Automated detection of look-alike/sound-alike medication errors.
Citation:
Rash-Foanio C, Galanter W, Bryson M, et al. Automated detection of look-alike/sound-alike medication errors. Am J Health Syst Pharm 2017 Apr 1;74(7):521-527. PMID: 28336762.
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Detection and prediction limits for identifying highly confusable drug names from experimental data.
Citation:
Lambert BL, Bhaumik R, Zhao W, et al. Detection and prediction limits for identifying highly confusable drug names from experimental data. J Biopharm Stat 2016;26(2):365–85. PMID: 26011079.
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Characterizing the pain score trajectories of hospitalized adult medical and surgical patients: a retrospective cohort study.
Citation:
Kannampallil T, Galanter WL, Falck S, et al. Characterizing the pain score trajectories of hospitalized adult medical and surgical patients: a retrospective cohort study. Pain 2016 Dec;157(12):2739-46. PMID: 27548045.
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Patient-centered priorities for improving medication management and adherence.
Citation:
McMullen CK, Safford MM, Bosworth HB, et al. Patient-centered priorities for improving medication management and adherence. Patient Educ Couns 2015;98(1):102–10. PMID: 25448313.
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A primary care, electronic health record-based strategy to promote safe drug use: study protocol for a randomized controlled trial.
Citation:
Przytula K, Bailey SC, Galanter WL, et al. A primary care, electronic health record-based strategy to promote safe drug use: study protocol for a randomized controlled trial. Trials 2015 Jan 27;16:17. PMID: 25622970.
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Meaningful use of electronic health records: experiences from the field and future opportunities.
Citation:
Slight SP, Berner ES, Galanter W, et al. Meaningful use of electronic health records: experiences from the field and future opportunities. JMIR Med Inform 2015 Sep 18;3(3):e30. PMID: 26385598.
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