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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 10
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:
Machine learning techniques for prediction of early childhood obesity.
Citation:
Dugan TM, Mukhopadhyay S, Carroll A, et al. Machine learning techniques for prediction of early childhood obesity. Appl Clin Inform 2015 Aug 12;6(3):506-20. PMID: 26448795
Principal Investigator:
Virtual obesity collaborative with and without decision-support technology.
Citation:
Gance-Cleveland B, Aldrich H, Schmiege S, et al. Virtual obesity collaborative with and without decision-support technology. Int J Qual Health Care 2016 Jun;28(3):316-23. PMID: 27029592.
Principal Investigator:
How do residents spend their time in the intensive care unit?
Citation:
Carayon P, Weinger MB, Brown R, et al. How do residents spend their time in the intensive care unit? Am J Med Sci 2015 Nov;350(5):403–8. PMID: 26171828.
Principal Investigator:
Project Name:
Secondhand smoke exposure, parental depressive symptoms and preschool behavioral outcomes.
Citation:
Bauer NS, Anand V, Carroll AE, et al. Secondhand smoke exposure, parental depressive symptoms and preschool behavioral outcomes. J Pediatr Nurs 2015 Jan-Feb;30(1):227-35. PMID: 25017291.
Principal Investigator:
Pediatricians' responses to printed clinical reminders: does highlighting prompts improve responsiveness?
Citation:
Hendrix KS, Downs SM, Carroll AE. Pediatricians' responses to printed clinical reminders: does highlighting prompts improve responsiveness? Acad Pediatr 2015 Mar-Apr;15(2):158-64. PMID: 25619917.
Principal Investigator:
Machine learning techniques for prediction of early childhood obesity.
Citation:
Dugan TM, Mukhopadhyay S, Carroll A, et al. Machine learning techniques for prediction of early childhood obesity. Appl Clin Inform 2015 Aug 12;6(3):506-20. PMID: 26448795
Principal Investigator:
Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial.
Citation:
Carroll AE, Bauer NS, Dugan TM, et al. Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial. JAMA Pediatr 2014 Sep;168(9):815-21. PMID: 25022724.
Principal Investigator:
Patient-tailored prioritization for a pediatric care decision support system through machine learning.
Citation:
Klann JG, Anand V, Downs SM. Patient-tailored prioritization for a pediatric care decision support system through machine learning. J Am Med Inform Assoc 2013 Dec;20(e2):e267-74. PMID: 23886921.
Principal Investigator:
Use of an electronic health record clinical decision support tool to improve antibiotic prescribing for acute respiratory infections: the ABX-TRIP study.
Citation:
Litvin CB, Ornstein SM, Wessell AM, et al. Use of an electronic health record clinical decision support tool to improve antibiotic prescribing for acute respiratory infections: the ABX-TRIP study. J Gen Intern Med 2013 Jun;28(6):810-6. PMID: 23117955.
Principal Investigator:
