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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 59
A study to assess the feasibility of implementing a web-based decision aid for birth after cesarean to increase opportunities for shared decision making in ethnically diverse settings.
Citation:
Shorten A, Shorten B, Fagerlin A, Illuzzi J, Kennedy HP, Pettker C, Raju D, Whittemore R. A study to assess the feasibility of implementing a web-based decision aid for birth after cesarean to increase opportunities for shared decision making in ethnically diverse settings. J Midwifery Womens Health. 2019 Jan;64(1):78-87. doi: 10.1111/jmwh.12908. Epub 2018 Oct 18. PMID: 30334330.
Principal Investigator:
Project Name:
Dissemination of a novel framework to improve blood culture use in pediatric critical care.
Citation:
Woods-Hill CZ, Lee L, Xie A, et al. Dissemination of a novel framework to improve blood culture use in pediatric critical care. Pediatr Qual Saf. 2018 Oct 16;3(5):e112. eCollection 2018 Sep-Oct. PMID: 30584639.
Principal Investigator:
Experience with decision support system and comfort with topic predict clinicians' responses to alerts and reminders.
Citation:
Bauer NS, Carroll AE, Saha C, et al. Experience with decision support system and comfort with topic predict clinicians' responses to alerts and reminders. J Am Med Inform Assoc 2016 Apr;23(e1):e125-30. PMID: 26567326.
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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
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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.
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Technology-based interventions for asthma-can they help decrease health disparities?
Citation:
Baptist AP, Islam N, Joseph CL. Technology-based interventions for asthma-can they help decrease health disparities? J Allergy Clin Immunol Pract 2016 Nov -Dec;4(6):1135-42. PMID: 27286777.
Principal Investigator:
Text messaging to improve hypertension medication adherence in African Americans: BPMED intervention development and study protocol.
Citation:
Buis LR, Artinian NT, Schwiebert L, et al. Text messaging to improve hypertension medication adherence in African Americans: BPMED intervention development and study protocol. JMIR Res Protoc 2015 Jan 2;4(1):e1. PMID: 25565680.
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.
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A virtual childhood obesity collaborative: satisfaction with online continuing education.
Citation:
Gance-Cleveland B, Aldrich H, Dandreaux D, et al. A virtual childhood obesity collaborative: satisfaction with online continuing education. J Pediatr Health Care 2015 Sep-Oct;29(5):413-23. PMID: 25777493.
Principal Investigator:
Clinician adherence to childhood overweight and obesity recommendations by race/ethnicity of the child.
Citation:
Gance-Cleveland B, Aldrich H, Schmiege S, et al. Clinician adherence to childhood overweight and obesity recommendations by race/ethnicity of the child. J Spec Pediatr Nurs 2015;20(2):115–22. PMID: 25690907.
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