Results

Total Results: 3,795 records

Showing results for "provider".

61. The effect of provider characteristics on the responses to medication-related decision support alerts. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/health-information-technology-center-education-and-research-therapeutics/citation/effect
    January 01, 2023 - The effect of provider characteristics on the responses to medication-related decision support alerts … The effect of provider characteristics on the responses to medication-related decision support alerts

62. Lessons learned from implementation of computerized provider order entry in 5 community hospitals: a qualitative study. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/health-information-technology-center-education-and-research-therapeutics/citation/lessons-learned-cpoe
    January 01, 2023 - Lessons learned from implementation of computerized provider order entry in 5 community hospitals: a … Lessons learned from implementation of computerized provider order entry in 5 community hospitals: a

63. Issues and questions to consider in implementing secure electronic patient-provider web portal communications systems. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/using-health-information-technology-improve-ambulatory-chronic-disease-care-2
    January 01, 2023 - Issues and questions to consider in implementing secure electronic patient-provider web portal communications … Issues and questions to consider in implementing secure electronic patient-provider web portal communications

64. Boundary negotiating artifacts in personal informatics: patient-provider collaboration with patient-generated data. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/sharing-patient-lifelog-data-primary-care-team-two-patient-populations/citation/boundary
    January 01, 2023 - Boundary negotiating artifacts in personal informatics: patient-provider collaboration with patient-generated … Boundary negotiating artifacts in personal informatics: patient-provider collaboration with patient-generated

65. Supporting patient-provider collaboration to identify individual triggers using food and symptom journals. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/sharing-patient-lifelog-data-primary-care-team-two-patient-populations/citation/supporting
    January 01, 2023 - Supporting patient-provider collaboration to identify individual triggers using food and symptom journals … Supporting patient-provider collaboration to identify individual triggers using food and symptom journals

66. Inter-rater reliability of provider interpretations of irritable bowel syndrome food and symptom journals. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/sharing-patient-lifelog-data-primary-care-team-two-patient-populations/citation/inter-rater
    January 01, 2023 - Inter-rater reliability of provider interpretations of irritable bowel syndrome food and symptom journals … Inter-rater reliability of provider interpretations of irritable bowel syndrome food and symptom journals

67. Glycemic control associated with secure patient-provider messaging within a shared electronic medical record: a longitudinal analysis. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/shared-medical-records-and-chronic-illness-care/citation/glycemic-control
    January 01, 2023 - Glycemic control associated with secure patient-provider messaging within a shared electronic medical … Glycemic control associated with secure patient-provider messaging within a shared electronic medical

68. Provider use of a novel EHR display in the pediatric intensive care unit. Large customizable interactive monitor (LCIM). | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/perception-and-use-patient-care-window-improve-care-and-family-engagement/citation/provider
    January 01, 2023 - Provider use of a novel EHR display in the pediatric intensive care unit. … Provider use of a novel EHR display in the pediatric intensive care unit.

69. Using heuristic evaluation to enhance the visual display of a provider dashboard for patient-reported outcomes. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/developing-design-principles-integrate-patient-reported-outcomes-pros-clinical/citation/heuristic
    January 01, 2023 - Using heuristic evaluation to enhance the visual display of a provider dashboard for patient-reported … Using heuristic evaluation to enhance the visual display of a provider dashboard for patient-reported

70. Ten best practices for improving emergency medicine provider-nurse communication. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/cognitive-engineering-complex-decisionmaking-problem-solving-acute-care/citation/ten
    January 01, 2023 - Ten best practices for improving emergency medicine provider-nurse communication. … Ten best practices for improving emergency medicine provider-nurse communication.

71. The impact of computerized provider order entry on medication errors in a multispecialty group practice. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/evaluating-impact-acpoecds-system-outcomes/citation/impact-computerized
    January 01, 2023 - The impact of computerized provider order entry on medication errors in a multispecialty group practice … The impact of computerized provider order entry on medication errors in a multispecialty group practice

72. Measuring the impact of a health information exchange intervention on provider-based notifiable disease reporting using mixed methods: a study protocol. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/improving-population-health-through-enhanced-targeted-regional-decision-suppo/measuring-the-impact-of-a-health-information-exchange-intervention-on-provider-based-notifiable-disease-reporting-using-mixed-methods-a-study-protocol.
    January 01, 2023 - Measuring the impact of a health information exchange intervention on provider-based notifiable disease … Measuring the impact of a health information exchange intervention on provider-based notifiable disease

73. More than telemonitoring: health provider use and nonuse of life-log data in irritable bowel syndrome and weight management. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/sharing-patient-lifelog-data-primary-care-team-two-patient-populations/citation/more
    January 01, 2023 - More than telemonitoring: health provider use and nonuse of life-log data in irritable bowel syndrome … More than telemonitoring: health provider use and nonuse of life-log data in irritable bowel syndrome

74. Provider and patient satisfaction with the integration of ambulatory and hospital EHR systems. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/data-flow-clinical-outcomes-perinatal-continuum-care-system/citation/provider
    January 01, 2023 - Provider and patient satisfaction with the integration of ambulatory and hospital EHR systems. … Provider and patient satisfaction with the integration of ambulatory and hospital EHR systems.

75. Cross-sectional association of patient language and patient-provider language concordance with video telemedicine use among patients with limited English proficiency | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/patient-choice-telemedicine-encounters/citation/cross
    January 01, 2023 - Cross-sectional association of patient language and patient-provider language concordance with video … Cross-sectional association of patient language and patient-provider language concordance with video

76. Patient and provider experience of electronic patient portals and secure messaging in mental health treatment. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/development-targeted-patient-portal-intervention-improve-depression-treatment/citation/patient
    January 01, 2023 - Patient and provider experience of electronic patient portals and secure messaging in mental health treatment … Patient and provider experience of electronic patient portals and secure messaging in mental health treatment

77. Completeness and timeliness of notifiable disease reporting: a comparison of laboratory and provider reports submitted to a large county health department. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/improving-population-health-through-enhanced-targeted-regional-decision-support/citation/completeness
    January 01, 2023 - Completeness and timeliness of notifiable disease reporting: a comparison of laboratory and provider … Completeness and timeliness of notifiable disease reporting: a comparison of laboratory and provider

78. Artificial Intelligence Tools to Improve Provider Effectiveness and Patient Outcomes (pdf file)
    digital.ahrq.gov/sites/default/files/docs/artificial-intelligence-tools-improve-slides-03182025.pdf
    March 18, 2025 - Artificial Intelligence Tools to Improve Provider Effectiveness and Patient Outcomes Artificial Intelligence … Tools to Improve Provider Effectiveness and Patient Outcomes Presented by: Jeremiah Hinson, M.D., … claim CE credit. 81 https://hitwebinar.cds.affinityced.com Artificial Intelligence Tools to Improve Provider

79. ACHIEVE: Successfully Achieving and Maintaining Euglycemia During Pregnancy for Type 2 Diabetes Through Technology and Coaching | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/achieve-successfully-achieving-and-maintaining-euglycemia-during-pregnancy
    January 01, 2024 - This multicomponent intervention will include a mHealth app, a provider dashboard, continuous glucose … The principles of user-centered design approach will be used in the design of the mHealth app and provider … Identify multi-level patient and provider barriers and facilitators to satisfaction, engagement, and … The PROMPT platform will display data on a provider dashboard for easier visualization and monitoring … Multicomponent provider-patient intervention to improve glycaemic control in Medicaid-insured pregnant

80. Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients/citation/prospective
    January 01, 2023 - Prospective validation of a machine learning model that uses provider notes to identify candidates for … Prospective validation of a machine learning model that uses provider notes to identify candidates for