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81. A large-scale knowledge management method based on the analysis of the use of online knowledge resources. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/context-aware-knowledge-delivery-electronic-health-records/citation/large-scale
    January 01, 2023 - A large-scale knowledge management method based on the analysis of the use of online knowledge resources … A large-scale knowledge management method based on the analysis of the use of online knowledge resources

82. Diabetes quality of care and outpatient utilization associated with electronic patient-provider messaging: a cross-sectional analysis. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/patient-provider-electronic-messenger-chronic-illness/citation/diabetes-quality
    January 01, 2023 - and outpatient utilization associated with electronic patient-provider messaging: a cross-sectional analysis … and outpatient utilization associated with electronic patient-provider messaging: a cross-sectional analysis

83. 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. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/hopscore-electronic-outcomes-based-emergency-triage-system/citation/emergency
    January 01, 2023 - Index and independent predictors of under-triage and over-triage in Brazil: a retrospective cohort analysis … Index and independent predictors of under-triage and over-triage in Brazil: a retrospective cohort analysis

84. Universal clinical decision support tool for thromboprophylaxis in hospitalized COVID-19 patients: Post hoc analysis of the IMPROVE-DD cluster randomized trial. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/implementation-novel-multi-platform-evidence-based-clinical-decision-support/citation/clinical
    January 01, 2024 - Universal clinical decision support tool for thromboprophylaxis in hospitalized COVID-19 patients: Post hoc analysis … Universal clinical decision support tool for thromboprophylaxis in hospitalized COVID-19 patients: Post hoc analysis

85. Language-concordant automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis of convergent validity with pharmacy claims. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/implementation-outcomes-health-it-program-vulnerable-diabetes-patients/citation/language
    January 01, 2023 - automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis … automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis

86. Language-concordant automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis of convergent validity with pharmacy claims. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/harnessing-health-information-technology-self-management-support-and-medication/citation/language
    January 01, 2023 - automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis … automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis

87. Health IT hazard manager beta-test: appendix D – relational analysis results | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/health-information-technology-hazard-manager/citation/appendix-d
    January 01, 2023 - Health IT hazard manager beta-test: appendix D – relational analysis results Citation … Health IT hazard manager beta-test: appendix D – relational analysis results.

88. Health IT hazard manager beta-test: appendix C - descriptive analysis | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/health-information-technology-hazard-manager/citation/appendix-c
    January 01, 2023 - Health IT hazard manager beta-test: appendix C - descriptive analysis Citation Walker … Health IT hazard manager beta-test: appendix C - descriptive analysis.

89. Smartphone apps for cancer: A content analysis of the digital health marketplace. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/ehealth-activity-among-african-american-and-white-cancer-survivors/citation/smartphone
    January 01, 2023 - Smartphone apps for cancer: A content analysis of the digital health marketplace. … Smartphone apps for cancer: A content analysis of the digital health marketplace.

90. Early expected discharge date accuracy during hospitalization: A multivariable analysis. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/interactive-patient-centered-discharge-toolkit-promote-self-management-during/citation/early
    January 01, 2023 - Early expected discharge date accuracy during hospitalization: A multivariable analysis. … Early expected discharge date accuracy during hospitalization: A multivariable analysis.

91. Perspectives of English, Chinese, and Spanish-speaking safety-net patients on clinician computer use: qualitative analysis. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/engaging-diverse-patients-using-online-patient-portal/citation/perspectives
    January 01, 2023 - of English, Chinese, and Spanish-speaking safety-net patients on clinician computer use: qualitative analysis … of English, Chinese, and Spanish-speaking safety-net patients on clinician computer use: qualitative analysis

92. A patient-centered proposal for Bayesian analysis of self-experiments for health. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/sharing-patient-lifelog-data-primary-care-team-two-patient-populations/citation/patient
    January 01, 2023 - A patient-centered proposal for Bayesian analysis of self-experiments for health. … A patient-centered proposal for Bayesian analysis of self-experiments for health.

93. Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/machine-learning-validation-medication-regimen-complexity-critical-care/citation/cluster
    January 01, 2023 - Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes … Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes

94. Stevens-Johnson syndrome and toxic epidermal necrolysis: a cross-sectional analysis of patients in an integrated allergy repository of a large health care system. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/stevens-johnson
    January 01, 2023 - Stevens-Johnson syndrome and toxic epidermal necrolysis: a cross-sectional analysis of patients in an … Stevens-Johnson syndrome and toxic epidermal necrolysis: a cross-sectional analysis of patients in an

95. Information needs and requirements for decision support in primary care: an analysis of chronic pain care. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/designing-user-centered-decision-support-tools-chronic-pain-primary-care/citation/information
    January 01, 2023 - Information needs and requirements for decision support in primary care: an analysis of chronic pain … Information needs and requirements for decision support in primary care: an analysis of chronic pain

96. An analysis of primary care clinician communication about risk, benefits, and goals related to chronic opioid therapy. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/designing-user-centered-decision-support-tools-chronic-pain-primary-care/citation/analysis
    January 01, 2023 - An analysis of primary care clinician communication about risk, benefits, and goals related to chronic … An analysis of primary care clinician communication about risk, benefits, and goals related to chronic

97. Think Aloud Protocol/Cognitive Task Analysis | Digital Healthcare Research
    digital.ahrq.gov/research-method/think-aloud-protocol-cognitive-task-analysis
    January 01, 2024 - Think Aloud Protocol/Cognitive Task Analysis Comparison of evaluation … WiseApp for Improving Health Outcomes Across Settings Adapting cognitive task analysis … Adapting cognitive task analysis methods for use in a large sample simulation study of high-risk healthcare

98. A disproportionality analysis of drug-drug interactions of tizanidine and CYP1A2 inhibitors from the FDA Adverse Event Reporting System (FAERS). | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/meaningful-drug-interaction-alerts/citation/disproportionality
    January 01, 2023 - A disproportionality analysis of drug-drug interactions of tizanidine and CYP1A2 inhibitors from the … A disproportionality analysis of drug-drug interactions of tizanidine and CYP1A2 inhibitors from the

99. Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/artificial-intelligence-based-health-it-tools-optimize-critical-care/citation/unsupervised
    January 01, 2023 - Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload … Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload

100. Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/machine-learning-validation-medication-regimen-complexity-critical-care/citation/unsupervised
     January 01, 2023 - Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload … Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload