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81. 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

82. Incorporating patient, caregiver, and provider perspectives in the co-design of an app to guide Hospital at Home admission decisions: a qualitative analysis. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/personalized-clinical-decision-support-improve-participation-hospital-home/citation/incorporating
    January 01, 2024 - perspectives in the co-design of an app to guide Hospital at Home admission decisions: a qualitative analysis … perspectives in the co-design of an app to guide Hospital at Home admission decisions: a qualitative analysis

83. Changes in the appropriateness of US outpatient antibiotic prescribing after the COVID-19 outbreak: An interrupted time series analysis of 2016-2021 data. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/role-telehealth-covid-19-response/citation/changes
    January 01, 2024 - appropriateness of US outpatient antibiotic prescribing after the COVID-19 outbreak: An interrupted time series analysis … appropriateness of US outpatient antibiotic prescribing after the COVID-19 outbreak: An interrupted time series analysis

84. 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

85. 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

86. Refining the predictive variables in the "Surgical Risk Preoperative Assessment System" (SURPAS): a descriptive analysis. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/surgical-risk-preoperative-assessment-system/citation/refining
    January 01, 2023 - predictive variables in the "Surgical Risk Preoperative Assessment System" (SURPAS): a descriptive analysis … predictive variables in the "Surgical Risk Preoperative Assessment System" (SURPAS): a descriptive analysis

87. 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.

88. 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

89. Bouncing back elsewhere: multilevel analysis of return visits to the same or a different hospital after initial emergency department presentation. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/advancing-quality-measurement-and-care-improvement-health-information-exchange/citation/bouncing
    January 01, 2023 - Bouncing back elsewhere: multilevel analysis of return visits to the same or a different hospital after … Bouncing back elsewhere: multilevel analysis of return visits to the same or a different hospital after

90. Understanding physical activity determinants in an HIV self-management intervention: Qualitative analysis guided by the theory of planned behavior. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/dissemination-wiseapp-improving-health-outcomes-across-settings/citation/understanding
    January 01, 2023 - Understanding physical activity determinants in an HIV self-management intervention: Qualitative analysis … Understanding physical activity determinants in an HIV self-management intervention: Qualitative analysis

91. 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

92. 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.

93. 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.

94. 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.

95. 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

96. 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

97. 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

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. 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.

100. How often do prescribers include indications in drug orders? Analysis of 4 million outpatient prescriptions. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/enhancing-medication-cpoe-safety-and-quality-indications-based-prescribing/citation/how
     January 01, 2023 - Analysis of 4 million outpatient prescriptions. … Analysis of 4 million outpatient prescriptions.