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81. 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

82. 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.

83. 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

84. 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.

85. 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

86. 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

87. 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

88. 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

89. 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.

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. 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

92. 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

93. 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

94. 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

95. 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.

96. Drugs that interact with colchicine via inhibition of cytochrome p450 3A4 and p-glycoprotein: A signal detection analysis using a database of spontaneously reported adverse events (FAERS). | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/meaningful-drug-interaction-alerts/citation/drugs
    January 01, 2023 - interact with colchicine via inhibition of cytochrome p450 3A4 and p-glycoprotein: A signal detection analysis … interact with colchicine via inhibition of cytochrome p450 3A4 and p-glycoprotein: A signal detection analysis

97. 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

98. Patient experience with family history tool: analysis of patients' experience sharing their family health history through patient-computer dialogue in a patient portal. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/infosage-information-sharing-across-generation-and-environments/citation/patient
    January 01, 2023 - Patient experience with family history tool: analysis of patients' experience sharing their family health … Patient experience with family history tool: analysis of patients' experience sharing their family health

99. Analysis of errors in dictated clinical documents assisted by speech recognition software and professional transcriptionists. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/nlp-improve-accuracy-and-quality-dictated-medical-documents/citation/analysis
    January 01, 2023 - Analysis of errors in dictated clinical documents assisted by speech recognition software and professional … Analysis of errors in dictated clinical documents assisted by speech recognition software and professional

100. Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/artificial-intelligence-based-health-it-tools-optimize-critical-care/citation/machine
     January 01, 2023 - Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU. … Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU.