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Total Results: 659 records

Showing results for "statistics".

61. Wolfstadt JI et al. 2008 "The effect of computerized physician order entry with clinical decision support on the rates of adverse drug events: a systematic review." | Digital Healthcare Research
    digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/wolfstadt-ji-et-al-2008
    January 01, 2008 - Wolfstadt JI et al. 2008 "The effect of computerized physician order entry with clinical decision support on the rates of adverse drug events: a systematic review." Reference Wolfstadt JI, Gurwitz JH, Field TS, et al. The effect of computerized physician order entry with clinical decision support on t…

62. Lobach DF et al. 1997 "Computerized decision support based on a clinical practice guideline improves compliance with care standards." | Digital Healthcare Research
    digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/lobach-df-et-al-1997
    January 01, 1997 - Lobach DF et al. 1997 "Computerized decision support based on a clinical practice guideline improves compliance with care standards." Reference Lobach DF, Hammond WE. Computerized decision support based on a clinical practice guideline improves compliance with care standards. Am J Med 1997;102(1):89-9…

63. Knowledge Engineering for Decision Support in Osteoporosis - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/k08hs018582-lafleur-final-report-2015.pdf
    January 01, 2015 - cohort, most likely due to the overwhelming effect of prior fracture in those models. 9 The C-­‐statistics … In that subset, the original and honest C-­‐ statistics were the same both for hip fracture (0.78) … Descriptive statistics were used for patient characteristics among cases and controls. … The current version of VA-­‐FARA has only poor discrimination for identifying those fractures (C-­‐statistics

64. Percentage of Verbal Orders (pdf file)
    digital.ahrq.gov/sites/default/files/docs/page/percentage-of-verbal-orders-quick-reference-guide.pdf
    March 01, 2009 - Percentage of Verbal Orders Percentage of Verbal Orders Monitoring the percentage of verbal orders allows organizations to measure the use of verbal ordering over time and whether that use is trending downward with the implementation of health IT, most commonly, computerized provider order entry (CPOE). Such …

65. Automated Adverse Drug Event Detection and Intervention - 2008 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/automated-adverse-drug-event-detection-and-intervention/annual-summary/2008
    January 01, 2008 - mitigation of ADEs, the automated surveillance system also permitted the establishment of baseline statistics

66. Data Analysis Summary | Digital Healthcare Research
    digital.ahrq.gov/health-it-tools-and-resources/ahrq-funded-project-resources-archives/data-analysis-summary
    January 01, 2023 - Data Analysis Summary Description This is a protocol for data analysis which includes measures, statistical analysis and performance indicators. Document Source A Partnership for Clinician Electronic Health Record (EHR) Use and Quality of Care Medical Condition Chronic Conditions…

67. de Lusignan S et al. 2002 "Does feedback improve the quality of computerized medical records in primary care?" | Digital Healthcare Research
    digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/de-lusignan-s-et-al
    January 01, 2023 - de Lusignan S et al. 2002 "Does feedback improve the quality of computerized medical records in primary care?" Reference de Lusignan S, Stephens PN, Adal N, et al. Does feedback improve the quality of computerized medical records in primary care? J Am Med Inform Assoc 2002;9(4):395-401. [Link] …

68. Improving Allergy Documentation and Clinical Decision Support in the Electronic Health Record (EHR) - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r01hs025375-zhou-final-report-2022.pdf
    January 01, 2022 - These statistics are particularly concerning because the lack of information often alters physician … Measures Aim 1 For drug hypersensitivities, descriptive statistics were used to summarize patient … For contrast agent allergic reactions, descriptive statistics were used to summarize patient characteristics … We also collected usage statistics and monitored user feedback to understand users’ acceptance of the … Descriptive statistics were used to summarize patient and cohort characteristics, with mean and standard

69. Patient-Centered Data Visualizations for Diabetes - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r21hs023865-lee-final-report-2018.pdf
    January 01, 2018 - • Statistics Overview (9 of 9 systems). … This report typically consists of overall statistics for the given time period for: (1) glucose, including … average daily basal insulin, basal to bolus ratio, number of boluses per day; and (3) a number of statistics … Blood glucose trends as well as statistics such as average glucose, standard deviation, and time in … to clearly see blood glucose patterns and averages via a data (i.e., a graph or chart) as well as statistics

70. The Medication Metronome Project | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/medication-metronome-project
    January 01, 2023 - The Medication Metronome Project Project Final Report ( PDF , 850.24 KB) Disclaimer Disclaimer The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do not necessarily represent the views of AHRQ. No statement in this…

71. Achieving Individualized Precision Prevention (IPP) through Scalable Infrastructure Employing the USPSTF Recommendations in Computable Form - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r21hs026257-friedman-final-report-2020.pdf
    January 01, 2020 - empirical analysis (e.g., a regression equation), or as a table of known values (e.g., population statistics … recommendation information, mathematical population health functions, and tables of public health statistics … In contrast, these statistics are not suitable for comparing two partial lists, and they are not defined

72. Treating Comorbid Depression In Care Transitions with Relational Agents - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r21hs022938-mitchell-final-report-2017.pdf
    January 01, 2017 - Statistics Web Site. https://www.nimh.nih.gov/health/statistics/prevalence/major-depression-among-adults.shtml … https://www.nimh.nih.gov/health/statistics/prevalence/major-depression-among-adults.shtml

73. Improving Health Care through Health Information Technology in Morgan County, IN - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/publication/uc1hs015258-aders-final-report-2007.pdf
    January 01, 2007 - Table 1 summarizes the descriptive statistics for the satisfaction survey. 9 … Satisfaction with clinical data management WAVE Descriptive Statistics N Minimum Maximum Mean Std

74. Zeng, Qing | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/zeng-qing
    January 01, 2023 - Zeng, Qing Improving Health Data Quality by Assessing and Enhancing Semantic Integrity Description This research will develop and validate advanced statistical and machine learning methods to assess and improve representational semantic integrity of terminologies in large clin…

75. George Washington University | Digital Healthcare Research
    digital.ahrq.gov/organization/george-washington-university
    January 01, 2023 - George Washington University Improving Health Data Quality by Assessing and Enhancing Semantic Integrity Description This research will develop and validate advanced statistical and machine learning methods to assess and improve representational semantic integrity of terminolo…

76. Nelson, Stuart James | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/nelson-stuart-james
    January 01, 2023 - Nelson, Stuart James Improving Health Data Quality by Assessing and Enhancing Semantic Integrity Description This research will develop and validate advanced statistical and machine learning methods to assess and improve representational semantic integrity of terminologies in …

77. Development of Dashboards To Provide Feedback To Home Care Nurses - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r21hs023855-dowding-final-report-2017.pdf
    January 01, 2017 - the findings that emerged from the data. 10 3.3.2: Aim 2 (online survey): Descriptive statistics … Descriptive statistics were used to summarize the SUS scores across all evaluators of the system. … Descriptive statistics were used to summarize this data, including the average, maximum and minimum … National Center for Health Statistics Vital Health Statistics 2016;3(38). 3.

78. Use of Electronic Personal Health Records as a Health Risk-Reduction Discussion Tool - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r36hs023057-jackman-final-report-2016.pdf
    January 01, 2016 - Descriptive statistics for Phase 1 participants are found in Table 1. … Table 1 Descriptive statistics for eSHINE Study Phase 1 participants (n = 35) Variables Men n … Descriptive Statistics of Phase 2 participants are found in Table 3. … patient electronic access to STD test results in young Black populations. 10 Table 3 Descriptive statistics … Percentages, chi-square statistics, and odds ratios all refer only to quantitative study results.

79. Eslami S et al. 2007 "Evaluation of outpatient computerized physician medication order entry systems: a systematic review." | Digital Healthcare Research
    digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/eslami-s-et-al-2007
    January 01, 2007 - Eslami S et al. 2007 "Evaluation of outpatient computerized physician medication order entry systems: a systematic review." Reference Eslami S, Abu-Hanna A, de Keizer NF. Evaluation of outpatient computerized physician medication order entry systems: a systematic review. J Am Med Inform Assoc 2007;14(…

80. Building and Implementing a Predictive Decision Support System Based on a Proactive Full Capacity Protocol to Mitigate Emergency Department Overcrowding Problems | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/building-and-implementing-predictive-decision-support-system-based-proactive
    January 01, 2024 - Building and Implementing a Predictive Decision Support System Based on a Proactive Full Capacity Protocol to Mitigate Emergency Department Overcrowding Problems Project Description Publications Using deep learning and predictive analytics, this research has the potential…