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Total Results: 1,237 records

Showing results for "large".

61. Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using Natural Language Understanding - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r21hs024988-leroy-final-report-2020.pdf
    January 01, 2020 - Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using … STRUCTURED ABSTRACT Purpose: With increasing use of electronic medical records, a large investment … EHR bring the opportunity of identifying causes of ASD through large-scale data use. … NN provide excellent performance but need large datasets and training is time consuming. … Empirical Methods in Natural Language Processing and Very Large Corpora; 1999. 14.

62. Lustria, Mia Liza A. | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/lustria-mia-liza
    January 01, 2025 - Understanding of Lab Test Results Preliminary analysis of the impact of lab results on large … Preliminary analysis of the impact of lab results on large language model generated differential diagnoses

63. He, Zhe | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/he-zhe
    January 01, 2025 - Understanding of Lab Test Results Preliminary analysis of the impact of lab results on large … Preliminary analysis of the impact of lab results on large language model generated differential diagnoses

64. Phenotype Modeling and Outcome Mapping for Pain Management Decision Support | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/phenotype-modeling-and-outcome-mapping-pain-management-decision-support
    January 01, 2023 - The condition creates a large financial drain on social services, insurance providers, and family resources … This study was conducted at Michigan Pain Consultants, a large community specialist practice. … Processing System Population: Clinical Staff/Clinician , Physician Patient-reported outcomes in a large … Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype

65. AR-CPR: Refinement and Large-Scale Simulation-Based Testing of a Novel Augmented Reality Point of Care Chest Compression Feedback System | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/ar-cpr-refinement-and-large-scale-simulation-based-testing-novel-augmented
    April 01, 2023 - AR-CPR: Refinement and Large-Scale Simulation-Based Testing of a Novel Augmented Reality Point of Care … Test AR-CPR in a large-scale high fidelity simulated setting.

66. Salwei, Megan Elizabeth | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/salwei-megan-elizabeth
    January 01, 2023 - Making in Breast Cancer Adapting cognitive task analysis methods for use in a large … Adapting cognitive task analysis methods for use in a large sample simulation study of high-risk healthcare

67. Juckett, David | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/juckett-david
    January 01, 2023 - Mapping for Pain Management Decision Support Patient-reported outcomes in a large … Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype

68. Kim, Min Soon | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/kim-min-soon
    January 01, 2023 - SEE-Diabetes Modules Predicting suicide attempts among people with diabetes using a large … Predicting suicide attempts among people with diabetes using a large multicenter electronic health records

69. Aas IH 2002 "Telemedicine and changes in the distribution of tasks between levels of care." | Digital Healthcare Research
    digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/aas-ih-2002
    January 01, 2002 - The results indicated that telemedicine does not produce large changes in the distribution of tasks. … of Health IT Telemedicine Workflow-Related Findings "Telemedicine does not produce large … the performance of tasks for primary care and the dermatology departments, but these changes are not large

70. Impact of Office-Based E-Prescribing on Prescribing Processes and Outcomes - 2011 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/impact-office-based-e-prescribing-prescribing-processes-and-outcomes/annual-summary/2011
    January 01, 2011 - The vendor ZixCorp's PocketScript system is currently used in a large number of practices in Massachusetts … , New Jersey, Pennsylvania, New York, North Carolina, California, and Louisiana, providing a large study … The study included a large-scale survey to develop a detailed understanding of how e-prescribing can … The third phase of the project drew on decades of project team experience in studying large medical databases … Achieved) 2011 Activities: The project collaborated with ZixCorps, an e-prescribing vendor, and two large

71. The Impact of Health Information Technology on Demand for Inpatient Services - 2011 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/impact-health-information-technology-demand-inpatient-services/annual-summary/2011
    January 01, 2011 - An aggregate level model was employed in situations where the data set was too large to estimate at an … Impact and Findings: The impact of health IT was small, if any, because it was not found to affect large … numbers of patients' choices or have a large impact on overall hospital demand.

72. Miller RH et al. 2004 "Physicians' use of electronic medical records: barriers and solutions." | Digital Healthcare Research
    digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/miller-rh-et-al-2004
    January 01, 2004 - Interview Type Clinic Primary care and specialty care Size Small, medium and large … Other Information "Organizations included nine large medical groups of more than seventy physicians … Most of the small groups were primary care only, while eight of the large groups were multispecialty. … In large practices, basic ordering often also included electronic ordering of referrals and laboratory

73. Extension for Community Healthcare Outcomes (ECHO): Presentation to AHRQ 2006 Annual Conference (pdf file)
    digital.ahrq.gov/sites/default/files/docs/page/2006Arora_051811comp.pdf
    February 01, 2006 - Reasons providers give for their participation in ECHO HCV Telemedicine Clinics • Large number of HCV … HCV Telemedicine Clinic Clinic Staff Education Not at all To a large … HCV Telemedicine Clinic Patient Education Not at all To a large … HCV Telemedicine Clinic Community Education Not at all To a large … community awareness of this disease, risk behaviors that are causative especially in that we do a large

74. The Impact of Health Information Technology on Demand for Inpatient Services | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/impact-health-information-technology-demand-inpatient-services
    January 01, 2023 - An aggregate level model was employed in situations where the data set was too large to estimate at an … The impact of health IT was small, if it existed, in that it was not found to affect large numbers of … patients’ choices or have a large impact on overall hospital demand.

75. Wheeler, Donald | Digital Healthcare Research
    digital.ahrq.gov/principal-investigator/wheeler-donald
    January 01, 2023 - and cost-effectiveness of a telemedicine intensive care unit program in 6 intensive care units in a large … and cost-effectiveness of a telemedicine intensive care unit program in 6 intensive care units in a large

76. Electronic Health Record/Electronic Medical Record | Digital Healthcare Research
    digital.ahrq.gov/technology/electronic-health-recordelectronic-medical-record
    January 01, 2025 - SEE-Diabetes Modules Predicting suicide attempts among people with diabetes using a large … Predicting suicide attempts among people with diabetes using a large multicenter electronic health records … Management of Hypertension in Youth: Comparing Approaches for Extending Effective CDS for use in a Large

77. Clinical Decision Support System | Digital Healthcare Research
    digital.ahrq.gov/technology/clinical-decision-support-system
    January 08, 2025 - Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large Language Models … and Machine Learning Description This research uses large language models and machine learning … Management of Hypertension in Youth: Comparing Approaches for Extending Effective CDS for use in a Large

78. Exploring Clinically-relevant Image Retrieval for Diabetic Retinopathy Diagnosis - 2011 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/exploring-clinically-relevant-image-retrieval-diabetic-retinopathy-diagnosis/annual-summary/2011
    January 01, 2011 - sufficient number of DR images to support the development of the machine learning algorithm, which requires large … Li planned to use images from a researcher with a large database of images at the University of Wisconsin … While this is a large number of images, more will eventually be required to validate the algorithm.

79. Zandieh SO et al. 2008 "Challenges to EHR implementation in electronic-versus paper-based office practices." | Digital Healthcare Research
    digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/zandieh-so-et-al-2008
    January 01, 2008 - Eleven practice managers and 12 medical directors all part of an academic ambulatory care network of a large … Internal medicine, OB/GYN, pediatrics, geriatrics, and family practice Size Small, medium and large … Urban Other Information The study was conducted in an academic ambulatory care network of a large

80. Identification of Patients with Low Life Expectancy - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r01hs024090-turchin-final-report-2019.pdf
    January 01, 2019 - Currently used methods typically only reach c-statistic in the 0.7 – 0.8 range which leads to large … This approach leaves out a large amount of information that is only available in narrative documents … Whereas multiple hypothesis testing routinely requires sorting through a large number of combinations … We found that both had very slow performance – an unacceptable limitation for our very large training … Infrastructure The project was performed on a large Linux-based cluster.