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digital.ahrq.gov/ahrq-funded-projects/toward-optimal-patient-safety-information-system/annual-summary/2008
January 01, 2008 - Impact and Findings: A large percentage of hospitals in this study reported having centralized adverse … The information collected by reporting systems differs significantly across large, medium, and small … The ability to conduct large-scale data mining of adverse events has been identified as a primary goal
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digital.ahrq.gov/ahrq-funded-projects/health-information-technology-support-safe-nursing-care/annual-summary/2008
January 01, 2008 - Business Goal: Knowledge Creation
Summary: In today’s health systems, a patient’s care can involve a large … reduces cognitive load by providing an external memory aid that facilitates quick understanding of large … , and acute care elderly; organization types; geographic locations; unit physical setups, including large
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digital.ahrq.gov/principal-investigator/connelly-donald
January 01, 2022 - Community-Shared Clinical Abstract to Improve Care
Creating a large … Creating a large database test bed with typographical errors for record linkage evaluation.
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digital.ahrq.gov/principal-investigator/del-fiol-guilherme
January 01, 2022 - Context-Aware Knowledge Delivery into Electronic Health Records
A large-scale … A large-scale knowledge management method based on the analysis of the use of online knowledge resources
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digital.ahrq.gov/health-it-tools-and-resources/health-it-costs-and-benefits-database/adherence-computerized-clinical
January 01, 2004 - Adherence to computerized clinical reminders in a large healthcare delivery network
Authors
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digital.ahrq.gov/principal-investigator/zeng-qing
January 01, 2022 - machine learning methods to assess and improve representational semantic integrity of terminologies in large
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digital.ahrq.gov/organization/george-washington-university
January 01, 2022 - machine learning methods to assess and improve representational semantic integrity of terminologies in large
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digital.ahrq.gov/principal-investigator/nelson-stuart-james
January 01, 2022 - machine learning methods to assess and improve representational semantic integrity of terminologies in large
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digital.ahrq.gov/organization/university-southern-california
January 01, 2022 - Description
This research, using data from the country’s largest telehealth provider and claims from a large
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digital.ahrq.gov/principal-investigator/meeker-daniella
January 01, 2022 - Description
This research, using data from the country’s largest telehealth provider and claims from a large
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digital.ahrq.gov/health-it-tools-and-resources/health-it-costs-and-benefits-database/transition-all-digital
December 01, 2000 - Transition to an all-digital echocardiography laboratory: a large, multi-site private cardiology practice
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digital.ahrq.gov/ahrq-funded-projects/evaluating-diagnostic-decision-support-systems-patients-requiring-urgent
July 01, 2023 - These tools have experienced large growth, with over 100 available apps that have been used tens of millions … A large global data set of 158,000 patients who used the app and who had possible TIA or stroke will
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digital.ahrq.gov/ahrq-funded-projects/improving-safety-and-quality-emergency-care-using-machine-learning-based
September 30, 2023 - work, the researchers previously completed significant preliminary analyses, including preparing a large … The current triage prediction model will be refined using machine learning algorithms trained on the large
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digital.ahrq.gov/principal-investigator/ponto-kevin
January 01, 2022 - Experiencing interior environments: new approaches for the immersive display of large-scale … Experiencing interior environments: new approaches for the immersive display of large-scale point cloud
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digital.ahrq.gov/principal-investigator/dixon-brian
January 01, 2022 - timeliness of notifiable disease reporting: a comparison of laboratory and provider reports submitted to a large … timeliness of notifiable disease reporting: a comparison of laboratory and provider reports submitted to a large
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digital.ahrq.gov/research-method/benefit-assessment
January 01, 2022 - 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
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digital.ahrq.gov/ahrq-funded-projects/critical-access-hospital-partnership-health-information-technology
January 01, 2022 - the quality care for residents of Michigan's Upper Peninsula, where a small population spread over a large … 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 … the quality care for residents of Michigan's Upper Peninsula, where a small population spread over a large
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digital.ahrq.gov/principal-investigator/reed-mary
January 01, 2023 - follow-up care associated with patient-scheduled primary care telemedicine and in-person visits in a large … follow-up care associated with patient-scheduled primary care telemedicine and in-person visits in a large
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digital.ahrq.gov/principal-investigator/jeffers-justin
January 01, 2022 - AR-CPR: Refinement and Large-Scale
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digital.ahrq.gov/principal-investigator/kleinman-keith
January 01, 2022 - AR-CPR: Refinement and Large-Scale