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digital.ahrq.gov/2020-year-review/research-summary/it-is-not-just-sci-fi-using-artificial-intelligence-identify-kidney-disease
January 01, 2020 - research team are betting that artificial intelligence (AI) techniques will be able to extract and analyze
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digital.ahrq.gov/health-it-tools-and-resources/health-it-costs-and-benefits-database/implementation-computer-based
January 01, 1996 - Purpose of Study: Analyze the EHR implementation process in two primary health care settings and the
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digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/experience-research/byrne-jm-et
January 01, 2023 - promote clinician adoption they must demonstrate workload benefits from secure messaging and more fully analyze
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digital.ahrq.gov/location/usa-ma-boston
January 01, 2023 - Description
This research uses large language models and machine learning to retrospectively analyze
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digital.ahrq.gov/ahrq-funded-projects/cardio-hit-phase-ii/annual-summary/2009
January 01, 2009 - validity of automated exception reports and identify key sources of measurement error. ( Achieved )
Analyze … The ability to collect and analyze exception data may prove valuable in understanding variations in care
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digital.ahrq.gov/ahrq-funded-projects/promoting-use-integrated-personal-health-record-prevention/annual-summary/2012
January 01, 2012 - (Achieved)
2012 Activities: During this period, the research team continued to collect and analyze
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digital.ahrq.gov/ahrq-funded-projects/supporting-continuity-care-poisonings-electronic-information-exchange/annual-summary/2012
January 01, 2012 - Because all calls to and from PCCs are routinely recorded and archived, the team was able to analyze
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digital.ahrq.gov/sites/default/files/docs/activity/cardio_hit_phase_ii_2009_pdf__2.pdf
January 01, 2009 - (Achieved)
• Analyze and then address stakeholder perspectives concerning exception reporting in physician … The ability to
collect and analyze exception data may prove valuable in understanding variations in
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digital.ahrq.gov/ahrq-funded-projects/enabling-health-care-decisionmaking-through-use-health-information-technology/annual-summary/2010
January 01, 2010 - convened a technical expert panel to conduct a comprehensive systematic literature search, review and analyze
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digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/kuilboer-mm-et-al-2006
January 01, 2006 - medical records (EMR)
Workflow-Related Findings
The DSS took an average of 31.7 seconds to analyze
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digital.ahrq.gov/ahrq-funded-projects/discovery-and-visualization-new-information-clinical-reports-electronic-health/citation/analyzing
January 01, 2023 - Analyzing operative note structure in development of a section header resource.
Citation
Melton GB, Wang Y, Arsoniadis E, et al. Analyzing operative note structure in development of a section header resource. Stud Health Technol Inform 2015;216:821-6. PMID: 26262166.
Link
https://www.ncbi.nlm…
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digital.ahrq.gov/funding-mechanism/mentored-clinical-scientist-research-career-development-award-k08
January 01, 2023 - Description
This research uses large language models and machine learning to retrospectively analyze
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digital.ahrq.gov/ahrq-funded-projects/past-initiatives/privacy-and-security-project/connecticut
January 01, 2023 - health care providers; provide testing and monitoring support through the state laboratory; collect and analyze
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digital.ahrq.gov/track-4-assessing-value-and-evaluating-project-impact
January 01, 2023 - application to specific assessments: data mining of EHR through link and text analysis; concept mapping to analyze
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digital.ahrq.gov/health-care-theme/clinical-decision-making
January 01, 2023 - Description
This research uses large language models and machine learning to retrospectively analyze
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digital.ahrq.gov/program-overview/research-stories/use-artificial-intelligence-and-machine-learning-improve-care
January 01, 2023 - CCPs analyze and manage the highly complex medication regimens of ICU patients and work to identify and
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digital.ahrq.gov/type-care/acute-care
January 01, 2023 - Description
This research uses large language models and machine learning to retrospectively analyze
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digital.ahrq.gov/health-care-theme/patient-safety
January 01, 2023 - Description
This research uses large language models and machine learning to retrospectively analyze
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digital.ahrq.gov/care-setting/hospital
January 01, 2023 - Description
This research uses large language models and machine learning to retrospectively analyze
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digital.ahrq.gov/population/adults
January 01, 2023 - Description
This research uses large language models and machine learning to retrospectively analyze