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Showing results for "large".

1. Mayo-Smith MF et al. 2007 "Factors associated with improved completion of computerized clinical reminders across a large healthcare system." | Digital Healthcare Research
   digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/mayo-smith-mf-et-al
   January 01, 2022 - et al. 2007 "Factors associated with improved completion of computerized clinical reminders across a large … Factors associated with improved completion of computerized clinical reminders across a large healthcare … relationship of completion rates for a standardized set of computerized clinical reminders across a large … relationship of completion rates for a standardized set of computerized clinical reminders across a large … Tools Used Survey Type Clinic Primary care Size Large

2. Food entries in a large allergy data repository. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/food
   January 01, 2022 - Food entries in a large allergy data repository. … Food entries in a large allergy data repository. J Am Med Inform Assoc 2016 Apr;23(e1):e79-87.

3. Affinity Diagram | Digital Healthcare Research
   digital.ahrq.gov/health-it-tools-and-resources/evaluation-resources/workflow-assessment-health-it-toolkit/all-workflow-tools/affinity-diagram
   January 01, 2022 - As Affinity Chart K-J Method Description Affinity diagrams help to unify large … To help simplify large, complex issues into a format that is easier to manage and understand. … Place the affinity cards on a single large sheet of paper or a whiteboard. … Recommended Supplies/Materials Large work surface Index cards or sticky notes

4. A large-scale knowledge management method based on the analysis of the use of online knowledge resources. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/context-aware-knowledge-delivery-electronic-health-records/citation/large-scale
   January 01, 2022 - A large-scale knowledge management method based on the analysis of the use of online knowledge resources … A large-scale knowledge management method based on the analysis of the use of online knowledge resources … A large-scale knowledge management m… Principal Investigator Del Fiol, Guilherme

5. Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using Natural Language Understanding - Final Report | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/enabling-large-scale-research-autism-spectrum-disorders-through-automated/final-report
   January 01, 2022 - Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using … Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using … Principal Investigator Leroy, Gondy Project Name Enabling Large-Scale Research

6. Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using Natural Language Understanding | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/enabling-large-scale-research-autism-spectrum-disorders-through-automated
   January 01, 2022 - Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using … autism spectrum disorder (ASD), which improves earlier detection and treatment as well as research with large-scale … Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using … Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using … Principal Investigator: Leroy, Gondy Project Name: Enabling Large-Scale Research

7. Leroy, Gondy | Digital Healthcare Research
   digital.ahrq.gov/principal-investigator/leroy-gondy
   January 01, 2022 - Leroy, Gondy Enabling Large-Scale … Principal Investigator Leroy, Gondy Project Name Enabling Large-Scale Research … Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using … Principal Investigator Leroy, Gondy Project Name Enabling Large-Scale Research … Principal Investigator Leroy, Gondy Project Name Enabling Large-Scale Research

8. Epidemiology of ACE inhibitor angioedema utilizing a large electronic health record. | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/epidemiology
   January 01, 2022 - Epidemiology of ACE inhibitor angioedema utilizing a large electronic health record. … Epidemiology of ACE inhibitor angioedema utilizing a large electronic health record.

9. Improving Health Data Quality by Assessing and Enhancing Semantic Integrity | Digital Healthcare Research
   digital.ahrq.gov/ahrq-funded-projects/improving-health-data-quality-assessing-and-enhancing-semantic-integrity
   July 01, 2022 - With the growing use of large electronic health record (EHR) data sets for research, having multiple … The researchers will use large, longitudinal datasets, including those from the Veterans Administration's … Data (RWD) TM , a national, de-identified, person-centric data set; and the EHR data repository from a large

10. Is the promise of PROMs being realized? Implementation experience in a large orthopedic practice. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/optimizing-value-patient-reported-outcome-measures-improving-care-delivery/citation/promise
    January 01, 2022 - Implementation experience in a large orthopedic practice. … Implementation experience in a large orthopedic practice.

11. Creating a large database test bed with typographical errors for record linkage evaluation. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/community-shared-clinical-abstract-improve-care/citation/creating-large
    January 01, 2022 - Creating a large database test bed with typographical errors for record linkage evaluation. … Creating a large database test bed with typographical errors for record linkage evaluation.

12. Adverse and hypersensitivity reactions to prescription nonsteroidal anti-inflammatory agents in a large health care system. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/adverse-and
    January 01, 2022 - Adverse and hypersensitivity reactions to prescription nonsteroidal anti-inflammatory agents in a large … Adverse and hypersensitivity reactions to prescription nonsteroidal anti-inflammatory agents in a large

13. Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/phenotype-modeling-and-outcome-mapping-pain-management-decision-support/citation/patient
    January 01, 2022 - Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype … Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype

14. The longitudinal impact of patient navigation on equity in colorectal cancer screening in a large primary care network. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/technology-optimizing-population-care-resource-limited-environment/citation-1
    January 01, 2022 - The longitudinal impact of patient navigation on equity in colorectal cancer screening in a large primary … The longitudinal impact of patient navigation on equity in colorectal cancer screening in a large primary

15. Experiencing interior environments: new approaches for the immersive display of large-scale point cloud data. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/vizhome-context-based-health-information-needs-assessment-strategy/citation/experiencing
    January 01, 2022 - Experiencing interior environments: new approaches for the immersive display of large-scale point cloud … Experiencing interior environments: new approaches for the immersive display of large-scale point cloud

16. Hierarchical Plane Extraction (HPE): an efficient method for extraction of planes from large pointcloud datasets. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/vizhome-context-based-health-information-needs-assessment-strategy/citation/hierarchical
    January 01, 2022 - Hierarchical Plane Extraction (HPE): an efficient method for extraction of planes from large pointcloud … Hierarchical Plane Extraction (HPE): an efficient method for extraction of planes from large pointcloud

17. Provider use of a novel EHR display in the pediatric intensive care unit. Large customizable interactive monitor (LCIM). | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/perception-and-use-patient-care-window-improve-care-and-family-engagement/citation/provider
    January 01, 2022 - Large customizable interactive monitor (LCIM). … Large customizable interactive monitor (LCIM). Appl Clin Inform 2016 Jul 20;7(3):682-92.

18. Drug hypersensitivity reactions documented in electronic health records within a large health system. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/encoding-and-processing-patient-allergy-information-ehrs/citation/drug-hypersensitivity
    January 01, 2022 - Drug hypersensitivity reactions documented in electronic health records within a large health system. … Drug hypersensitivity reactions documented in electronic health records within a large health system.

19. 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, 2022 - epidermal necrolysis: a cross-sectional analysis of patients in an integrated allergy repository of a large … epidermal necrolysis: a cross-sectional analysis of patients in an integrated allergy repository of a large

20. Cognitive tests predict real-world errors: the relationship between drug name confusion rates in laboratory-based memory and perception tests and corresponding error rates in large pharmacy chains. | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/tools-optimizing-medication-safety-top-meds/citation/cognitive-tests-predict
    January 01, 2022 - name confusion rates in laboratory-based memory and perception tests and corresponding error rates in large … name confusion rates in laboratory-based memory and perception tests and corresponding error rates in large