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Total Results: 1,125 records

Showing results for "trained".

41. MedStar Health Research Institute | Digital Healthcare Research
    digital.ahrq.gov/organization/medstar-research-institute
    January 01, 2023 - Discharges of COVID-19 Patients in the Emergency Department Description This study created, trained

42. USA, MD, Hyattsville | Digital Healthcare Research
    digital.ahrq.gov/location/usa-md-hyattsville
    January 01, 2023 - Discharges of COVID-19 Patients in the Emergency Department Description This study created, trained

43. 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 - ongoing Pediatric Advanced Life Support (PALS) training for their staff, resulting in staff being under-trained

44. Shareable, Interoperable Clinical Decision Support for Older Adults: Advancing Fall Assessment and Prevention Patient-Centered Outcomes Research Findings into Diverse Primary Care Practices (ASPIRE) - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/u18hs027557-dykes-final-report-2022.pdf
    January 01, 2022 - Pilot testing was conducted with trained clinicians. … Following the visit, trained research staff surveyed patients in a private setting. … At BWH, trained research staff independently reviewed transcripts to identify key ideas and develop … A trained research member from both sites highlighted user comments and observations. … A trained research team member reviewed records of patient’s fall risk screening results.

45. A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention among Hospitalized Patients - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r21hs028511-held-final-report-2024.pdf
    January 01, 2024 - Methods: We trained multiple ML classifiers on electronic health records (EHR). … Our best model was a binary convolutional neural network (CNN)-based classifier trained on clinical … Results Performance Metrics: The machine learning classifier, trained to identify HIV acquisition … data that is withheld from the training process and used solely for evaluating the performance of the trained

46. Arreola M et al. 2003 "Enterprise-wide CR implementation: the Shands Healthcare System experience." | Digital Healthcare Research
    digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/arreola-m-et-al-2003
    January 01, 2003 - Although technologists had indeed been trained on proper use of the equipment, they were not very familiar

47. Ou MH et al. 2008 "Evaluation of TELEDERM for dermatological services in rural and remote areas." | Digital Healthcare Research
    digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/ou-mh-et-al-2008
    January 01, 2008 - (CBR: a database of cases consisting of attributes and diagnoses, and a query system that has been trained

48. Utilizing Health Information Technology to Improve Health Care Quality - 2012 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/utilizing-health-information-technology-improve-health-care-quality/annual-summary/2012
    January 01, 2012 - effects of SSRI therapy, there are practical concerns of dissemination due to the limited availability of trained

49. Health Information Technology (IT) to Improve Health Care Quality and Outcomes (R21) | Digital Healthcare Research
    digital.ahrq.gov/funding-mechanism/health-information-technology-it-improve-health-care-quality-and-outcomes-r21
    January 01, 2023 - Discharges of COVID-19 Patients in the Emergency Department Description This study created, trained

50. Insights for Community Health | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/insights-community-health
    January 01, 2023 - LHWs were trained to facilitate recruitment, retention, and adoption of the PHR.

51. Development of an Electronic Health Record Format for Children | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/development-electronic-health-record-format-children
    January 01, 2023 - Missing functionality, inadequate implementation, issues with usability, and insufficiently trained users

52. Integrated Telemedicine System Demonstrates Reduction in Children’s Emergency Department Visits (pdf file)
    digital.ahrq.gov/sites/default/files/docs/page/THQITStoriesMcConnochie2010.pdf
    January 01, 2001 - program gives “child sites” (child care centers and schools) access to telemedicine equipment and trained

53. An Electronic Health Record-Based Screening Tool to Support Safe Discharges of COVID-19 Patients in the Emergency Department | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/ehr-based-screening-tool-support-safe-discharges-covid-19-patients-emergency-department
    September 29, 2023 - However, when trained on structured EHR data, it outperformed all other models, indicating that leveraging

54. AHRQ's Guide to Evaluating Health Information Exchange Projects - Appendix D (pdf file)
    digital.ahrq.gov/sites/default/files/docs/page/guide-to-evaluating-hie-projects-appendix-d.pdf
    June 16, 2021 - Sample size calculations should be done by trained statisticians, as the calculations depend on several

55. Scalable Digital Communication Intervention to Support Older Adults and Care Partners Transitioning Home After Major Surgery | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/scalable-digital-communication-intervention-support-older-adults-and-care
    January 01, 2024 - While surgeons try to support these patients through the perioperative transitions, most are not trained

56. 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 - BI-LSTM We used a BI-LSTM with tunable pre-trained embeddings. … The input into the BI-LSTM are 200- dimensional pre-trained word embeddings from 4480 ASD EHR from 2000 … Each LSTM Layer has an internal layer size of 350 and was trained with a dropout ratio of 0.5. … In practice, most models in our experiment trained for less than 25 epochs. … • BI-LSTM-W: a BI-LSTM trained with class weights 1 from the tuned SVM We evaluated our approach

57. eHealth Blood Pressure Control Program (eHealth BP) - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/publication/r21hs018238-eaton-final-report-2012.pdf
    January 01, 2012 - device integrated into the PHR; 3) a blood pressure (BP) self management web portal and 4) use of a trained … Under the guidance of a clinical psychologist, the PN in this study was trained to provide support to … In addition, the PNs were trained to provide some basic information about BP, interact with the patient … PNs were trained in motivational interviewing and goal-setting skills using a detailed manual. … suggest that a patient navigator or other existing personnel resource (e.g., case manager, pharmacist) trained

58. CHOICE: Coalition of Hospices Organized to Investigate Comparative Effectiveness - 2012 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/choice-coalition-hospices-organized-investigate-comparative-effectiveness/annual-summary/2012
    January 01, 2012 - , they are testing the validity of data abstracted from the EHR as compared to data abstracted from trained

59. Pharmaceutical Safety Tracking (PhaST): Managing Medications for Patient Safety | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/pharmaceutical-safety-tracking-phast-managing-medications-patient-safety
    January 01, 2023 - with a medication is reported by a patient on an IVR call, the system automatically alerts a nurse trained

60. Use of Patient Buddy™ Application to Disseminate Knowledge & Prevent Readmission | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/use-patient-buddy-application-disseminate-knowledge-prevent-readmission
    January 01, 2023 - They were trained on entering medication adherence, daily sodium intake, vital signs, and weekly cognitive