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1421. Bellamy, Gail | Digital Healthcare Research
      digital.ahrq.gov/principal-investigator/bellamy-gail
      January 01, 2023 - the reporting of medical errors and near misses, monitored safety event reporting, and developed a learning

1422. Implementation and Dissemination of 'Gabby,' a Health Information Technology System for Young Women, Into Community-Based Clinical Sites | Digital Healthcare Research
      digital.ahrq.gov/ahrq-funded-projects/implementation-and-dissemination-gabby-health-information-technology-system
      January 01, 2023 - Project Dates 09/01/2017 - 12/31/2022 Technology Artificial Intelligence Machine Learning … Research Method: Interview , Mixed Methods , Survey Technology: Artificial Intelligence , Machine Learning

1423. CDS Connect: Final Report 2024 (pdf file)
      digital.ahrq.gov/sites/default/files/docs/citation/cds-connect-year-8-final-report-2024.pdf
      January 01, 2024 - Authoring Tool, and prototype tools by promoting awareness and adoption by institutions of higher learning … and other learning communities • Increasing documentation and training resources for artifact authors … Those interested in learning more may choose to sign up for one of AHRQ’s newsletters at https://www.ahrq.gov

1424. Synthesizing Lessons Learned Using Health Information Technology - 2012 | Digital Healthcare Research
      digital.ahrq.gov/ahrq-funded-projects/synthesizing-lessons-learned-using-health-information-technology/annual-summary/2012
      January 01, 2012 - separate from the individual study, using “immersion and crystallization,” allowed new interpretations and learning … The 134 primary care practices participating in PPRNet research studies established a collaborative learning

1425. Synthesizing Lessons Learned Using Health Information Technology - 2011 | Digital Healthcare Research
      digital.ahrq.gov/ahrq-funded-projects/synthesizing-lessons-learned-using-health-information-technology/annual-summary/2011
      January 01, 2011 - from the individual study, using "immersion and crystallization," will allow new interpretations and learning … established internal validity and four practices provided evidence to support that this model adds to the learning

1426. Natural Language Processing to Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department - Final Report | Digital Healthcare Research
      digital.ahrq.gov/ahrq-funded-projects/natural-language-processing-identify-and-rank-clinically-relevant-information/final-report
      January 01, 2023 - Technology Artificial Intelligence Electronic Health Record/Electronic Medical Record Machine Learning

1427. 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, 2023 - of EHR Using Natural Language Understanding Technology Artificial Intelligence Machine Learning

1428. A National Web Conference on Effective Design and Use of Patient Portals and Their Impact on Patient-Centered Care - Slides (pdf file)
      digital.ahrq.gov/sites/default/files/docs/impact-pcc-slides-032317.pdf
      March 23, 2017 - • Questions will be read aloud by the moderator. 8 Learning Objectives … K99NR016275 (PI: Masterson Creber) 15 Learning Objectives 1. … Mission How AHRQ Makes a Difference Presenter and Moderator Disclosures How to Submit a Question Learning … Assessing Impact of an Acute Care Patient Portal on Patient Engagement and Satisfaction With Care Learning

1429. Novel, High-Impact Studies Evaluating Health System and Healthcare Professional Responsiveness to COVID-19 (R01) | Digital Healthcare Research
      digital.ahrq.gov/funding-mechanism/novel-high-impact-studies-evaluating-health-system-and-healthcare-professional
      January 01, 2023 - Infrastructure to Create a Continuum of Services for COVID-19 Screening, Testing, and Treatment: A Learning

1430. USA, MI, Detroit | Digital Healthcare Research
      digital.ahrq.gov/location/usa-mi-detroit
      January 01, 2023 - Enhancing an EMR-Based Real-Time Sepsis Alert System Performance Through Machine Learning

1431. Synthesizing Lessons Learned Using Health Information Technology - Final Report (pdf file)
      digital.ahrq.gov/sites/default/files/docs/publication/r03hs018830-nemeth-final-report-2013.pdf
      January 01, 2013 - Results: A total of 134 primary care practices participated in a collaborative learning community hosted … methods secondary analysis of seven studies (awarded to PPRNet investigators) to synthesize a decade of learning … network meetings where a wide range of practice participants have convened to form a collaborative learning … This learning community has provided opportunities for reciprocal knowledge dissemination from researchers … This occurs while learning, evaluating and reflecting on practice-specific progress in the improvement

1432. Using Health Information Technology to Improve Health Care Quality in Primary Care Practices and in Transitions Between Care Settings - 2012 | Digital Healthcare Research
      digital.ahrq.gov/ahrq-funded-projects/using-health-information-technology-improve-health-care-quality-primary-care-va/annual-summary/2012
      January 01, 2012 - Through a series of learning collaboratives, study staff guided practices to create a shared vision for … Separate learning collaboratives were conducted at each practice before and after IPHR implementation

1433. Using Health Information Technology to Improve Health Care Quality in Primary Care Practices and in Transitions between Care Settings - 2010 | Digital Healthcare Research
      digital.ahrq.gov/ahrq-funded-projects/using-health-information-technology-improve-health-care-quality-primary-care-va/annual-summary/2010
      January 01, 2010 - Through a series of learning collaboratives, study staff will guide practices in creating a shared vision … Separate learning collaboratives will be conducted at each practice before and after IPHR implementation

1434. Exploring Clinically-relevant Image Retrieval for Diabetic Retinopathy Diagnosis - Final Report (pdf file)
      digital.ahrq.gov/sites/default/files/docs/citation/r21hs019792-li-final-report-2014.pdf
      January 01, 2014 - Methods: The key approach of the project was to develop a machine-learning-based image retrieval engine … Keywords: Diabetic retinopathy, fundus image, image retrieval, computer-aided diagnosis, machine learning … Designing Core Algorithms for Building Automatic Lesion-Learning Engines In this task, we used labeled … Classification of Diabetic Retinopathy Images Using Multi-Class Multiple-Instance Learning Based on Color … K., Classification of Diabetic Retinopathy Images Using Multi-Class Multiple-Instance Learning Based

1435. Project ECHO Hepatitis C Ambulatory Care Quality Improvement in New Mexico through Health Information Technology - 2011 | Digital Healthcare Research
      digital.ahrq.gov/ahrq-funded-projects/project-echo-hepatitis-c-ambulatory-care-quality-improvement-new-mexico-through/annual-summary/2011
      January 01, 2011 - Functions to strengthen learning and enhance clinical decisionmaking, including non-identified patient-mirrored … cases to enhance learning loops, have been developed.

1436. Improving the Delivery of Health Services at the Health Systems Level | Digital Healthcare Research
      digital.ahrq.gov/2019-year-review/research-summary/improving-delivery-health-services-health-systems-level
      January 01, 2019 - investigated the outcome of combining natural language processing (NLP) and Dynamic Logic, a machine-learning … This research applied NLP and machine-learning methods to detect errors in speech-recognition notes.

1437. Using Artificial Intelligence to Improve Health and Healthcare | Digital Healthcare Research
      digital.ahrq.gov/2018-year-review/research-summary/emerging-innovative-newly-funded-research/using-artificial-intelligence-improve-health-and-healthcare
      January 01, 2018 - Control Tower: Feedback Alerts to Supplement Treatment (ACTFAST) will apply data mining and machine learning

1438. Developing and Evaluating Online Education to Improve Older Adults Health Information - Final Report (pdf file)
      digital.ahrq.gov/sites/default/files/docs/publication/r03hs019745-fink-final-report-2012.pdf
      January 01, 2012 - of age and older who currently use the internet, and it incorporates their preferences for online learning … Because this study was guided by the Health Belief Model(23) and Knowles’ theory of learning(24, 25 … ), the focus group questions leaned heavily on variables (such as barriers to learning) that can be … The design phase of ADDIE’s framework deals with learning objectives, content, exercises and feedback … As can be seen from Table 1, all participants reported learning new information and planned to use the

1439. SynergyHealth - St. Joseph's Hospital: Designing a safe hospital (pdf file)
      digital.ahrq.gov/sites/default/files/docs/page/2006Reiling_052411comp.pdf
      January 01, 2005 - problems • Get quality right the first time Process Recommendations • Matrix Development (post Learning … Always Anticipating Precarious Events • Informed Employees and Medical Staff • Culture of Reporting • Learning

1440. Industrial and Systems Engineering and Health Care: Critical Areas of Research (pdf file)
      digital.ahrq.gov/sites/default/files/docs/citation/BackgroundReport082310.pdf
      May 01, 2010 - Engineering a learning healthcare system: A look at the future/Preliminary draft. … Learning healthcare system concepts v. 2008/Annual report. … real-time learning and use is presented as a solution to these problems. … Engineering a learning healthcare system: A look at the future/Preliminary draft. … Learning healthcare system concepts v. 2008/Annual report.