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1521. Using the Electronic Health Record To Identify Children Likely To Suffer Last-Minute Surgery Cancellation - Final Report | Digital Healthcare Research
      digital.ahrq.gov/ahrq-funded-projects/using-electronic-health-record-identify-children-likely-suffer-last-minute/final-report
      January 01, 2023 - Technology Artificial Intelligence Electronic Health Record/Electronic Medical Record Machine Learning

1522. 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

1523. 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

1524. 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

1525. 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

1526. 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

1527. Promoting Use of an Integrated Personal Health Record for Prevention - 2012 | Digital Healthcare Research
      digital.ahrq.gov/ahrq-funded-projects/promoting-use-integrated-personal-health-record-prevention/annual-summary/2012
      January 01, 2012 - develop guidance on how to integrate MyPreventiveCare into care delivery using practice champions, learning … Study staff conducted key informant interviews, and recorded and analyzed learning collaboratives to

1528. Final Innovation Center Charter (pdf file)
      digital.ahrq.gov/sites/default/files/Final%20Innovation%20Center%20Charter_508.pdf
      April 06, 2022 - To achieve this, CDSiC will: ■ Create a learning community to share and advance the knowledge, tools … Center will also draw upon the Analytic Framework for Action (AFA) Framework developed by the PCCDS Learning … Coordinating CDS Projects is to implement PC CDS projects in real-world settings for the purpose of learning … potential challenges to the Innovation Center achieving desired outcomes are outlined below: ■ Learning

1529. Health Information Technology and Provider Communication (pdf file)
      digital.ahrq.gov/sites/default/files/docs/survey/hit-provider-communication.pdf
      October 21, 2015 - not considering implement-i ng Don't know SECTION 2 In this section, we are interested in learning … SECTION 3 In this section, we are interested in learning about physicians' and nurses' use of hardware … SECTION 4 In this section, we are interested in learning about the infrastructure for electronic communication … __________________________________ SECTION 5 In this section, we are interested in learning more … //projectredcap.org Confidential Page 7 of 8 SECTION 6 In this section, we are interested in learning

1530. 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

1531. 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

1532. 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

1533. 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

1534. 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

1535. 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.

1536. 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.

1537. 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

1538. 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.

1539. 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

1540. Context-Aware Knowledge Delivery into Electronic Health Records - Final Report (pdf file)
      digital.ahrq.gov/sites/default/files/docs/publication/k01hs018352-del-fiol-final-report-2013.pdf
      January 01, 2013 - the main causes of errors in the health care system and are missed opportunities for just-in-time learning … The results of this study also raise implications in clinicians’ training and lifelong learning. … However, the typical CME program follows a passive learning approach and fails to improve physician … performance and patient outcomes.59, 60 Alternate learning interventions could promote just-in-time … Residents' patient-specific clinical questions: opportunities for evidence-based learning.