Results

Total Results: 2,111 records

Showing results for "learning".
Users also searched for: pap smear

221. ACTS COVID-19 Evidence to Guidance to Action Collaborative | Digital Healthcare Research
     digital.ahrq.gov/covid-acts
     January 01, 2023 - for COVID-19 patients and care teams in limited settings for selected targets being addressed by Learning … Advance tools, standards, and collaborations that seed a robust knowledge ecosystem that fosters learning …   Products Concept Demonstration and Case Study for a knowledge ecosystem that supports learning

222. AHRQ evidence-based Care Transformation Support: A Roadmap for AHRQ and Other Stakeholders (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/acts-townhall-amia-2019.pdf
     January 01, 2019 - Use of AHRQ/Other Resources, to • Support Evidence-informed Care Transformation, via a • National Learning … Computable Biomedical Knowledge (MCBK) ● AHRQ CDS Connect Project and Workgroup ● AHRQ Patient-Centered CDS Learning … value) • ...achieve real-time and near real-time data collection and analysis that informs continuous learning … workgroups) -- establishes/ drives Governance / Standards / Trust Digital Healthcare Evidence KN Learning … 10) AHRQ Hennepin Healthcare EBSCO ACEP IPRO NIH (NIDDK) Rutgers/RWJBarnabas Health IMO AAFP PCCDS Learning

223. Opportunities for Digital Healthcare: Lessons Learned from the COVID-19 Pandemic | Digital Healthcare Research
     digital.ahrq.gov/national-webinars/opportunities-digital-healthcare-lessons-learned-covid-19-pandemic
     January 01, 2023 - Learning Objectives: At the conclusion of this webinar, participants should be able to: Explain challenges … and opportunities to improve the evidence to guidance to action to data to evidence Learning Health

224. The Chronic Care Technology Project - 2010 | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/chronic-care-technology-project/annual-summary/2010
     January 01, 2010 - project helped providers in northern and eastern Maine implement new technologies through a regional learning … Rather than the usual methods of adopting and implementing technology, the project used a collaborative learning … evaluated using a survey instrument to measure the effectiveness of the main elements of the process, learning … The survey findings were summarized after each learning session to provide an evaluation of the IHI BTS … Beyond recruitment, the project team learned that involvement of IT specialists from the first learning

225. NLP to identify and rank clinically relevant information from EHRs in the Emergency Department - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs024541-goss-final-report-2018.pdf
     January 01, 2018 - The results demonstrate how information retrieval methods using NLP and unsupervised machine learning … The results of our machine learning methods are shown below (Table 2). … Deep learning questions: Numerous papers have publicized the many recent successes of deep learning/ … in EHRs learning fail? … Why were the machine learning methods better than the SME?

226. HopScore: An Electronic Outcomes-Based Emergency Triage System - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs023641-levin-final-report-2018.pdf
     January 01, 2018 - Methods: E-triage supports triage decision-making by applying a machine learning algorithm to predict … Key Words Emergency Medicine, Triage, Clinical Decision Support, Machine Learning, Predictive Analytics … The machine learning concepts behind e-triage and its anticipated use to support clinical judgment … Significance In this study we deployed and prospectively evaluated a machine-learning-based triage … Cambridge, United Kingdom. 9/2018 Machine Learning Based Electronic Triage.

227. The Chronic Care Technology Project (pdf file)
     digital.ahrq.gov/sites/default/files/docs/activity/the_chronic_care_technology_project_2010_pdf__2.pdf
     January 01, 2010 - project helped providers in northern and eastern Maine implement new technologies through a regional learning … Rather than the usual methods of adopting and implementing technology, the project used a collaborative learning … solutions and the associated implementation plans and execution are the products of this regional learning … The survey findings were summarized after each learning session to provide an evaluation of the IHI … Beyond recruitment, the project team learned that involvement of IT specialists from the first learning

228. An AI-Directed CDS Tool to Reduce Iron Deficiency Anemia in Pregnancy: A Randomized Controlled Trial (AID-IDA Trial) | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/ai-directed-cds-tool-reduce-iron-deficiency-anemia-pregnancy-randomized
     August 01, 2024 - /2026 Technology Artificial Intelligence Clinical Decision Support System Machine Learning … Researchers will develop a machine learning-based predictive model using structured data from the end … AI-aided clinical tools in obstetrics, promoting the widespread implementation of embedded machine-learning

229. Report | Digital Healthcare Research
     digital.ahrq.gov/document-type/report
     September 01, 2024 - Telehealth Education for Asthma Connecting Hospital and Home (TEACHH) A Machine Learning … A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention … Project Name A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment

230. A Multi-Stakeholder Roadmap for Care Transformation – the AHRQ evidence-based Care Transformation Support (ACTS) Initiative - S43 Panel (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/amia-ahrq-s43-panel-slides-2020.pdf
     January 01, 2020 - with commercial interests to disclose. 4 AMIA 2020 Annual Symposium | amia.org Panel Goal and Learning … After participating in this session the learner should be better able to: • Describe the virtuous learning … Health System 40 The Learning Health System 41 The Digital and Trustworthy Evidence Ecosystem … Use, Evaluation, and Feedback 95 HL7: Quality Improvement Ecosystem / Learning Health System 1 … (Patient-Centered CDS Learning Network). 97 98 Knowledge Ecosystem to Achieve ACTS Future

231. A National Web Conference on Opportunities for Digital Healthcare: Lessons Learned from the COVID-19 Pandemic | Digital Healthcare Research
     digital.ahrq.gov/events/national-web-conference-opportunities-digital-healthcare-lessons-learned-covid-19-pandemic
     July 01, 2021 - Learning Objectives: At the conclusion of this Web conference, participants should be able to: Explain … challenges and opportunities to improve the evidence to guidance to action to data to evidence Learning

232. USA, OH, Cincinnati | Digital Healthcare Research
     digital.ahrq.gov/location/usa-oh-cincinnati
     January 01, 2023 - About Epilepsy Surgery Patients Description This research prospectively evaluated a machine learning … Likely To Suffer Last-Minute Surgery Cancellation Description This research applied machine learning

233. Rajamani, Sripriya | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/rajamani-sripriya
     January 01, 2024 - A model of academic-practice collaboration for facilitating informatics capacity and building a learning … A model of academic-practice collaboration for facilitating informatics capacity and building a learning

234. Evaluation of critical care pharmacist evening services at an academic medical center. | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/machine-learning-validation-medication-regimen-complexity-critical-care/citation/evaluation
     January 01, 2024 - pubmed.ncbi.nlm.nih.gov/38450349/ Principal Investigator Sikora, Andrea Project Name Machine Learning

235. Industrial and Systems Engineering and Health Care: Critical Areas of Research Workshop - Materials | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/industrial-systems-engineering-and-health-care-critical-areas-research-workshop/industrial-and-systems-engineering-and-health-care-critical-areas-research-workshop-materials
     January 01, 2023 - Engineering a learning healthcare system: A look at the future/Preliminary draft. … The learning healthcare system: Workshop summary. Olsen L, Aisner D, McGinnis JM, eds. … Learning healthcare system concepts v. 2008/Annual report.

236. AHRQ Health Services Research Projects (R01) | Digital Healthcare Research
     digital.ahrq.gov/funding-mechanism/ahrq-health-services-research-projects-r01
     January 01, 2023 - Mann, Devin M Improving Safety and Quality of Emergency Care Using Machine Learning-Based … Description This research will design, implement, and evaluate an emergency department triage machine learning … Drug Event Prediction Description This research will use artificial intelligence and machine learning

237. Ambulatory Setting | Digital Healthcare Research
     digital.ahrq.gov/care-setting/ambulatory-clinic
     January 01, 2023 - An Age-Friendly Learning Healthcare System: A Transformative Digital Solution for Geriatrics Clinics … Kawamoto, Kensaku A Longitudinal Machine Learning Approach Providing Clinicians … Description This research will develop, validate, and evaluate a decision support tool using a machine learning

238. Li, Baoxin | Digital Healthcare Research
     digital.ahrq.gov/principal-investigator/li-baoxin
     January 01, 2023 - Classification of diabetic retinopathy images using multi-class multiple-instance learning … Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color

239. Evaluating Diagnostic Decision Support Systems for Patients Requiring Urgent Primary or Emergency Care or with Stroke | Digital Healthcare Research
     digital.ahrq.gov/ahrq-funded-projects/evaluating-diagnostic-decision-support-systems-patients-requiring-urgent
     July 01, 2023 - Dates 07/01/2023 - 05/31/2028 Technology Clinical Decision Support System Machine Learning … improving early diagnosis and risk stratification, the research team will create and validate new machine learning … Using machine learning may improve accuracy in assessing symptoms In addition, Dr. … will couple data from 2,300 patients who have presented with symptoms of stroke at the ED with machine learning … Care is Right for Them Connecting NICU Parents with Mental Health Support via a Mobile App Machine Learning

240. Customizing Value-based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning Health Systems - Final Report (pdf file)
     digital.ahrq.gov/sites/default/files/docs/citation/r21hs026544-devine-final-report-2022.pdf
     January 01, 2022 - Customizing Value-based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning … Value-based Methods to Prioritize Implementation of Pharmacogenomic Clinical Decision Support for Learning … The learning healthcare system: workshop summary. … The Learning Healthcare Project The Learning Health Care Project [Internet]. [cited 2022 July 11]. … Implementing the learning health system: From concept to action.