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Learning Health Systems
Scopus
ISSN 2379-6146 · Wiley · 361 artikel di indeks
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Artikel Jurnal
Long‐Term, Low‐Maintenance, and Impactful: Lessons Learned From Sustaining the NOHARM Pragmatic Clinical Trial
ABSTRACT Introduction Sustaining interventions implemented as part of pragmatic clinical trials requires proactive planning, but how to approach this process remains understudied. The Non‐pharmacological Options in Hospital‐based and Rehabilitation pain Management stepped‐wedge cluster‐randomized…
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Ambient AI Scribes as Emerging Infrastructure in the Learning Health System
ABSTRACT Ambient artificial intelligence (AI) scribes are systems that automatically generate clinical documentation from clinician‐patient conversations and are being deployed at accelerating pace across US health systems. Early evaluations report reduced documentation burden, improved clinician…
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Operationalizing Patient Experience Data as a System Feedback Asset in Learning Health Systems: Learnings From Model of Care Redesign at Trillium Health Partners
ABSTRACT Introduction Learning Health Systems (LHS) offer a pathway to continuously improve care by integrating data and lived experience, yet few practical examples demonstrate how LHS can be operationalized in hospital settings in ways that embed the voices of patients and families. This…
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Availability and Quality of Electronic Health Record Data to Track Physical Function Across a Care Transition
ABSTRACT Introduction Physical function (PF) is critical to quality of life and healthcare value, especially for older adults following hospitalization. Monitoring PF supports recovery, reduces adverse events, and improves care transitions. Despite the potential of electronic health records (EHRs)…
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Automatic Conversion of NICE Guidelines to an Executable Computational Model Using Large Language Models
ABSTRACT Introduction The UK National Institute for Health and Care Excellence (NICE) produce guidelines that provide evidence‐based recommendations to support clinical care across England and Wales, but remain available in unstructured natural language form. Converting these guidelines into…
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Engaging Arab/MENA Communities in Learning Health Systems: Insights and Guidance for Future Research on AI and Health Equity
ABSTRACT Introduction The integration of artificial intelligence (AI) tools in healthcare offers significant opportunities to improve patient care. However, underrepresented groups such as the Arab/Middle Eastern North African (MENA) community in the United States have historically been excluded in…
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Effect of Using Personalized Estimates of Diabetes Risk During Primary Care Visits for People With Prediabetes
ABSTRACT Background To assess acceptability, feasibility, and effectiveness of incorporating individualized risk prediction into clinical assessment, decision making, and communication of risk of type 2 diabetes, with and without preventive interventions, in patients with prediabetes. Methods We…
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Artikel Jurnal
Opportunities and Challenges in Using National EHR Networks for AI in Learning Health Systems
ABSTRACT Background National electronic health record (EHR) networks can support learning health systems (LHSs) by enabling large‐scale data aggregation, monitoring, and benchmarking, but their capacity to produce trustworthy and locally deployable machine learning and artificial intelligence…
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RescueGPT: An Automated System for Detecting Adverse Safety Events in Prehospital Emergency Medical Service Notes With a Zero‐Shot Approach With Large Language Models: A Proof‐of‐Concept Study
ABSTRACT Introduction and Objective Traditional adverse safety events (ASE) identification relies on domain experts to manually review and annotate charts, which hinders the scalability of processing high‐volume EMS data. This study explores the use of large language model (LLM) with a knowledge…
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Identification of Patients for a Community Health Worker Program Using an Artificial Intelligence Algorithm
ABSTRACT Introduction Community health workers (CHWs) help patients navigate community resources. CHW programs can improve health outcomes and reduce healthcare utilization, but identifying eligible patients is challenging. We developed an electronic health record (EHR)‐based algorithm trained to…
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AI‐powered nursing handoffs: Introducing and evaluating the patient report template
Abstract Purpose To understand (1) if nurses view the individual components of the Patient Report Template as useful in their day‐to‐day workflow, and (2) understand the perceptions of nurses related to artificial intelligence use in their day‐to‐day work. Materials and Methods A survey was…
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Large Language Models for Summarizing Advance Care Planning Information From Goals of Care Notes in the EHR
ABSTRACT Objectives Embedding systematic, structured data extraction within electronic health records (EHR) is vital for improved real‐time insights into care delivery. This study evaluates the feasibility of using large language models (LLMs) to extract structured advance care planning (ACP)…
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Access Improvement in Healthcare: Be Quick, but Don't Hurry?
ABSTRACT Background Access improvement is a fundamental component of value‐based healthcare as it inherently promotes quality by eliminating chokepoints, redundancies, and inefficiencies that could hinder the provisioning of timely care. Yet as healthcare organizations struggle with cost…
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A Perspective on Software Intelligence for Autonomous Transformations in Biomedical Data and Knowledge
ABSTRACT Introduction Persistent knowledge is essential for propagating the learning health system (LHS) cycle. Integral to the cycle are iterative transformations of data into knowledge. However, human efforts to undertake these transformations are increasingly challenged when dealing with larger…
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Exploring Factors That Impact Genetic Counseling Referral and Uptake Using Learning Health Approaches
ABSTRACT Introduction Germline testing and pretest genetic counseling are advised for many cancer patients, yet not all receive these services. Electronic Health Records (EHRs) offer a valuable resource to measure referral to genetic counseling (referral receipt) and uptake (completion of…
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Learning Health Systems Symposium: Charting the Future of Saskatchewan Healthcare
ABSTRACT Introduction This article shares insights from the Learning Health Systems Symposium, “Charting the Future of Saskatchewan Healthcare: Generating Value within our Health Systems.” Methods Patient Partners and over 100 professionals in the fields of research, healthcare, and policy joined…
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Artikel Jurnal
Clinical Informatics Education to Advance Learning Health Systems: A Scoping Review
ABSTRACT Introduction Learning health systems leverage clinical data and knowledge to advance healthcare quality. Effective training in informatics concepts and tools is essential for medical trainees to become health system experts and contributors to positive organizational change. The objective…
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Empirical research related to the ethics of pragmatic clinical trials: A scoping review
Abstract Background Pragmatic clinical trials (PCTs) offer insights into real‐world intervention effectiveness, but they may involve challenging ethical issues. Empirical ethics research may inform deliberations about them. Methods We conducted a scoping review of empirical ethics research related…