Mapping the landscape: A protocol of a jurisdictional scan of self-identified learning health systems DOI Creative Commons
Shelley Vanderhout, Marissa Bird, Antonia Giannarakos

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Окт. 27, 2023

Abstract Background There is a growing movement to implement learning health systems (LHS), in which real-time evidence, informatics, patient-provider partnerships and experiences, organizational culture are aligned support improvements care. However, what constitutes LHS varies based on context capacity, hindering standardization, scale-up, knowledge sharing. Further, often use “usual care” as the benchmark for comparing new approaches care, but disentangling usual care from multifarious modalities found across settings challenging. To advance robust LHS, comprehensive overview of existing including strengths opportunities growth needed. Objectives scope identify international to: 1) inform global landscape highlight common strengths, or improvement; 2) characteristics, emphases, assumptions, challenges described establishing counterfactuals LHS. Methods A jurisdictional scan will be conducted according modified PRISMA guidelines. identified through search peer-reviewed grey literature using Ovid Medline, Ebsco CINAHL, Embase, Clarivate Web Science, PubMed Non-Medline databases web along with informal discussions peer experts. Self-identified included if they sufficient detail, either during discussions, ≥4 10 criteria (core functionalities, analytics, co-design/implementation, evaluation, change management/governance structures, data sharing, training/capacity building, equity, sustainability) an framework characterize Search results screened, extracted, analyzed two descriptive reviews pertaining our main objectives. Data extracted pre-specified extraction form summarized descriptively. Implications This research current worldwide provide foundation promoting resource identifying next steps growth, improvement, evaluation

Язык: Английский

Bridging practice and research: differentiating quality improvement, quality assurance, and quality improvement research in a learning health system DOI Creative Commons
Rochelle Wynne,

Reem Omarit,

Shane Crowe

и другие.

European Journal of Cardiovascular Nursing, Год журнала: 2025, Номер unknown

Опубликована: Янв. 27, 2025

Abstract Evidence-based practice integrates research into clinical care to enhance patient outcomes, yet gaps persist in translating evidence practice. Learning health systems (LHSs) address these by embedding knowledge generation within healthcare delivery. These use information improve and the value, quality, efficiency of providing services. In this paper, distinctions between quality improvement (QI), assurance, QI LHS are described, importance nurse-led initiatives foster research-oriented culture is emphasized. understanding methodologies, nurses can drive translation evaluation for improvement, advance overcome traditional barriers uptake evaluation.

Язык: Английский

Процитировано

0
Organizational Characteristics Associated with Sustained Participation in Internal Quality Improvement: Findings from Two Waves of a National Sample of Physician Practices in the United States DOI
Vanessa B. Hurley, Amanda L. Brewster, Matthew J. DePuccio

и другие.

Social Science & Medicine, Год журнала: 2025, Номер 369, С. 117826 - 117826

Опубликована: Фев. 8, 2025

Язык: Английский

Процитировано

0
Charting progress in learning health systems: A systematic review of 5 years of definitions, models, and frameworks DOI Creative Commons
Louise A. Ellis, Georgia Fisher, Maree Saba

и другие.

Learning Health Systems, Год журнала: 2025, Номер unknown

Опубликована: Фев. 27, 2025

Abstract Introduction Since being introduced by the Institute of Medicine (IoM) in 2007, learning health system (LHS) concept has gained traction as a promising solution for achieving systems‐level healthcare transformation. This review LHS literature consolidates current understanding definitions, models, frameworks, and underlying theory, relative to their initial conceptualization IoM. Methods Three academic databases (PubMed, Embase, Scopus) were searched peer‐reviewed between 2018 2023. Articles included that explicitly focused on LHSs described an definition, model, or framework. Extracted article information key characteristics type; definition(s) reference(s); components models frameworks; any reported theories underpinning frameworks. data examined using thematic visual network analyses, practical examples how domains can be actualized settings synthesized. Results The majority 226 articles nonempirical (47%) originated from high‐income countries (97%), with significant portion United States (62%). A third implemented real‐world setting (35%). (82%) provided definition LHS, concepts centering around “knowledge practice,” “workplace culture,” “informatics.” Over half model From deductive‐inductive coding 145 most identified aspects related Science Informatics (83%) Continuous Learning Culture (81%), prevalent sub‐domain Supportive System Competencies (76%). Implementation science was used theory underpin existing Conclusions By dissecting we present integrated framework serve useful tool researchers, clinicians, policymakers working improve performance outcomes.

Язык: Английский

Процитировано

0
Implementation Barriers and Facilitators of an Integrated Care Initiative Targeting Socioeconomically Vulnerable Groups DOI Creative Commons

Jonne G. ter Braake,

A. F. T. M. van Ede,

Tara Kwakkernaat

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Март 12, 2025

Abstract Background Integrated care initiatives for socioeconomically vulnerable groups have the potential to deliver personalised care, enhance health outcomes, and foster greater equity within healthcare system. However, incorporation of these into standard is rare. Insight implementation barriers facilitators select strategies further upscaling are therefore needed.Methods We conducted a case study on an integrated initiative adopting interprofessional collaborative practice patient-centred citizens with prediabetes in form group consultations. used qualitative design guided by Consolidated Framework Implementation Research (CFIR) combination Rainbow Model Care. Semi-structured interviews focus were among stakeholders, including social professionals, policy makers, experts experience. analysis analyse data. matched selection using CFIR’s Expert Recommendations matching tool.Results 28 one (n = 16). Key included insufficient involvement consultations, which could be overcome involving patients/consumers family members Additionally, we identified lack embedding current system fragmentation funding as barriers. By developing formal blueprint, obtaining commitments, other payment schemes, resource sharing agreements, addressed. Finally, inadequate evaluation was barrier. This improved capturing local knowledge organising quality monitoring widespread enthusiasm concept sense urgency change, adaptability context.Conclusions Citizen initiative, such key determinant when targeting groups. Further research needed explore options or beyond siloed systems.

Язык: Английский

Процитировано

0
Hybrid deep learning for climate prediction with temporal, spatial, and environmental data DOI
Tb Ai Munandar, Herison Surbakti

International Journal of Information Technology, Год журнала: 2025, Номер unknown

Опубликована: Март 27, 2025

Язык: Английский

Процитировано

0
Operationalizing a learning health system: A self‐assessment tool for interprofessional teams DOI Creative Commons
Victor Cattani Rentes, Claire Z. Kalpakjian, Anne Sales

и другие.

Learning Health Systems, Год журнала: 2025, Номер unknown

Опубликована: Янв. 8, 2025

Abstract Background The operationalization of learning health system (LHS) principles remains challenging, with minimal guidance currently available to support interprofessional teams on the ground. Consequently, LHS initiatives often fall short their intended objectives, resulting in wasted resources, delays, and mounting frustration among key stakeholders. Methods To bridge this gap, we used design science participatory action research co‐develop an operational roadmap for teams. Data sources included quantitative qualitative feedback from stakeholders ( n = 20) academic a pragmatic literature review. Using these data sources, conducted three iterations until final version was reached. Results specifies processes be performed during project‐based initiatives, provides self‐assessment tool that enables team members quantitatively evaluate progress. For generalizability standardization across settings, clinically neutral terminology describe all elements roadmap. We demonstrated content validity through multiple rounds collection analyses A simulated demonstration is provided illustrate how may assessments practice. Conclusions Participants considered effective assist project management highly useful evaluating teams' progress planning communication purposes. As reference model, re‐utilized any given standardize streamline development. This within single department system, future needed assess roadmap's other settings. facilitate development similar or complementary instruments, detailed methodology replicated and/or tailored contexts.

Язык: Английский

Процитировано

0
Rethinking Healthcare: Why Paradox Science Is Core to the Future of Health and Health Leadership DOI Creative Commons
Laura Desveaux

Journal of Healthcare Leadership, Год журнала: 2025, Номер Volume 17, С. 45 - 48

Опубликована: Фев. 1, 2025

Solutions to healthcare's most persistent and pervasive challenges remain elusive because we approach them as navigating oppositional tensions: the need drive efficiency versus improve quality, leverage cutting-edge technology maintain human compassion, address population health providing care patient in front of you. The key transforming healthcare lies ability leaders recognize when tensions are fact paradoxes at play, increase capability collective capacity navigate them. Paradox science contends sustainable solutions intractable come not from eliminating that operate within complexity but those involved hold opposing ideas productive balance. It empowers their teams find innovative paths by engaging with directly. This perspective piece outlines three steps can take apply paradox practice, descriptions example actions for each: 1) Clarify paradox, 2) Encourage experimentation, 3) Adopt a dynamic view. Moving forward, must forward innovation agendas order truly transform experience patients, populations, workforce serves

Язык: Английский

Процитировано

0
Intermountain as a Learning Health System: Key Successes and Future Directions DOI

Ros Roberts,

Timothy R. Fowles,

Tom Belnap

и другие.

Quality Management in Health Care, Год журнала: 2025, Номер 34(2), С. 143 - 144

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Four distinct models of learning health systems: Strength through diversity DOI Creative Commons
Charles P. Friedman, Sarah M. Greene

Learning Health Systems, Год журнала: 2025, Номер unknown

Опубликована: Апрель 10, 2025

The concept of a learning health system (LHS) was established nearly 20 years ago as unifying commitment to speed the generation and use evidence primarily by leveraging rapid advances in data technologies, resulting optimized care for each patient. In ensuing decades, vanguard adopters LHS who have sought move from conceptual operational done so ways that fit with reflect their organizational structure, mission, culture-as well personal values experiences. They also extended focus include individual population more broadly. This commentary describes four distinctive models evolved activities matured. Viewing this diversity strength, features, commonalities, unique differences these are described.

Язык: Английский

Процитировано

0
The surprising politics of learning health systems DOI Creative Commons
Adalsteinn Brown, Robert J. Reid

Learning Health Systems, Год журнала: 2025, Номер unknown

Опубликована: Апрель 16, 2025

Abstract Learning Health Systems (LHS) are an increasingly common element of health policy reform efforts in a number jurisdictions. There is little disagreement around the LHS vision, and early adopters provide some development guidance. Despite attractiveness progress on adoption by systems remains slow. In this commentary, we consider one potential reason, namely politics, or ways which government bodies, interest groups, political ideas shape structures policies. can change that work interact with payors populations thereby create challenges. The need for upfront new investment to build capacity activities, creation partnerships collaborations, increased transparency, direct engagement all risks subsequent barriers. With broad population focus extends across typical cycles, politics may even greater barrier. We suggest building strong engagement, clear transparent accountabilities, communities practice other vehicles promote data sharing careful attention risk management help reduce Some sets policies—like value‐based care—can support these sorts changes accelerate LHS.

Язык: Английский

Процитировано

0