ArticleLearning health systems2018
The Knowledge Object Reference Ontology (KORO): A formalism to support management and sharing of computable biomedical knowledge for learning health systems.
Article in Learning health systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
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- An artificial intelligence-powered learning health system to improve sepsis detection and quality of care: a before-and-after study.NPJ digital medicine · 2026Article
- Evaluating health organization readiness for implementing a learning health system: a scoping review.Health research policy and systems · 2025Article
- Use of the iPRISM webtool in a learning community to assess implementation context and fit of a novel clinical decision support tool for physical therapy triage in acute care hospitals.PM & R : the journal of injury, function, and rehabilitation · 2025Article
- Ten simple rules to make computable knowledge shareable and reusable.PLoS computational biology · 2024Article
- Data to knowledge to improvement: creating the learning health system.BMJ (Clinical research ed.) · 2024Article
- Modeling Precision Feedback Knowledge for Healthcare Professional Learning and Quality Improvement.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Evidence Hub: A place to exchange medical knowledge and form communities.Learning health systems · 2023Article
- Methodologies for Evaluating the Usability of Rehabilitation Technologies Aimed at Supporting Shared Decision-Making: Scoping Review.JMIR rehabilitation and assistive technologies · 2023Article
- CBK model composition using paired web services and executable functions: A demonstration for individualizing preventive services.Learning health systems · 2023Article
- A Learning Health System Infrastructure for Precision Rehabilitation After Stroke.American journal of physical medicine & rehabilitation · 2023Article
- A framework for understanding, designing, developing and evaluating learning health systems.Learning health systems · 2023Article
- Applying learning health systems thinking in codeveloping integrated tuberculosis interventions in the contexts of COVID-19.BMJ global health · 2022Article
- A Scalable Service to Improve Health Care Quality Through Precision Audit and Feedback: Proposal for a Randomized Controlled Trial.JMIR research protocols · 2022Article
- Categorizing metadata to help mobilize computable biomedical knowledge.Learning health systems · 2022Article
- The Evolution of Clinical Knowledge During COVID-19: Towards a Global Learning Health System.Yearbook of medical informatics · 2021Article
- Enablers of Patient Knowledge Empowerment for Self-Management of Chronic Disease: An Integrative Review.International journal of environmental research and public health · 2021Review
- An Analysis of the Learning Health System in Its First Decade in Practice: Scoping Review.Journal of medical Internet research · 2020Article
- A framework for value-creating learning health systems.Health research policy and systems · 2019Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionHealth systems are challenged by care underutilization, overutilization, disparities, and related harms. One problem is a multiyear latency between discovery of new best practice knowledge and its widespread adoption. Decreasing this latency requires new capabilities to better manage and more rapidly share biomedical knowledge in computable forms. Knowledge objects package machine-executable knowledge resources in a way that easily enables knowledge as a service. To help improve knowledge management and accelerate knowledge sharing, the Knowledge Object Reference Ontology (KORO) defines what knowledge objects are in a formal way.
methodsDevelopment of KORO began with identification of terms for classes of entities and for properties. Next, we established a taxonomical hierarchy of classes for knowledge objects and their parts. Development continued by relating these parts via formally defined properties. We evaluated the logical consistency of KORO and used it to answer several competency questions about parthood. We also applied it to guide knowledge object implementation.
resultsAs a realist ontology, KORO defines what knowledge objects are and provides details about the parts they have and the roles they play. KORO provides sufficient logic to answer several basic but important questions about knowledge objects competently. KORO directly supports creators of knowledge objects by providing a formal model for these objects.
conclusionKORO provides a formal, logically consistent ontology about knowledge objects and their parts. It exists to help make computable biomedical knowledge findable, accessible, interoperable, and reusable. KORO is currently being used to further develop and improve computable knowledge infrastructure for learning health systems.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.