ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2010
Rapid-learning system for cancer care.
Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 158 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
158 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- An Exploration of the Utility and Impacts of Implementation Science Strategies by Cancer Registries for Healthcare Improvement: A Systematic Review.International journal of health policy and management · 2024Pooled it
- Clinical decision support for therapeutic decision-making in cancer: A systematic review.International journal of medical informatics · 2019Pooled it
- Implementation of a rapid learning platform: Predicting 2-year survival in laryngeal carcinoma patients in a clinical setting.Oncotarget · 2016Trial
- Are Patients With Cancer Less Willing to Share Their Health Information? Privacy, Sensitivity, and Social Purpose.Journal of oncology practice · 2015Trial
- Cost, context, and confounding: rethinking real-world data generation and interpretation in advanced NSCLC.The oncologist · 2026Article
- Implementing a rapid-learning health system in early intervention services for psychosis: qualitative evaluation of its feasibility and acceptability.Health research policy and systems · 2025Article
- Continuous multimodal data supply chain and expandable clinical decision support for oncology.NPJ digital medicine · 2025Article
- Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling.PloS one · 2025Article
- Learning health systems to implement chronic disease prevention programs: A novel framework and perspectives from an Australian health service.Learning health systems · 2024Article
- Bridging the Divide: A Review on the Implementation of Personalized Cancer Medicine.Journal of personalized medicine · 2024Review
- Review
- Using a Rapid Learning Health System for Stratified Care in Emerging Adult Mental Health Services: Protocol for the Implementation of Patient-Reported Outcome Measures.JMIR research protocols · 2024Article
- Evaluating Large Language Models in Extracting Cognitive Exam Dates and Scores.medRxiv : the preprint server for health sciences · 2024Article
- Survivorship care in breast cancer: understanding implementation barriers through the lens of the Theoretical Domains Framework.JNCI cancer spectrum · 2024Article
- Feasibility of implementing a rapid-learning methodology to inform radiotherapy treatments: key professional stakeholders' views.BMJ oncology · 2024Article
- Computed Tomography Scan and Clinical-based Complete Response Prediction in Locally Advanced Rectal Cancer after Neoadjuvant Chemoradiotherapy: A Machine Learning Approach.Journal of medical signals and sensors · 2024Article
- Inferring cancer disease response from radiology reports using large language models with data augmentation and prompting.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Health Data Sharing Perspectives of Patients Receiving Care in CancerLinQ-Participating Oncology Practices.JCO oncology practice · 2023Article
- Short- and long-term strategies for navigating research-ambivalent organizational cultures besetting embedded researchers.Learning health systems · 2023Article
- Feasibility of perioperative remote monitoring of patient-generated health data in complex surgical oncology.Journal of surgical oncology · 2023Article
98 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Compelling public interest is propelling national efforts to advance the evidence base for cancer treatment and control measures and to transform the way in which evidence is aggregated and applied. Substantial investments in health information technology, comparative effectiveness research, health care quality and value, and personalized medicine support these efforts and have resulted in considerable progress to date. An emerging initiative, and one that integrates these converging approaches to improving health care, is "rapid-learning health care." In this framework, routinely collected real-time clinical data drive the process of scientific discovery, which becomes a natural outgrowth of patient care. To better understand the state of the rapid-learning health care model and its potential implications for oncology, the National Cancer Policy Forum of the Institute of Medicine held a workshop entitled "A Foundation for Evidence-Driven Practice: A Rapid-Learning System for Cancer Care" in October 2009. Participants examined the elements of a rapid-learning system for cancer, including registries and databases, emerging information technology, patient-centered and -driven clinical decision support, patient engagement, culture change, clinical practice guidelines, point-of-care needs in clinical oncology, and federal policy issues and implications. This Special Article reviews the activities of the workshop and sets the stage to move from vision to action.
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Registered trials
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.