ArticleBiomedical informatics insights2016
Toward a Learning Health-care System - Knowledge Delivery at the Point of Care Empowered by Big Data and NLP.
Article in Biomedical informatics insights, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Transforming epilepsy research: A systematic review on natural language processing applications.Epilepsia · 2023Pooled it
- Artificial intelligence-enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial.Nature medicine · 2021Trial
- Syncope and All-Cause Mortality in Heart Failure: A Propensity Score-Matched Analysis.Mayo Clinic proceedings. Innovations, quality & outcomes · 2025Article
- Synoptic reporting by summarizing cancer pathology reports using large language models.npj health systems · 2025Article
- Deep learning classification of pediatric spinal radiographs for use in large scale imaging registries.Spine deformity · 2024Article
- Identification of pancreatic cancer risk factors from clinical notes using natural language processing.Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] · 2024Article
- The Digitization and Decentralization of Clinical Trials.Mayo Clinic proceedings · 2023Review
- Near Real-time Natural Language Processing for the Extraction of Abdominal Aortic Aneurysm Diagnoses From Radiology Reports: Algorithm Development and Validation Study.JMIR medical informatics · 2023Article
- Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports.BMC medical informatics and decision making · 2022Article
- Article
- PO2RDF: representation of real-world data for precision oncology using resource description framework.BMC medical genomics · 2022Article
- Assessment of the risk factors of type II diabetes using ACO with self-regulative update function and decision trees by evaluation from Fisher's Z-transformation.Medical & biological engineering & computing · 2022Article
- Patient Experiences, Trust, and Preferences for Health Data Sharing.JCO oncology practice · 2022Article
- Quality assessment of functional status documentation in EHRs across different healthcare institutions.Frontiers in digital health · 2022Article
- The Impact of Big Data Management Capabilities on the Performance of Manufacturing Firms in Asian Economy During COVID-19: The Mediating Role of Organizational Agility and Moderating Role of Information Technology Capability.Frontiers in psychology · 2022Article
- Impact of Different Approaches to Preparing Notes for Analysis With Natural Language Processing on the Performance of Prediction Models in Intensive Care.Critical care explorations · 2021Article
- Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study.JMIR medical informatics · 2021Article
- Usability of a Digital Registry to Promote Secondary Prevention for Peripheral Artery Disease Patients.Mayo Clinic proceedings. Innovations, quality & outcomes · 2021Article
- Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness.BMC medical informatics and decision making · 2021Article
- Modeling cancer clinical trials using HL7 FHIR to support downstream applications: A case study with colorectal cancer data.International journal of medical informatics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
The concept of optimizing health care by understanding and generating knowledge from previous evidence, ie, the Learning Health-care System (LHS), has gained momentum and now has national prominence. Meanwhile, the rapid adoption of electronic health records (EHRs) enables the data collection required to form the basis for facilitating LHS. A prerequisite for using EHR data within the LHS is an infrastructure that enables access to EHR data longitudinally for health-care analytics and real time for knowledge delivery. Additionally, significant clinical information is embedded in the free text, making natural language processing (NLP) an essential component in implementing an LHS. Herein, we share our institutional implementation of a big data-empowered clinical NLP infrastructure, which not only enables health-care analytics but also has real-time NLP processing capability. The infrastructure has been utilized for multiple institutional projects including the MayoExpertAdvisor, an individualized care recommendation solution for clinical care. We compared the advantages of big data over two other environments. Big data infrastructure significantly outperformed other infrastructure in terms of computing speed, demonstrating its value in making the LHS a possibility in the near future.
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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.