Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Research graph
References from From electronic health records to real-world evidence: Savana Next-Generation Registry digital solution. Local targets link to admitted publications; unresolved targets remain external evidence.
Managing unstructured big data in healthcare system
10.4258/hir.2019.25.1.1 · 2019 · External reference
Unresolved reference
2025 · External reference
Data privacy in healthcare: global challenges and solutions
2025 · External reference
Ambiguity in medical concept normalization: an analysis of types and coverage in electronic health record datasets
10.1093/jamia/ocaa269 · 2021 · External reference
Challenges in clinical natural language processing for automated disorder normalization
10.1016/j.jbi.2015.07.010 · 2015 · External reference
A systematic review of NLP applications in clinical healthcare: advancement and challenges
2024 · External reference
A short review of ethical challenges in clinical natural language processing
2017 · External reference
Getting more out of large databases and EHRs with natural language processing and artificial intelligence: the future is here
10.2106/jbjs.22.00567 · 2022 · External reference
Identifying the capabilities for creating next-generation registries: a guide for data leaders and a case for “registry science”
10.1093/jamia/ocae024 · 2024 · External reference
Applying clinical natural language processing to lung cancer in Spain: a terminology-based panel approach
2026 · External reference
Development of a predictive model of venous thromboembolism recurrence in anticoagulated cancer patients using machine learning
10.1016/j.thromres.2023.06.015 · 2023 · External reference
Real-world evidence on the clinical characteristics and management of patients with chronic lymphocytic leukemia in Spain using natural language processing: the SRealCLL study
10.3390/cancers15164047 · 2023 · External reference
Correction: Prediction model for major bleeding in anticoagulated patients with cancer-associated venous thromboembolism using machine learning and natural language processing
10.1007/s12094-024-03780-2 · 2025 · External reference
Real-world evidence on adverse events and healthcare resource utilization in patients with chronic lymphocytic leukaemia in Spain using natural language processing: the SRealCLL study
10.3390/cancers16234004 · 2024 · External reference
External validation of a prediction model for bleeding events in anticoagulated cancer patients with venous thromboembolism (PredictAI)
10.1007/s12094-025-03890-5 · 2025 · External reference
Real-world evidence in localized and locally advanced prostate cancer: applying artificial intelligence to electronic health records
10.1186/s12885-025-14828-z · 2025 · External reference
Real-world insights into stage I-III non-small cell lung cancer in Spain in the pre-immunotherapy era using AI techniques: the IntellyLUNG study
2026 · External reference
SEOM clinical guidelines on venous thromboembolism (VTE) and cancer (2023)
10.1007/s12094-024-03605-2 · 2024 · External reference
Unresolved reference
2025 · External reference
Adverse events in routine real world clinical practice in patients with HER2-negative early breast cancer according to BRCA status: a retrospective observational study using artificial intelligence in Spain [abstract]
2025 · External reference
Early detection of undiagnosed COPD: leveraging predictive algorithms on pre-diagnostic real world data [abstract]
2024 · External reference
Toward a better paradigm for head and neck cancer treatment applying AI (HNC-TACTIC): protocol for an international cohort study of electronic health records
10.2196/83598 · 2026 · External reference
Unresolved reference
2026 · External reference
Understanding severe asthma through small and big data in Spanish hospitals: the PAGE study
10.18176/jiaci.0848 · 2023 · External reference
Oral anticoagulant treatment in atrial fibrillation: the AFIRMA real-world study using natural language processing and machine learning
10.1016/j.rce.2024.05.005 · 2024 · External reference
Prevalence and clinical characteristics of patients with rheumatoid arthritis with interstitial lung disease using unstructured healthcare data and machine learning
10.1136/rmdopen-2023-003353 · 2024 · External reference
Assessment of medical management in coronary type 2 diabetic patients with previous percutaneous coronary intervention in Spain: a retrospective analysis of electronic health records using natural language processing
10.1371/journal.pone.0263277 · 2022 · External reference
Major adverse cardiovascular events in coronary type 2 diabetic patients: identification of associated factors using electronic health records and natural language processing
10.3390/jcm11206004 · 2022 · External reference
Patient journey of individuals tested for HCV in Spain: LiverTAI, a retrospective analysis of EHRs through natural language processing
10.1016/j.gastrohep.2022.10.012 · 2023 · External reference
Characterizing the clinical profile and prevalence of people with diabetes attended in the hospital setting by using unstructured healthcare data and natural language processing: the Diabetic@ study
10.1016/j.diabres.2025.112214 · 2025 · External reference
Assessing the real-world impact of interstitial lung disease in patients with rheumatoid arthritis on healthcare resources and treatment patterns through natural language processing
10.1016/j.ero.2026.03.010 · 2026 · External reference
Using natural language processing to explore characteristics and management of patients with axial spondyloarthritis and psoriatic arthritis treated under real-world conditions in Spain: SpAINET study
10.1177/1759720x231220818 · 2023 · External reference
Clinical characteristics and management of patients with secondary hyperparathyroidism undergoing hemodialysis: a feasibility analysis of electronic health records using natural language processing
10.1159/000528784 · 2023 · External reference
Symptoms timeline and outcomes in amyotrophic lateral sclerosis using artificial intelligence
10.1038/s41598-023-27863-2 · 2023 · External reference
Botulinum toxin type A (BoNT-A) use for post-stroke spasticity: a multicenter study using natural language processing and machine learning
10.3390/toxins16080340 · 2024 · External reference
Remdesivir associated with reduced mortality in hospitalized COVID-19 patients: treatment effectiveness using real-world data and natural language processing
10.1186/s12879-025-10817-6 · 2025 · External reference
Retrospective study of onychomycosis patients treated with ciclopirox 8% HPCH and oral antifungals applying artificial intelligence to electronic health records
10.1038/s41598-025-10875-5 · 2025 · External reference
Lurasidone uses and dosages in Spain: RETROLUR, a real-world retrospective analysis using artificial intelligence
10.3389/fpsyt.2024.1506142 · 2025 · External reference
Safety and effectiveness of oral anticoagulants in atrial fibrillation: real-world insights using natural language processing and machine learning
10.3390/jcm13206226 · 2024 · External reference
Predictive model for a second hip fracture occurrence using natural language processing and machine learning on electronic health records
10.1038/s41598-023-50762-5 · 2024 · External reference
Predicting chronic kidney disease in type 2 diabetes using natural language processing on healthcare data
10.1159/000547604 · 2025 · External reference
1399P Prognostic model driven by explainable AI integrating multilingual EHR data outperforms TNM staging in locally advanced HNSCC
2025 · External reference
Natural language processing of unstructured healthcare data for predicting heart failure in individuals with type 2 diabetes
10.3390/jcm15093287 · 2026 · External reference
Development and validation of interpretable machine learning models to detect unconfirmed hepatitis C using electronic health records (LiverTAI)
10.1016/j.gastrohep.2026.502774 · 2026 · External reference
Clinical characterization of inpatients with acute conjunctivitis: a retrospective analysis by natural language processing and machine learning
10.3390/app122312352 · 2022 · External reference
Bridging the gap: from Petri dish to patient–advancements in translational drug discovery
10.1016/j.heliyon.2024.e41317 · 2025 · External reference
Actioning the Learning Health System: an applied framework for integrating research into health systems
2024 · External reference
Toward structuring real-world data: deep learning for extracting oncology information from clinical text with patient-level supervision
2023 · External reference
Data for registry and quality review can be retrospectively collected using natural language processing from unstructured charts of arthroplasty patients
10.1302/0301-620x.102b7.bjj-2019-1574.r1 · 2020 · External reference
Natural language processing for the development of a clinical registry: a validation study in intraductal papillary mucinous neoplasms
10.1111/j.1477-2574.2010.00235.x · 2010 · External reference
Toward real-time reporting of cancer incidence: methodology, pilot study, and SEER Program implementation
10.1093/jncimonographs/lgae024 · 2024 · External reference
CDC’s public health surveillance of cancer
10.5888/pcd14.160480 · 2017 · External reference
Data quality assessment in the SWEDEHEART registry: insights from serial audits on completeness and accuracy
10.1016/j.ahj.2025.04.028 · 2025 · External reference
Cohort profile: data standards for cardiac rehabilitation structure and processes for the SWEDEHEART cardiac rehabilitation (SWEDEHEART-CR) registry
10.1371/journal.pone.0293840 · 2023 · External reference
Assessing the feasibility and external validity of natural language processing-extracted data for advanced lung cancer patients
10.1016/j.lungcan.2025.108080 · 2025 · External reference
Development and validation of a novel AI framework using NLP with LLM integration for relevant clinical data extraction through automated chart review
10.1038/s41598-024-77535-y · 2024 · External reference
Enhancing clinical data retrieval with Smart Watchers: a NiFi-based ETL pipeline for Elasticsearch queries
10.1186/s12911-024-02633-w · 2024 · External reference
Reliability and efficiency of the CAPRI-3 metastatic prostate cancer registry driven by artificial intelligence
10.3390/cancers15153808 · 2023 · External reference
Natural language processing to identify advance care planning documentation in a multisite pragmatic clinical trial
10.1016/j.jpainsymman.2021.06.025 · 2022 · External reference
Application of a natural language processing algorithm to asthma ascertainment. An automated chart review
10.1164/rccm.201610-2006oc · 2017 · External reference
Automating access to real-world evidence
2022 · External reference
Capturing surgical data: comparing a quality improvement registry to natural language processing and manual chart review
10.1007/s11605-022-05282-4 · 2022 · External reference
An accessible, efficient, and accurate natural language processing method for extracting diagnostic data from pathology reports
10.1016/j.jpi.2022.100154 · 2022 · External reference
A comparison of a large language model vs manual chart review for the extraction of data elements from the electronic health record
10.1053/j.gastro.2023.12.019 · 2024 · External reference
Automated fall detection algorithm with global trigger tool, incident reports, manual chart review, and patient-reported falls: algorithm development and validation with a retrospective diagnostic accuracy study
10.2196/19516 · 2020 · External reference
Clinical characteristics and prognostic factors for intensive care unit admission of patients with COVID-19: retrospective study using machine learning and natural language processing
10.2196/21801 · 2020 · External reference
Impact of advanced age on the incidence of major adverse cardiovascular events in patients with type 2 diabetes mellitus and stable coronary artery disease in a real-world setting in Spain
10.3390/jcm12165218 · 2023 · External reference
Evaluation of natural language processing for the identification of Crohn disease-related variables in Spanish electronic health records: a validation study for the PREMONITION-CD project
10.2196/30345 · 2022 · External reference
Clinical characteristics and prognostic factors for Crohn’s disease relapses using natural language processing and machine learning: a pilot study
10.1097/meg.0000000000002317 · 2022 · External reference
Chronic liver disease-associated severe thrombocytopenia in Spain: results from a retrospective study using machine learning and natural language processing
10.1016/j.gastrohep.2023.05.010 · 2024 · External reference