European Health Data & Evidence Network—learnings from building out a standardized international health data network

EA Voss, C Blacketer, S van Sandijk… - Journal of the …, 2024 - academic.oup.com
Objective Health data standardized to a common data model (CDM) simplifies and facilitates
research. This study examines the factors that make standardizing observational health data …

[HTML][HTML] Ten topics to get started in medical informatics research

M Wolfien, N Ahmadi, K Fitzer, S Grummt… - Journal of Medical …, 2023 - jmir.org
The vast and heterogeneous data being constantly generated in clinics can provide great
wealth for patients and research alike. The quickly evolving field of medical informatics …

[HTML][HTML] Exploring the similarities and differences of burn registers globally: Results from a data dictionary comparison study

E Bebbington, J Miles, A Young, ME van Baar… - Burns, 2024 - Elsevier
Introduction Pooling and comparing data from the existing global network of burn registers
represents a powerful, yet untapped, opportunity to improve burn prevention and care. There …

[HTML][HTML] Evaluation of OMOP CDM, i2b2 and ICGC ARGO for supporting data harmonization in a breast cancer use case of a multicentric European AI project

S Frid, GB Cucó, JG Rojas, A López-Rueda… - Journal of Biomedical …, 2023 - Elsevier
Objective Observational research in cancer poses great challenges regarding adequate
data sharing and consolidation based on a homogeneous data semantic base. Common …

[HTML][HTML] Adoption of the OMOP CDM for Cancer Research using Real-world Data: Current Status and Opportunities

L Wang, A Wen, S Fu, X Ruan, M Huang, R Li, Q Lu… - medRxiv, 2024 - ncbi.nlm.nih.gov
Background: The Observational Medical Outcomes Partnership (OMOP) common data
model (CDM) that is developed and maintained by the Observational Health Data Sciences …

Transforming a Large-Scale Prostate Cancer Outcomes Dataset to the OMOP Common Data Model—Experiences from a Scientific Data Holder's Perspective

NT Sibert, J Soff, S La Ferla, M Quaranta, A Kremer… - Cancers, 2024 - mdpi.com
Simple Summary To obtain new insights in prostate cancer care, multiple clinics and
research institutions must jointly analyse their data (by some, referred to as “big data …

Mapping the Oncological Basis Dataset to the Standardized Vocabularies of a Common Data Model: A Feasibility Study

J Carus, L Trübe, P Szczepanski, S Nürnberg, H Hees… - Cancers, 2023 - mdpi.com
Simple Summary Resident physicians and medical institutions in Germany are required to
report diagnostics, treatments, progression, and follow-up information for tumor patients to …

Semi-Automated Mapping of German Study Data Concepts to an English Common Data Model

A Chechulina, J Carus, P Breitfeld, C Gundler, H Hees… - Applied Sciences, 2023 - mdpi.com
The standardization of data from medical studies and hospital information systems to a
common data model such as the Observational Medical Outcomes Partnership (OMOP) …

[图书][B] Data Standardization, Federated Learning, and Informed Consent Algorithms and Tools to Honor Patient Privacy and Preferences in Clinical Research

J Kim - 2023 - search.proquest.com
There is growing public awareness and concern about patient privacy and the potential risks
of sharing clinical data for research. While investigators try to collect large amounts of data to …

Integration of Oncological Data into openEHR: A Path Towards Improved Cancer Care and Research

J Schladetzky, N Reimer, H Nicolaus… - Digital Health and …, 2024 - ebooks.iospress.nl
The integration of tumor-related diagnosis and therapy data is a key factor for cancer-related
collaborative projects and research projects on-site. The Medical Data Integration Center …