Results 11 to 20 of about 1,576 (169)

Conversion of Automated 12-Lead Electrocardiogram Interpretations to OMOP CDM Vocabulary [PDF]

Applied Clinical Informatics, 2022
Abstract Background A computerized 12-lead electrocardiogram (ECG) can automatically generate diagnostic statements, which are helpful for clinical purposes. Standardization is required for big data analysis when using ECG data generated by different interpretation algorithms.
Choi, Sunho, Joo, Hyung Joon, Kim, Yoojoong, Kim, Jong-Ho, Seok, Junhee   +4 more
openaire   +3 more sources

Toward bidirectional FHIR–OMOP CDM transformations using TermX to support the secondary use of real-world health data within a patient-centered digital health paradigm [PDF]

Frontiers in Medicine
The increasing digitization of healthcare has led to vast amounts of clinical data, much of which remains underutilized for research. While Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR) improves interoperability in clinical ...
Hanna Kätlin Ardel, Rainer Randmaa, Igor Bossenko, Gunnar Piho, Peeter Ross, Peeter Ross   +5 more
doaj   +2 more sources

Analysis of treatment pathways for three chronic diseases using OMOP CDM [PDF]

Journal of Medical Systems, 2018
The present study examined treatment pathways (the ordered sequence of medications that a patient is prescribed) for three chronic diseases (hypertension, type 2 diabetes, and depression), compared the pathways with recommendations from guidelines, discussed differences and standardization of medications in different medical institutions, explored ...
Zhang, Xin, Wang, Li, Miao, Shumei, Xu, Hua, Yin, Yuechuchu, Zhu, Yueshi, Dai, Zuolei, Shan, Tao, Jing, Shenqi, Wang, Jian, Zhang, Xiaoliang, Huang, Zhongqiu, Wang, Zhongmin, Guo, Jianjun, Liu, Yun   +14 more
openaire   +3 more sources

Perceived Risk of Re-Identification in OMOP-CDM Database: A Cross-Sectional Survey [PDF]

Journal of Korean Medical Science, 2022
The advancement of information technology has immensely increased the quality and volume of health data. This has led to an increase in observational study, as well as to the threat of privacy invasion. Recently, a distributed research network based on the common data model (CDM) has emerged, enabling collaborative international medical research ...
Yae Won Tak, Seng Chan You, Jeong Hyun Han, Soon-Seok Kim, Gi-Tae Kim, Yura Lee   +5 more
openaire   +4 more sources

OMOP CDM Can Facilitate Data-Driven Studies for Cancer Prediction: A Systematic Review [PDF]

International Journal of Molecular Sciences, 2022
The current generation of sequencing technologies has led to significant advances in identifying novel disease-associated mutations and generated large amounts of data in a high-throughput manner. Such data in conjunction with clinical routine data are proven to be highly useful in deriving population-level and patient-level predictions, especially in ...
Najia Ahmadi, Yuan Peng, Markus Wolfien, Michéle Zoch, Martin Sedlmayr   +4 more
openaire   +4 more sources

An Extract-Transform-Load Process Design for the Incremental Loading of German Real-World Data Based on FHIR and OMOP CDM: Algorithm Development and Validation

JMIR Medical Informatics, 2023
BackgroundIn the Medical Informatics in Research and Care in University Medicine (MIRACUM) consortium, an IT-based clinical trial recruitment support system was developed based on the Observational Medical Outcomes Partnership (OMOP) Common Data Model ...
Elisa Henke, Yuan Peng, Ines Reinecke, Michéle Zoch, Martin Sedlmayr, Franziska Bathelt   +5 more
doaj   +2 more sources

A scoping review of OMOP CDM adoption for cancer research using real world data [PDF]

npj Digital Medicine
The Observational Medical Outcomes Partnership (OMOP) common data model (CDM) supports large-scale research by enabling distributed network analyses. However, the breadth of its adoption in cancer research is not well understood.
Liwei Wang, Andrew Wen, Sunyang Fu, Xiaoyang Ruan, Ming Huang, Rui Li, Qiuhao Lu, Heather Lyu, Andrew E. Williams, Hongfang Liu   +9 more
doaj   +2 more sources

dsOMOP: bridging OMOP CDM and DataSHIELD for secure federated analysis of standardized clinical data [PDF]

Bioinformatics
Abstract Motivation Collaborative clinical research projects face several challenges related to data sharing. The disparity between data standards and strict privacy regulations become more relevant as the number of involved institutions increases. To address these challenges, the scientific community
David Sarrat-González, Xavier Escribà-Montagut, Jared Houghtaling, Juan R González   +3 more
openaire   +4 more sources

Common data models and data standards for tabular health data: a systematic review [PDF]

BMC Medical Informatics and Decision Making
Background The use of health data supports knowledge-based decision-making in healthcare. Common Data Models (CDMs) and data standards facilitate the integration of diverse data sources and enable federated analysis by harmonizing data formats and ...
Melissa Finster, Markus Wenzel, Elham Taghizadeh   +2 more
doaj   +2 more sources

KETOS: Clinical decision support and machine learning as a service - A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services. [PDF]

PLoS ONE, 2019
BACKGROUND AND OBJECTIVE:To take full advantage of decision support, machine learning, and patient-level prediction models, it is important that models are not only created, but also deployed in a clinical setting. The KETOS platform demonstrated in this
Julian Gruendner, Thorsten Schwachhofer, Phillip Sippl, Nicolas Wolf, Marcel Erpenbeck, Christian Gulden, Lorenz A Kapsner, Jakob Zierk, Sebastian Mate, Michael Stürzl, Roland Croner, Hans-Ulrich Prokosch, Dennis Toddenroth   +12 more
doaj   +2 more sources