Results 41 to 50 of about 1,576 (169)

Multi-Center Healthcare Data Quality Measurement Model and Assessment Using OMOP CDM [PDF]

Applied Sciences, 2021
Healthcare data has economic value and is evaluated as such. Therefore, it attracted global attention from observational and clinical studies alike. Recently, the importance of data quality research emerged in healthcare data research. Various studies are being conducted on this topic.
Ki-Hoon Kim, Wona Choi, Soo-Jeong Ko, Dong-Jin Chang, Yeon-Woog Chung, Se-Hyun Chang, Jae-Kwon Kim, Dai-Jin Kim, In-Young Choi   +8 more
openaire   +2 more sources

Characterizing the Anticancer Treatment Trajectory and Pattern in Patients Receiving Chemotherapy for Cancer Using Harmonized Observational Databases: Retrospective Study

JMIR Medical Informatics, 2021
BackgroundAccurate and rapid clinical decisions based on real-world evidence are essential for patients with cancer. However, the complexity of chemotherapy regimens for cancer impedes retrospective research that uses observational health databases.
Jeon, Hokyun, You, Seng Chan, Kang, Seok Yun, Seo, Seung In, Warner, Jeremy L, Belenkaya, Rimma, Park, Rae Woong   +6 more
doaj   +1 more source

Extract, transform, load framework for the conversion of health databases to OMOP.

PLoS ONE, 2022
Common data models standardize the structures and semantics of health datasets, enabling reproducibility and large-scale studies that leverage the data from multiple locations and settings. The Observational Medical Outcomes Partnership Common Data Model
Juan C Quiroz, Tim Chard, Zhisheng Sa, Angus Ritchie, Louisa Jorm, Blanca Gallego   +5 more
doaj   +2 more sources

Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale

BMC Medical Informatics and Decision Making, 2022
Background Since the outbreak of COVID-19 pandemic in Rwanda, a vast amount of SARS-COV-2/COVID-19-related data have been collected including COVID-19 testing and hospital routine care data.
Aurore Nishimwe, Charles Ruranga, Clarisse Musanabaganwa, Regine Mugeni, Muhammed Semakula, Joseph Nzabanita, Ignace Kabano, Annie Uwimana, Jean N. Utumatwishima, Jean Damascene Kabakambira, Annette Uwineza, Lars Halvorsen, Freija Descamps, Jared Houghtaling, Benjamin Burke, Odile Bahati, Clement Bizimana, Stefan Jansen, Celestin Twizere, Kizito Nkurikiyeyezu, Francine Birungi, Sabin Nsanzimana, Marc Twagirumukiza   +22 more
doaj   +1 more source

Harmonizing population health data into OMOP common data model: a demonstration using COVID-19 sero-surveillance data from Nairobi Urban Health and Demographic Surveillance System

Frontiers in Digital Health
BackgroundObservational health data are collected in different formats and structures, making it challenging to analyze with common tools. The Observational Medical Outcome Partnership (OMOP) Common Data Model (CDM) is a standardized data model that can ...
Michael Ochola, Sylvia Kiwuwa-Muyingo, Tathagata Bhattacharjee, David Amadi, Maureen Ng’etich, Damazo Kadengye, Henry Owoko, Boniface Igumba, Jay Greenfield, Jim Todd, Agnes Kiragga, Agnes Kiragga   +11 more
doaj   +1 more source

Implementation of a common data model in Health Data Research Network Canada: Lessons learned

International Journal of Population Data Science
Background The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is a standardized structure for observational data that enables collaborative health research.
Lisa Lix, Georgina Archbold, HDRN Canada CDM Working Group, Mahmoud Azimzee   +3 more
doaj   +1 more source

Transforming Primary Care Data Into the Observational Medical Outcomes Partnership Common Data Model: Development and Usability Study

JMIR Medical Informatics
BackgroundPatient-monitoring software generates a large amount of data that can be reused for clinical audits and scientific research. The Observational Health Data Sciences and Informatics (OHDSI) consortium developed the Observational Medical Outcomes ...
Mathilde Fruchart, Paul Quindroit, Chloé Jacquemont, Jean-Baptiste Beuscart, Matthieu Calafiore, Antoine Lamer   +5 more
doaj   +1 more source

Methodological Issues in Using a Common Data Model of COVID-19 Vaccine Uptake and Important Adverse Events of Interest: Feasibility Study of Data and Connectivity COVID-19 Vaccines Pharmacovigilance in the United Kingdom

JMIR Formative Research, 2022
BackgroundThe Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) UK-wide collaboration was created to monitor vaccine uptake and effectiveness and provide pharmacovigilance using routine clinical and ...
Gayathri Delanerolle, Robert Williams, Ana Stipancic, Rachel Byford, Anna Forbes, Ruby S M Tsang, Sneha N Anand, Declan Bradley, Siobhán Murphy, Ashley Akbari, Stuart Bedston, Ronan A Lyons, Rhiannon Owen, Fatemeh Torabi, Jillian Beggs, Antony Chuter, Dominique Balharry, Mark Joy, Aziz Sheikh, F D Richard Hobbs, Simon de Lusignan   +20 more
doaj   +1 more source

Generating synthetic data from OMOP-CDM databases for health applications

, 2023
With the increasing need for high-quality, large-scale health data for research and analysis, synthetic data has emerged as a promising alternative to real-world data. Here we present an approach for generating synthetic health data from an OMOP-CDM.
Labarga, Alberto, Aguiló-Castillo, Sergi, Capella-Gutierrez, Salvador   +2 more
openaire   +1 more source

Transformation of Pathology Reports Into the Common Data Model With Oncology Module: Use Case for Colon Cancer

Journal of Medical Internet Research, 2020
BackgroundCommon data models (CDMs) help standardize electronic health record data and facilitate outcome analysis for observational and longitudinal research.
Ryu, Borim, Yoon, Eunsil, Kim, Seok, Lee, Sejoon, Baek, Hyunyoung, Yi, Soyoung, Na, Hee Young, Kim, Ji-Won, Baek, Rong-Min, Hwang, Hee, Yoo, Sooyoung   +10 more
doaj   +1 more source