Results 1 to 10 of about 5,676 (132)

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

Migrating longitudinal African mental health data from staging to the OMOP common data model within the INSPIRE network datahub [PDF]

Frontiers in Psychiatry
BackgroundThe standardization and integration of longitudinal mental health data from African cohort studies are critical in advancing research and informing policy.
Tathagata Bhattacharjee, Bylhah Mugotitsa, Bylhah Mugotitsa, Michael Ochola, Reinpeter Momanyi, Pauline Andeso, David Amadi, Dorothy Mailosi, Letisha Najjemba, Jay Greenfield, Kagiso Mabe, Emma Slaymaker, Jim Todd, Jim Todd, Agnes Kiragga, Agnes Kiragga, INSPIRE Network   +16 more
doaj   +2 more sources

Establishing standards: harmonising coding principles for a minimal cancer dataset in the OMOP Common Data Model [PDF]

ESMO Real World Data and Digital Oncology
Background: Analysing clinical information across a network poses challenges due to heterogeneity of data collection, storage and availability. The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) provides a standardised ...
A. Ajmal, O. Bouissou, J. Brash, S. Cheeseman, P.G. Banduge, A.L. Gomes, L. Revie, E. Ross, S. Theophanous, J. Thonnard, A. Van Maanen, A. Vengadeswaran, A. Wolf, X.M. Fernandez   +13 more
doaj   +2 more sources

Density of routinely collected neurology data depends on patient visit type: an investigation using the observational medical outcomes partnership common data model [PDF]

BMJ Neurology Open
Background The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is a standardised framework for organising healthcare data.
Hedley Emsley, Fran Biggin, Jo Knight, Timothy Howcroft, Laura M White, Quinta Ashcroft, Vishnu Vardhan Chandrabalan   +6 more
doaj   +2 more sources

Advancing Toward a Common Data Model in Ophthalmology

Ophthalmology Science, 2023
Purpose: Evaluate the degree of concept coverage of the general eye examination in one widely used electronic health record (EHR) system using the Observational Health Data Sciences and Informatics Observational Medical Outcomes Partnership (OMOP) common
Cindy X. Cai, MD, MS, William Halfpenny, MB, BChir, MEng, Michael V. Boland, MD, PhD, Harold P. Lehmann, MD, PhD, Michelle Hribar, PhD, Kerry E. Goetz, MS, Sally L. Baxter, MD, MSc   +6 more
doaj   +1 more source

Building the observational medical outcomes partnership's T-MSIS Analytic File common data model

Informatics in Medicine Unlocked, 2023
Objectives: This effort used Databricks to create an Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) for Transformed MSIS Analytic File (TAF) Medicaid records.
Nick Williams
doaj   +1 more source

Conversion of CPRD AURUM data into the OMOP common data model

Informatics in Medicine Unlocked, 2023
Introduction: Efforts to standardize clinical data using Common Data Models (CDMS) has grown in recent years. Use of CDMs allows for quicker understanding of data structure and reuse of existing tools.
Craig S. Mayer
doaj   +1 more source

Incorporation of Korean Electronic Data Interchange Vocabulary into Observational Medical Outcomes Partnership Vocabulary [PDF]

Healthcare Informatics Research, 2021
Objectives We incorporated the Korean Electronic Data Interchange (EDI) vocabulary into Observational Medical Outcomes Partnership (OMOP) vocabulary using a semi-automated process.
Yeonchan Seong, Seng Chan You, Anna Ostropolets, Yeunsook Rho, Jimyung Park, Jaehyeong Cho, Dmitry Dymshyts, Christian G. Reich, Yunjung Heo, Rae Woong Park   +9 more
doaj   +1 more source

Feasibility Study of Federated Learning on the Distributed Research Network of OMOP Common Data Model [PDF]

Healthcare Informatics Research, 2023
Objectives Since protecting patients’ privacy is a major concern in clinical research, there has been a growing need for privacy-preserving data analysis platforms.
Geun Hyeong Lee, Jonggul Park, Jihyeong Kim, Yeesuk Kim, Byungjin Choi, Rae Woong Park, Sang Youl Rhee, Soo-Yong Shin   +7 more
doaj   +1 more source

Development of an OpenMRS-OMOP ETL tool to support informatics research and collaboration in LMICs

Computer Methods and Programs in Biomedicine Update, 2023
Background: As more low and middle-income countries (LMICs) implement electronic health record systems (EHRs), informatics has become an important component of global health.
Juan Espinoza, Sab Sikder, Armine Lulejian, Barry Levine   +3 more
doaj   +1 more source