Results 61 to 70 of about 83,162 (185)

Real‐World Evidence on Short‐Term Weight Changes Following Methylphenidate Use in Pediatric Population: A Retrospective Study Using Common Data Model

Clinical and Translational Science, Volume 19, Issue 9, September 2026.
ABSTRACT In July 2025, the Food and Drug Administration (FDA) warned of significant weight loss among young children receiving stimulants for attention‐deficit hyperactivity disorder. However, real‐world evidence on the magnitude and prevalence of stimulant‐associated weight loss remains limited.
Haeyoung Lee, Eun‐Gee Park, Hyeon‐Jong Yang, Young‐Gyun Seo, Dong Yoon Kang, Changyoung Kim, Da Woon Sim, Jewon Seo, Sae‐Hoon Kim, Dosang Cho, Kwangsoo Kim, Jinsu Lee, Yeesuk Kim, Kounseok Lee, Hye‐Kyung Park, Hyung Joon Joo, In Young Choi, Tai Joon An, Mi Hyoung Moon, Chaiho Jeong, Sun Im, Sung Woo Ko, Jun Yong Lee, Yeon Woong Chung, Young‐Yul Kim, Seo Jeong Shin, Bonggi Kim, Soo Jung Sohn   +27 more
wiley   +1 more source

How to Improve the Reuse of Clinical Data-- openEHR and OMOP CDM

Journal of Physics: Conference Series, 2020
Abstract All medical big data reuse projects are faced with the challenging problem of collecting and transforming heterogeneous data from different sources in a distributed research network. Both openEHR and OMOP CDM are open source tools for medical data.
Bei Li, Rich Tsui
openaire   +1 more source

Glucagon‐Like Peptide‐1 Receptor Agonists and Risk of Mental Health Disorders in Type 2 Diabetes: Active Comparator, New User Cohort Study

Diabetes, Obesity and Metabolism, Volume 28, Issue 9, Page 8482-8493, September 2026.
ABSTRACT Aims We evaluated the risk of mental health disorders among glucagon‐like peptide‐1 receptor agonist (GLP1RA) users compared with users of dipeptidyl peptidase‐4 (DPP‐4) inhibitors and sodium‐glucose cotransporter‐2 (SGLT2) inhibitors. Materials and Methods We conducted a nationwide, active‐comparator new‐user cohort study using the Korean ...
Chungsoo Kim, Seonji Kim, Dong Yun Lee, Eugene Han, Yong‐ho Lee, Seng Chan You   +5 more
wiley   +1 more source

Development and Release of the Munich UICC Staging Tool (MUST): Advancing UICC Staging in Real‐World Data With Insights From Pancreatic and Stomach Cancer

International Journal of Cancer, Volume 159, Issue 3, Page 757-767, 1 August 2026.
Accurate cancer staging is essential for cancer research and treatment evaluation. However, real‐world data often include incomplete or inconsistent UICC staging classifications. The presented Munich UICC Staging Tool (MUST) automates UICC stage derivation from TNM classifications and tumor characteristics, incorporating novel real‐world data rules to ...
Brigitte Kühnel, Sophie Schneiderbauer, Sebastian Lange, Dirk Wilhelm, Helmut Friess, Marcus Feith, Ursula Ehmer, Florian Bassermann, Julian W. Holch, Stefan M. Munker, Jens Neumann, Jens Werner, Hubert J. Stein, Theres Fey, Ulrich Mansmann, Hana Algül, Karin Berger‐Thürmel, H. Carlo Maurer, Daniel Nasseh   +18 more
wiley   +1 more source

Conceptual Design of a Generic Data Harmonization Process for OMOP CDM

, 2023
To gain insight into the real-life care of patients in the healthcare system, data from hospital information systems and insurance systems are required. Consequently, linking clinical data with claims data is necessary. To ensure their syntactic and semantic interoperability, the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM)
Elisa Henke, Michele Zoch, Yuan Peng, Ines Reinecke, Martin Sedlmayr, Franziska Bathelt   +5 more
openaire   +1 more source

Active Safety Surveillance Using Real‐World Evidence (ASSURE) Implementation: Transparent and Reproducible Real‐World Evidence Standardized Framework to Support Safety Signal Evaluation

Pharmacoepidemiology and Drug Safety, Volume 35, Issue 8, August 2026.
ABSTRACT Purpose To summarize experience with Johnson & Johnson's novel Active Safety Surveillance Using Real‐world Evidence (ASSURE) program for producing efficient, transparent, applicable, and impactful RWE to support routine pharmacovigilance processes.
Kevin Haynes, Jenna Reps, Jill Hardin, Eva‐Maria Didden, James Gilbert, Joel Swerdel, Justin Bohn, Mitchell M. Conover, Amir Sarayani, Anthony G. Sena, Emily Yost, Valerie van Baalen, Kourtney Davis, Patrick Ryan, Martijn Schuemie   +14 more
wiley   +1 more source

Transforming unstructured breast cancer pathology reports into the Observational Medical Outcomes Partnership Common Data Model

BMC Medical Informatics and Decision Making
Background Although breast cancer pathology reports provide important clinical research data, for they are written as free text, previous studies extracted data from pathology reports through natural language processing (NLP). This study aimed to present
Borham Kim, Wongeun Song, Eunsil Yoon, Seok Kim, Ho-Young Lee, Jee Hyun Kim, Koung Jin Suh, Kwang-Il Kim, So Yeon Park, Eun-Kyu Kim, Se Hyun Kim, Seonghae Yoon, Sooyoung Yoo   +12 more
doaj   +1 more source

Analysis of Retinal Thickness in Patients With Chronic Diseases Using Standardized Optical Coherence Tomography Data: Database Study Based on the Radiology Common Data Model

JMIR Medical Informatics
BackgroundThe Observational Medical Outcome Partners-Common Data Model (OMOP-CDM) is an international standard for harmonizing electronic medical record (EMR) data.
ChulHyoung Park, So Hee Lee, Da Yun Lee, Seoyoon Choi, Seng Chan You, Ja Young Jeon, Sang Jun Park, Rae Woong Park   +7 more
doaj   +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

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