Results 121 to 130 of about 2,261 (201)

Drug mappings

, 2022
Data Record 4 contains mappings of drug names to RxNorm and RxNormExtension-OHDSI ...
Elpida Kontsioti (11019915), Simon Maskell (11019918), Bhaskar Dutta (155862), Sir Munir Pirmohamed (11019912)   +3 more
core   +1 more source

Implementing a Common Data Model in Ophthalmology: Mapping Structured Electronic Health Record Ophthalmic Examination Data to Standard Vocabularies

Ophthalmology Science
Objective: To identify and characterize concept coverage gaps of ophthalmology examination data elements within the Cerner Millennium electronic health record (EHR) implementations by the Observational Health Data Sciences and Informatics Observational ...
Justin C. Quon, MD, Christopher P. Long, MD, William Halfpenny, MBBS, MEng, Amy Chuang, MS, Cindy X. Cai, MD, MS, Sally L. Baxter, MD, MSc, Vamsi Daketi, MS, Amanda Schmitz, BS, Neil Bahroos, MS, Benjamin Y. Xu, MD, PhD, Brian C. Toy, MD   +10 more
doaj   +1 more source

Incidence of mental health diagnoses during the COVID-19 pandemic: a multinational network study

Epidemiology and Psychiatric Sciences
Aims Population-wide restrictions during the COVID-19 pandemic may create barriers to mental health diagnosis. This study aims to examine changes in the number of incident cases and the incidence rates of mental health diagnoses during the COVID-19 ...
Yi Chai, Kenneth K. C. Man, Hao Luo, Carmen Olga Torre, Yun Kwok Wing, Joseph F. Hayes, David P. J. Osborn, Wing Chung Chang, Xiaoyu Lin, Can Yin, Esther W. Chan, Ivan C. H. Lam, Stephen Fortin, David M. Kern, Dong Yun Lee, Rae Woong Park, Jae-Won Jang, Jing Li, Sarah Seager, Wallis C. Y. Lau, Ian C. K. Wong   +20 more
doaj   +1 more source

OHDSI/PhenotypeLibrary: Release v3.32.0

<p>See NEWS.md for release notes.</p ...
Gowtham Rao
core   +1 more source

How to customize common data models for rare diseases: an OMOP-based implementation and lessons learned

Orphanet Journal of Rare Diseases
Background Given the geographical sparsity of Rare Diseases (RDs), assembling a cohort is often a challenging task. Common data models (CDM) can harmonize disparate sources of data that can be the basis of decision support systems and artificial ...
Najia Ahmadi, Michele Zoch, Oya Guengoeze, Carlo Facchinello, Antonia Mondorf, Katharina Stratmann, Khader Musleh, Hans-Peter Erasmus, Jana Tchertov, Richard Gebler, Jannik Schaaf, Lena S. Frischen, Azadeh Nasirian, Jiabin Dai, Elisa Henke, Douglas Tremblay, Andrew Srisuwananukorn, Martin Bornhäuser, Christoph Röllig, Jan-Niklas Eckardt, Jan Moritz Middeke, Markus Wolfien, Martin Sedlmayr   +22 more
doaj   +1 more source

Conversion of Sensitive Data to the Observational Medical Outcomes Partnership Common Data Model: Protocol for the Development and Use of Carrot

JMIR Research Protocols
BackgroundThe use of data standards is low across the health care system, and converting data to a common data model (CDM) is usually required to undertake international research.
Samuel Cox, Erum Masood, Vasiliki Panagi, Calum Macdonald, Gordon Milligan, Scott Horban, Roberto Santos, Chris Hall, Daniel Lea, Simon Tarr, Shahzad Mumtaz, Emeka Akashili, Andy Rae, Esmond Urwin, Christian Cole, Aziz Sheikh, Emily Jefferson, Philip Roy Quinlan   +17 more
doaj   +1 more source

The OMOP common data model in Australian primary care data: Building a quality research ready harmonised dataset.

PLoS ONE
BackgroundThe use of routinely collected health data for secondary research purposes is increasingly recognised as a methodology that advances medical research, improves patient outcomes, and guides policy.
Roger Ward, Christine Mary Hallinan, David Ormiston-Smith, Christine Chidgey, Dougie Boyle   +4 more
doaj   +1 more source

132 Tracking the Opioid Epidemic Through the OHDSI Collaborative [PDF]

Annals of Emergency Medicine, 2017
B.H. Slovis, A.J. Averitt, D.K. Vawdrey, A. Perotte   +3 more
openaire   +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

roux-ohdsi/allofus: allofus 1.1.0

R package to streamline use of the AllofUs researcher ...
Smith, Louisa H, Cavanaugh, Robert
core   +1 more source