Results 11 to 20 of about 1,444 (142)

Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data [PDF]

Genomics & Informatics, 2019
The usage of controlled biomedical vocabularies is the cornerstone that enables seamless interoperability when using a common data model across multiple data sites.
Juan M. Banda
doaj   +4 more sources

Implementation of inclusion and exclusion criteria in clinical studies in OHDSI ATLAS software

Scientific Reports, 2023
Clinical trials are essential parts of a medical study process, but studies are often cancelled due to a lack of participants. Clinical Trial Recruitment Support Systems are systems that help to increase the number of participants by seeking more ...
Romina Blasini, Kornelia Marta Buchowicz, Henning Schneider, Birgit Samans, Keywan Sohrabi   +4 more
doaj   +4 more sources

Preliminary exploration of survival analysis using the OHDSI common data model: a case study of intrahepatic cholangiocarcinoma [PDF]

BMC Medical Informatics and Decision Making, 2018
Background Data heterogeneity is a common phenomenon related to the secondary use of electronic health records (EHR) data from different sources. The Observational Health Data Sciences and Informatics (OHDSI) Common Data Model (CDM) organizes healthcare ...
Na Hong, Ning Zhang, Huawei Wu, Shanshan Lu, Yue Yu, Li Hou, Yinying Lu, Hongfang Liu, Guoqian Jiang   +8 more
doaj   +3 more sources

Extending an open-source tool to measure data quality: case report on Observational Health Data Science and Informatics (OHDSI) [PDF]

BMJ Health & Care Informatics, 2020
Introduction As the health system seeks to leverage large-scale data to inform population outcomes, the informatics community is developing tools for analysing these data. To support data quality assessment within such a tool, we extended the open-source
Brian E Dixon, Chen Wen, Tony French, Jennifer L Williams, Jon D Duke, Shaun J Grannis   +5 more
doaj   +3 more sources

Enabling data sharing and utilization for African population health data using OHDSI tools with an OMOP-common data model

Frontiers in Public Health, 2023
The COVID-19 pandemic has spurred the use of AI and DS innovations in data collection and aggregation. Extensive data on many aspects of the COVID-19 has been collected and used to optimize public health response to the pandemic and to manage the ...
Sylvia Kiwuwa-Muyingo, Jim Todd, Tathagata Bhattacharjee, Amelia Taylor, Jay Greenfield   +4 more
doaj   +4 more sources

INSPIRE datahub: a pan-African integrated suite of services for harmonising longitudinal population health data using OHDSI tools

Frontiers in Digital Health
IntroductionPopulation health data integration remains a critical challenge in low- and middle-income countries (LMIC), hindering the generation of actionable insights to inform policy and decision-making.
Tathagata Bhattacharjee, Sylvia Kiwuwa-Muyingo, Chifundo Kanjala, Chifundo Kanjala, Molulaqhooa L. Maoyi, David Amadi, Michael Ochola, Damazo Kadengye, Damazo Kadengye, Arofan Gregory, Agnes Kiragga, Amelia Taylor, Jay Greenfield, Emma Slaymaker, Jim Todd, INSPIRE Network   +15 more
doaj   +3 more sources

Reductions in Blood Lead Level Screening During Peak COVID‐19 Restrictions and Beyond

Public Health Challenges
Background and Objectives Among the multitude of health effects on children associated with the COVID‐19 pandemic, there have been significant interruptions in the provision of routine pediatric primary care, including blood lead level (BLL) screening ...
Meghan L. McCarthy, Jonah Bradenday, Elizabeth Chen, Mark R. Zonfrillo, Indra Neil Sarkar   +4 more
doaj   +2 more sources

Drawing Reproducible Conclusions from Observational Clinical Data with OHDSI [PDF]

Yearbook of Medical Informatics, 2021
Objective: The current observational research literature shows extensive publication bias and contradiction. The Observational Health Data Sciences and Informatics (OHDSI) initiative seeks to improve research reproducibility through open science.Methods: OHDSI has created an international federated data source of electronic health records and ...
Hripcsak, George, Schuemie, Martijn, Madigan, David, Ryan, Patrick, Suchard, Marc   +4 more
openaire   +4 more sources

Streamlining electronic medical record data extraction and validation in digital hospitals: A systematic review to identify optimal approaches and methods. [PDF]

Learn Health Syst
Abstract Objective Extracting and curating data from large clinical information systems is challenging, and the optimal methodology is often unclear. This review was to systematically investigate and appraise the research literature to assess existing methods used by healthcare organizations to extract data from the electronic medical record (EMR). The
Lim HC, Wong H, Philip R, Van Der Vegt A, Choo KR, Pole JD, Sullivan C.   +6 more
europepmc   +2 more sources

The Usage of OHDSI OMOP – A Scoping Review [PDF]

, 2021
OHDSI, a fast growing open-science research community seeks to enable researchers from around the globe to conduct network studies based on standardized data and vocabularies. There is no comprehensive review of publications about OHDSI’s standard: the OMOP Common Data Model and its usage available.
Ines, Reinecke, Michéle, Zoch, Christian, Reich, Martin, Sedlmayr, Franziska, Bathelt   +4 more
openaire   +2 more sources