Results 121 to 130 of about 1,444 (142)

Characteristics and Outcomes of Over a Million Patients with Inflammatory Bowel Disease in Seven Countries: Multinational Cohort Study and Open Data Resource. [PDF]

Dig Dis Sci
Yanover C, Magen-Rimon R, Voss EA, Swerdel J, Sheahan A, Hall N, Park J, Park RW, Lee KJ, Shin SJ, Seo SI, Lee KJ, Falconer T, Haas L, Nagy P, Bowring MG, Cook M, Miller S, El-Hay T, Bivas-Benita M, Akiva P, Chowers Y, Weisshof R.   +22 more
europepmc   +1 more source

LOINC implementation approaches in academic medical research centers - results from a survey of CTSA sites. [PDF]

J Clin Transl Sci
Richesson RL, Campion TR, Knosp BM, Hanauer DA.   +3 more
europepmc   +1 more source

Advancing Real-World Evidence Through a Federated Health Data Network (EHDEN): Descriptive Study.

J Med Internet Res
Blacketer C, Schuemie MJ, Moinat M, Voss EA, Camprubi M, Rijnbeek PR, Ryan PB.   +6 more
europepmc   +1 more source

Breaking Digital Health Barriers Through a Large Language Model-Based Tool for Automated Observational Medical Outcomes Partnership Mapping: Development and Validation Study.

J Med Internet Res
Adams MCB, Perkins ML, Hudson C, Madhira V, Akbilgic O, Ma D, Hurley RW, Topaloglu U.   +7 more
europepmc   +1 more source

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Making NLP-derived data actionable within the OHDSI ecosystem

2023
It is widely asserted1 “that about 80% of medical data remains unstructured and untapped after it iscreated”. The OHDSI community has created innovative methodological techniques to partiallycompensate for missing data within real-world data sets. Even with these techniques, obtaining a portionof this missing data would make the OHDSI community’s ...
Gurley, Michael, Zollo-Venecek, Kyle, Williams, Andrew, Smith, Daniel, Miller, Robert, Keloth, Vipina, Xu, Hua   +6 more
openaire   +1 more source

Representing and utilizing clinical textual data for real world studies: An OHDSI approach

Journal of Biomedical Informatics, 2023
Clinical documentation in electronic health records contains crucial narratives and details about patients and their care. Natural language processing (NLP) can unlock the information conveyed in clinical notes and reports, and thus plays a critical role in real-world studies.
Keloth, Vipina K, Banda, Juan M, Gurley, Michael, Heider, Paul M, Kennedy, Georgina, Liu, Hongfang, Liu, Feifan, Miller, Timothy, Natarajan, Karthik, V Patterson, Olga, Peng, Yifan, Raja, Kalpana, Reeves, Ruth M, Rouhizadeh, Masoud, Shi, Jianlin, Wang, Xiaoyan, Wang, Yanshan, Wei, Wei-Qi, Williams, Andrew E, Zhang, Rui, Belenkaya, Rimma, Reich, Christian, Blacketer, Clair, Ryan, Patrick, Hripcsak, George, Elhadad, Noémie, Xu, Hua   +26 more
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Annotating Cohort Data Elements with OHDSI Common Data Model to Promote Research Reproducibility

2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018
Rapid increase in the implementation of electronic health records (EHRs) has led to an unprecedented expansion in the availability of dense longitudinal cohort datasets for clinical studies. However, there is a growing need to ensure data traceability, validity, and reproducibility for EHR-based clinical research.
Yiqing Zhao, Yanshan Wang, Henry Wang, Benjamin Yan, Feichen Shen, Kevin J. Peterson, Walter A. Rocca, Jennifer St. Sauver, Hongfang Liu   +8 more
openaire   +1 more source

OHDSI Presentation on DataSHIELD

A presentation on DataSHIELD at the OHDSI event.
Pauline Andeso, Michael, Ochola
openaire   +1 more source