Defining international approaches for the detection of emergent metastasis and the classification of location of metastasis from hospital EHR #OHDSISocialShowcase #JoinTheJourney Lead: Stelios Theophanous Team: Sue Cheeseman, Elin Hallan Naderi, Elisabeth Ross, Anne-Lore Bynens, Prabash Galgane Bandage, Petros Kalendralis, Aiara Lobo Gomes, Piers Mahon https://loom.ly/ZN_B5Kc
OHDSI (Observational Health Data Sciences & Informatics)
Research Services
New York, NY 7,325 followers
#JoinTheJourney
About us
The Observational Health Data Sciences and Informatics (or OHDSI, pronounced "Odyssey") program is a multi-stakeholder, interdisciplinary collaborative to bring out the value of health data through large-scale analytics. All our solutions are open-source. OHDSI has established an international network of researchers and observational health databases with a central coordinating center housed at Columbia University. Our Mission To improve health by empowering a community to collaboratively generate the evidence that promotes better health decisions and better care. Our Vision A world in which observational research produces a comprehensive understanding of health and disease. Our Objectives Innovation: Observational research is a field that will benefit greatly from disruptive thinking. We actively seek and encourage fresh methodological approaches in our work. Reproducibility: Accurate, reproducible, and well-calibrated evidence is necessary for health improvement. Community: Everyone is welcome to actively participate in OHDSI, whether you are a patient, a health professional, a researcher, or someone who simply believes in our cause. Collaboration: We work collectively to prioritize and address the real-world needs of our community’s participants. Openness: We strive to make all our community’s proceeds open and publicly accessible, including the methods, tools and the evidence that we generate. Beneficence: We seek to protect the rights of individuals and organizations within our community at all times.
- Website
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http://www.ohdsi.org/
External link for OHDSI (Observational Health Data Sciences & Informatics)
- Industry
- Research Services
- Company size
- 51-200 employees
- Headquarters
- New York, NY
- Type
- Nonprofit
- Founded
- 2014
- Specialties
- Collaborative Research, Software Development, Data Network, Observational Research, Health Data, Open Science, and Real World Evidence
Locations
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Primary
622 West 168th Street, PH-20
New York, NY 10032, US
Employees at OHDSI (Observational Health Data Sciences & Informatics)
Updates
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Incorporating Temporal Information from EHR Data in Clinical Prediction Modelling #OHDSISocialShowcase #JoinTheJourney Lead: Estelle Lampel-Brabants Team: Aniek Markus, Tom Seinen https://loom.ly/2yjIwjU
Incorporating Temporal Information from EHR Data in Clinical Prediction Modelling
ohdsi-europe.org
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Automated OMOP-CDM pipeline for the new EBMT Registry #OHDSISocialShowcase #JoinTheJourney Lead: Shirah Cashriel Team: Nir Assaraf, Ignacio García Sánchez-Migallón, Fernando Cid Samper, PhD, Freija Descamps https://loom.ly/_S6-qEg
Automated OMOP-CDM pipeline for the new EBMT Registry
ohdsi-europe.org
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Conversion of the Papageorgiou General Hospital EHR to the OMOP Common Data Model #OHDSISocialShowcase Lead: Papapostolou Grigoris Team: Chytas Achilleas, Rekkas Alexandros, Bigaki Maria, Zeimpekis Demetrios, Dermentzoglou Lampros, Tortopidis George, Pantelis Natsiavas #JoinTheJourney https://loom.ly/XcgrfvY
Conversion of the Papageorgiou General Hospital EHR to the OMOP Common Data Model
ohdsi-europe.org
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Please join us Tuesday, July 23 (11 am ET), for our second session around Building the OHDSI Evidence Network. Clair Blacketer, MPH and Paul Nagy will lead this meeting, which will include a technical description of what it takes to join the Evidence Network, a live demo, suggestions to support the IRB process, and plenty more. Link to join live is on our community calls page ⬇️ #JoinTheJourney https://lnkd.in/eMg4DKbe
July 23: Building the OHDSI Evidence Network Sprint, Session II
https://ohdsi.org
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External Validation of the Revised Cardiac Risk Index (RCRI) Clinical Prediction Model in Observational Health Care Databases #OHDSISocialShowcase Lead: Alexander Saelmans Team: Evan Minty, Peter Rijnbeek, Jenna Reps, Ross Williams #JoinTheJourney https://loom.ly/Oc6tZwA
External Validation of the Revised Cardiac Risk Index (RCRI) Clinical Prediction Model in Observational Health Care Databases
ohdsi-europe.org
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Empowering research with seamless data flow and research-ready, anonymised data in OMOP CDM: Learnings from the design of WAYFIND-R, a global precision oncology registry and research platform #OHDSISocialShowcase Lead: Tom Stone Team: Yuri P., Ana Ferro, Dimitar Toshev #JoinTheJourney https://loom.ly/Z7D20Bo
Empowering research with seamless data flow and research-ready, anonymised data in OMOP CDM: Learnings from the design of WAYFIND-R, a globa
ohdsi-europe.org
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The #HowOften initiative is a large-scale characterization of incidence of outcomes following drug exposure. Learn more about this project, ongoing studies following the #OHDSI2023 workshop, and exciting potential paths ahead ⬇️ #JoinTheJourney Elise Ruan Azza Shoaibi https://lnkd.in/e6RJPR2X
HowOften Initiative: Findings, Current Projects & Next Steps (Chen, Shoaibi, Ruan, Hripcsak)
https://www.youtube.com/
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The association between comorbid depression and insulin initiation in type 2 diabetes A cohort OHDSI study #OHDSISocialShowcase Lead: Christianus Heru Setiawan Team: Daniel C.A. Nugroho, Phan Thanh Phuc, Septi Melisa, Muhammad Solihuddin Muhtar, Nguyen Phung Anh, Jason Hsu, Ph.D. #JoinTheJourney https://loom.ly/_78nIDM
The association between comorbid depression and insulin initiation in type 2 diabetes A cohort OHDSI stud
ohdsi-europe.org
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Congratulations Aniek Markus!
Congratulations to PhD Student Aniek Markus with more than 500 citations of her position paper “The Role of Explainable AI in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies”. Really exceptional that a paper is cited this often even more so during a PhD track. Something to be proud of Aniek Markus! Thanks Innovative Health Initiative (IHI) for funding this work via IMI_EHDEN WP3 Personalized Medicine. OHDSI (Observational Health Data Sciences & Informatics), Erasmus MC https://lnkd.in/emNCZFNn