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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.

Company Details

Employees
72
Founded
-
Address
622 West 168th Street, Ph-20, New York,ny 10032,united States
Industry
Research Services
NAICS
Scientific Research and Development Services
Research and Development in the Physical, Engineering, and Life Sciences
Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
Website
ohdsi.org
HQ
New York, NY
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Integrating Local Vocabulary into OMOP CDM: A Step-by-Step Tutorial - medRxiv

Integrating Local Vocabulary into OMOP CDM: A Step-by-Step Tutorial medRxiv

A scoping review of OMOP CDM adoption for cancer research using real world data - Nature

A scoping review of OMOP CDM adoption for cancer research using real world data Nature

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

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

Conceptual design of a generic data harmonization process for OMOP common data model - BMC Medical Informatics and Decision Making

Conceptual design of a generic data harmonization process for OMOP common data model BMC Medical Informatics and Decision Making

Representing and utilizing clinical textual data for real world studies: An OHDSI approach - ScienceDirect.com

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

Predict patient health outcomes using OHDSI and machine learning on AWS - Amazon Web Services

Predict patient health outcomes using OHDSI and machine learning on AWS Amazon Web Services

OHDSI-compliance: a set of document templates facilitating the implementation and operation of a software stack for real-world evidence generation - Frontiers

OHDSI-compliance: a set of document templates facilitating the implementation and operation of a software stack for real-world evidence generation Frontiers

A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data - Nature

A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data Nature

A Novel Sentence Transformer-based Natural Language Processing Approach for Schema Mapping of Electronic Health Records to the OMOP Common Data Model - medRxiv

A Novel Sentence Transformer-based Natural Language Processing Approach for Schema Mapping of Electronic Health Records to the OMOP Common Data Model medRxiv

HemOnc: A new standard vocabulary for chemotherapy regimen representation in the OMOP common data model - ScienceDirect.com

HemOnc: A new standard vocabulary for chemotherapy regimen representation in the OMOP common data model ScienceDirect.com

Preliminary exploration of survival analysis using the OHDSI common data model: a case study of intrahepatic cholangiocarcinoma - BMC Medical Informatics and Decision Making

Preliminary exploration of survival analysis using the OHDSI common data model: a case study of intrahepatic cholangiocarcinoma BMC Medical Informatics and Decision Making

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

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

ADEpedia-on-OHDSI: A next generation pharmacovigilance signal detection platform using the OHDSI common data model - ScienceDirect.com

ADEpedia-on-OHDSI: A next generation pharmacovigilance signal detection platform using the OHDSI common data model ScienceDirect.com

Adoption of the OMOP CDM for Cancer Research using Real-world Data: Current Status and Opportunities - medRxiv

Adoption of the OMOP CDM for Cancer Research using Real-world Data: Current Status and Opportunities medRxiv

Ontologizing health systems data at scale: making translational discovery a reality | npj Digital Medicine - Nature

Ontologizing health systems data at scale: making translational discovery a reality | npj Digital Medicine Nature

Kineret - The largest Israeli chain of hospitals’ data available now in OMOP common data model format enabling broad collaborative research - medRxiv

Kineret - The largest Israeli chain of hospitals’ data available now in OMOP common data model format enabling broad collaborative research medRxiv

Convert-Pheno: A software toolkit for the interconversion of standard data models for phenotypic data - ScienceDirect.com

Convert-Pheno: A software toolkit for the interconversion of standard data models for phenotypic data ScienceDirect.com

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

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

allofus: An R package to facilitate use of the All of Us Researcher Workbench - medRxiv

allofus: An R package to facilitate use of the All of Us Researcher Workbench medRxiv

Streamlining intersectoral provision of real-world health data: a service platform for improved clinical research and patient care - Frontiers

Streamlining intersectoral provision of real-world health data: a service platform for improved clinical research and patient care Frontiers

Mapping Hungarian procedure codes to SNOMED CT - BMC Medical Research Methodology

Mapping Hungarian procedure codes to SNOMED CT BMC Medical Research Methodology

Standardizing registry data to the OMOP Common Data Model: experience from three pulmonary hypertension databases - BMC Medical Research Methodology

Standardizing registry data to the OMOP Common Data Model: experience from three pulmonary hypertension databases BMC Medical Research Methodology

Data Scientists Launch Program to Generate Real-World Evidence on COVID-19 Treatments - Columbia University Irving Medical Center

Data Scientists Launch Program to Generate Real-World Evidence on COVID-19 Treatments Columbia University Irving Medical Center

Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study - Nature

Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study Nature

Corrigendum: Vaccine safety surveillance using routinely collected healthcare data—An empirical evaluation of epidemiological designs - Frontiers

Corrigendum: Vaccine safety surveillance using routinely collected healthcare data—An empirical evaluation of epidemiological designs Frontiers

Transforming electronic health record polysomnographic data into the Observational Medical Outcome Partnership's Common Data Model: a pilot feasibility study - Nature

Transforming electronic health record polysomnographic data into the Observational Medical Outcome Partnership's Common Data Model: a pilot feasibility study Nature

Risk of Switch to Mania/Hypomania in Bipolar Depressive Patients Treated with Antidepressants: A Real-World Study - Science Partner Journals

Risk of Switch to Mania/Hypomania in Bipolar Depressive Patients Treated with Antidepressants: A Real-World Study Science Partner Journals

FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model - ScienceDirect.com

FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model ScienceDirect.com

International cohort study indicates no association between alpha-1 blockers and susceptibility to COVID-19 in benign prostatic hyperplasia patients - Frontiers

International cohort study indicates no association between alpha-1 blockers and susceptibility to COVID-19 in benign prostatic hyperplasia patients Frontiers

TreatmentPatterns: An R package to facilitate the standardized development and analysis of treatment patterns across disease domains - ScienceDirect.com

TreatmentPatterns: An R package to facilitate the standardized development and analysis of treatment patterns across disease domains ScienceDirect.com

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

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

Converting clinical document architecture documents to the common data model for incorporating health information exchange data in observational health studies: CDA to CDM - ScienceDirect.com

Converting clinical document architecture documents to the common data model for incorporating health information exchange data in observational health studies: CDA to CDM ScienceDirect.com

Comparative First-Line Effectiveness and Safety of ACE (Angiotensin-Converting Enzyme) Inhibitors and Angiotensin Receptor Blockers: A Multinational Cohort Study - American Heart Association Journals

Comparative First-Line Effectiveness and Safety of ACE (Angiotensin-Converting Enzyme) Inhibitors and Angiotensin Receptor Blockers: A Multinational Cohort Study American Heart Association Journals

Advancing the use of real world evidence in health technology assessment: insights from a multi-stakeholder workshop - Frontiers

Advancing the use of real world evidence in health technology assessment: insights from a multi-stakeholder workshop Frontiers

Accuracy of an automated knowledge base for identifying drug adverse reactions - ScienceDirect.com

Accuracy of an automated knowledge base for identifying drug adverse reactions ScienceDirect.com

Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study - The BMJ

Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study The BMJ

Comprehensive Comparative Effectiveness and Safety of First-Line β-Blocker Monotherapy in Hypertensive Patients: - American Heart Association Journals

Comprehensive Comparative Effectiveness and Safety of First-Line β-Blocker Monotherapy in Hypertensive Patients: American Heart Association Journals

Building an OMOP common data model-compliant annotated corpus for COVID-19 clinical trials - ScienceDirect.com

Building an OMOP common data model-compliant annotated corpus for COVID-19 clinical trials ScienceDirect.com

Non-steroidal anti-inflammatory agent use may not be associated with mortality of coronavirus disease 19 - Nature

Non-steroidal anti-inflammatory agent use may not be associated with mortality of coronavirus disease 19 Nature

NSAID use and clinical outcomes in COVID-19 patients: a 38-center retrospective cohort study - Virology Journal

NSAID use and clinical outcomes in COVID-19 patients: a 38-center retrospective cohort study Virology Journal

Characteristics and outcomes of patients with COVID-19 with and without prevalent hypertension: a multinational cohort study - BMJ Open

Characteristics and outcomes of patients with COVID-19 with and without prevalent hypertension: a multinational cohort study BMJ Open

A curated and standardized adverse drug event resource to accelerate drug safety research - Nature

A curated and standardized adverse drug event resource to accelerate drug safety research Nature

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