官方网站—第六部分、Join the Journey

[wanghaisheng]

1、各个工作组

2、Research Network

3、Developer Network

[wanghaisheng]

1、各个工作组

OHDSI has seven Working Groups to cover the range of core activities of the collaboration. A great way to get involved with OHDSI is to find a group you are interested in and let us know at contact@ohdsi.org.

OMOP CDMv5 WG
This group is focused on facilitating the community through the design and roll-out of the next Common Data Model and vocabulary standard. It helped author the draft CDMv5 recommendations that were posted on omop.org, is working through the community feedback that has been coming in during the open comment period, and will be responsible for issuing the final CDMv5 specifications.
Phenotype Library WG
This group is researching and developing strategies for establishing a standardized, evidence-based approach to constructing algorithms to define disease phenotypes that can be used in observational analytics (as cohort criteria, covariates, and outcomes). The group is exploring the entire continuum of possibilities, from the expert-derived consensus-building approach (e.g. eMERGE) to vocabulary-driven approaches to machine learning techniques applied to clinical sources.

Knowledge Base WG
This group is developing an open-source repository of standardized evidence about drug-outcome relationships from disparate sources, including published literature, product labeling, spontaneous adverse event reporting, and existing bio-medical ontologies. The knowledge base will serve as the primary source to enable the construction of test cases (positive controls and negative controls) to facilitate systematic evaluation of method performance.
Population-Level Estimation WG
This group is focused on developing open-source software for safety surveillance and comparative effectiveness, through large-scale implementations of traditional observational study designs, including cohort, case-control, self-controlled case series, and self-controlled cohort. This group is also designing and implementing other orthogonal analyses to support causal inference, informed by Hill’s causal viewpoints as presented as the proof-of-concept tool HOMER at the 2013 OMOP symposium.

Clinical Characterization WG
This group is designing and developing open-source tools for summarizing databases, cohorts, patient populations and treatment patterns, to facilitate greater understanding of source data and to enable standardized reporting for descriptive epidemiology around disease natural history, treatment utilization, and quality of care. OHDSI’s first open-source data characterization tool, ACHILLES, was released in June 2014.

Patient-Level Prediction WG
This group is researching methods to produce personalized risk estimates. Whereas population-level estimation attempts to answer broad questions (‘does warfarin cause bleeding?’ or ‘does warfarin cause bleeding more or less than dabigatran?’), patient-level prediction seeks to answer more personalized questions (‘if I’m initiating warfarin, given everything we know about my medical history and health behaviors, what is the likelihood that I will experience a bleed in the next year?’). The vision is to develop a user interface so that all patients with any disease who are initiating any treatment can get individualized predictions for all the outcomes that could potentially happen to them.
Visualization/Communications WG
This group is focused on evidence dissemination, how OHDSI will use the real-world evidence we generate to provide value and tell compelling stories to support decision-making by all interested stakeholders, including data holders, researchers, funders, and ultimately providers and patients. In essence, this group has a public-relations function, helping guide how OHDSI communicates its work and mission externally, as well as an information visualization component.

[wanghaisheng]

2、Research Network

A cornerstone of OHDSI is facilitating large-scale observational research at sites across the globe. Members of the OHDSI Research Network can submit research requests to partner institutions and collaborate to advance medical science through observational research. Learn more about how you can join the research network and submit distributed research requests by contacting us at contact@ohdsi.org.

[wanghaisheng]

3、Developer Network

We are building a community of open-source developers that are interested in advancing healthcare through the creation of sophisticated, user-friendly analytic tools. Learn more by visiting our repository at www.github.com/OHDSI or contact us at contact@ohdsi.org.