Tutorial Workshops

There will be (6) tutorial workshops offered this year at the 2018 OHDSI Symposium in Bethesda, MD; (2) workshops are introductory and (4) are advanced.

Please note that Symposium Registration and Tutorial Workshop Registration are separate. You are not registered for the symposium if you only register for a tutorial and you are not registered for a tutorial if you have only registered for the symposium. Tutorial registration will open in late June so please revisit the website in order to register.

The (2) introductory tutorial workshops will take place on Thursday, October 11th. There are no prerequisites for the introductory courses; attendance will be on a first-come, first-serve basis. Faculty will be announced shortly.

The (2) introductory workshops are:

1) OMOP Common Data Model and Standardized  Vocabularies

This workshop is for data holders who want to apply OHDSI’s data standards to their own observational datasets and researchers who want to be aware of OHDSI’s data standards, so they can leverage data in OMOP CDM format for their own research purposes.

2) An Overview of the OHDSI Tool Stack

This tutorial will discuss the tool ecosystem of OHDSI with a focus on the impressive functionality in ATLAS, such as vocabulary browsing, cohort definitions, risk effect estimations, patient-level prediction, and more. This workshop is for data holders, researchers, and regulators who want to learn more about the exciting tools developed by the OHDSI community. It is a high-level overview of various topics, doing 30-minutes sessions covering principles and ATLAS implementation for: vocabulary, ACHILLES data characterization, cohort definition, cohort characterization, incidence rate summary, population-level estimation, and patient-level prediction.

 

The (4) advanced tutorial workshops will take place on Saturday, October 13th. The workshop prerequisites are listed below under each course. There will be fees charged to guarantee a seat at these advanced courses and there will also be a no fee, waitlist option. Faculty will be announced shortly.

The (4) advanced workshops are:

1)Patient-Level Prediction  

This workshop is for researchers who want to design prediction studies for precision medicine and disease interception using the OHDSI tools and programmers who want to implement and execute prediction studies using the OHDSI methods library.

Course prerequisites: knowledge of OMOP CDM and Vocabularies and either 1) epidemiologic knowledge understanding of how to define cohorts or 2) R programming skills.

Participants are encouraged to watch these tutorials from past years in preparation for the tutorial:

CDM tutorial: https://www.ohdsi.org/past-events/2017-tutorials-omop-common-data-model-and-standardized-vocabularies/

Cohort definition: https://www.ohdsi.org/ohdsi-cohort-definition-and-phenotyping-tutorial-recording/

 

2) Population-level Effect Estimation

This workshop is for researchers who want to design estimation studies for safety surveillance and comparative effectiveness using the OHDSI tools and programmers who want to implement and execute estimation studies using the OHDSI methods library.

Course prerequisites: knowledge of OMOP CDM and Vocabularies and either 1) epidemiologic knowledge understanding of how to define cohorts or 2) R programming skills.

Participants are encouraged to watch these tutorials from past years in preparation for the tutorial:

CDM tutorial: https://www.ohdsi.org/past-events/2017-tutorials-omop-common-data-model-and-standardized-vocabularies/

Cohort definition: https://www.ohdsi.org/ohdsi-cohort-definition-and-phenotyping-tutorial-recording/

 

3) Data Quality   

A presentation of pedagogical material to frame the interpretation and guide the methods of assessing and reporting on DQ

a.  The harmonized data quality framework proposed by Kahn et al for warehouse-level.

b.  The consensus recommendations for reporting on data quality for analytic datasets derived from data warehouses.

Course prerequisites to follow shortly

 

4) Cohort Definition/Phenotyping

This workshop is to develop better approaches for designing and implementing phenotypes, both rule-based heuristics and increasing the use of probabilistic phenotypes. The learning objectives and technical competencies are: • Learn principles for cohort definition and evaluation • Develop rule-based heuristics in ATLAS • Apply cohort definitions to analytical use cases of: disease phenotyping, exposure definition, and clinical trial feasibility • Design predictive model-based phenotype evaluation using APHRODITE.

Course prerequisites: knowledge about CDM and vocabulary AND need to know the contents of the patient-level data you are working with. This course is very important and foundational to our ability to conduct all the types of analyses, including clinical characterization, population-level prediction, and patient-level prediction.

Participants are encouraged to watch this tutorial from past years in preparation for the tutorial:

CDM tutorial: https://www.ohdsi.org/past-events/2017-tutorials-omop-common-data-model-and-standardized-vocabularies/