Page History

Page info
title title

...

Introduction 

...

From the beginning, NCI CBIIT has played an instrumental role in supporting the clinical trial process within NCI, with other agencies and groups in NIH and with other collaborating organizations and companies.

...

As a starting point, requirements specific to the clinical trials domain will be collected from the recent Semantic Infrastructure Requirements Elicitation effort, from the NCI CBIIT in-house terminology and metadata curation teams, and from related projects at NCI CBIIT such as the CTRP, caBIG® Clinical Information Suite, caBIG® Clinical Trial Suite, Janus, and other projects. Requirements are also being collected from external stakeholders including government agencies, standard development organizations (SDOs), organizations and companies such as CDISC (especially the SHARE project), and HL7. Community input based on this roadmap document, and the forms and modeling workgroup in the Semantic Infrastructure 2.0 Inception effort, will form another significant source of requirements from the clinical trials domain.

...

Key Use Cases & Requirements

...

This section highlight some key use cases that depend on data semantics. These use-cases are used as a representative set to capture the requirements of the clinical trials domain. A comprehensive set of all clinical trails use-cases can be found at https://cabig-kc.nci.nih.gov/CTMS/KC/index.php/CTMS/CCTS_Interoperability_Scenarios_-_Draft

Structured Eligibility Criteria

When a clinical trial is designed it is done so with a target population in mind. The desired characteristics of the target population are specified during the study design phase and are referred to as the Eligibility criteria for the trial. Eligibility criteria for a trial are specified in terms of inclusion and exclusion criteria. If a potential subject meets all of the inclusion criteria and has none of the exclusion criteria then they are an eligible candidate for enrollment. Examples of inclusion/exclusion criteria used in Eligibility determination follow:

• Hemoglobin ? 8.5 g/dl
• ECOG performance status (PS) 0, 1, or 2

The following is summary of the of the steps:

• PI provides the approved Study Protocol to the Study Registrar.
• Study Registrar selects his study from the list of studies.
• He specifies the inclusion criteria as written in the protocol.
• Observations of the subject are made by a healthcare provider (Life expectancy, Karnofsky score, etc), and statements made by the subject in response to questionnaires, etc. These observations are captured in the provider in a clinical form or a EHR system.
• The study registrar leverages the data semantics to identify eligible subjects
• A PI wants to identify which trials incorporate a test for Alkaline phosphatase
• The PI wants to correlate this information and derive insights based on these insights   

Use Case Decompositions

The following is a more detailed decomposition of the above use-case:

• Create Eligibility Inclusion and Exclusion Criteria
• Query Eligibility Inclusion and Exclusion Criteria
•  

Clinical Decision Support

When a clinical trial is designed it is done so with a target population in mind. The desired characteristics of the target population are specified during the study design phase and are referred to as the Eligibility criteria for the trial.

Eligibility criteria for a trial are specified in terms of inclusion and exclusion criteria. If a potential subject meets all of the inclusion criteria and has none of the exclusion criteria then they are an eligible candidate for enrollment.

Examples of inclusion/exclusion criteria used in Eligibility determination follow:

• Hemoglobin ? 8.5 g/dl
• ECOG performance status (PS) 0, 1, or 2

Structured Eligibility Criteria: Use Case Decompositions