Method for optimizing clinical data standardization
A method of integrating clinical trial data into a form required by a standards based data format. Annotations may be made to a case report form (CRF) designed for a clinical trial that map report form data to standards compliant data. The annotations may be stored in, and then applied to data captured using that particular case report form to produce standards compliant data for that particular clinical trial. The data sets produced may then be validated as being standards compliant.
1. A method of integrating clinical trial data into a form required by a standard, said method comprising:
providing a case report form designed to capture specific data needed to test the efficacy of a new agent in a clinical trial;
capturing the specific data, wherein the specific data that has been captured is stored in a trial data store and at least a portion of the stored specific data is in a non-compliant format that includes at least one data variable element that varies in at least one of a format, syntax, and semantics;
analyzing, by a data mapping processor, the specific data stored that is in the non-compliant format in the trial data store to capture transformation rules capable of converting the at least one variable data element into at least one standards compliant data element that does not vary in format, syntax, and semantics;
converting, by the data mapping processor, the specific data that is in the non-compliant format into a standards compliant format, wherein said converting applies said transformation rules that transform the at least one variable data element into the at least one standard data element;
validating said standards complaint data to generate validated submission data; and
storing said validated submission data in a submission data store.
2. The method of claim 1 wherein said specific data further comprises metadata.
3. The method of claim 2 wherein said standards compliant data and metadata comprises an XML data format.
4. The method of claim 2 wherein said standards compliant data and metadata comprises a Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM).
5. The method of claim 1 wherein said validated submission data is suitable for submission to a regulatory agency.
6. The method of claim 5 wherein said regulatory agency is the US Food and Drug Administration (FDA).
7. The method of claim 1 wherein said standards compliant validated submission data is generated by validating said standards compliant data using a standards model.
8. The method of claim 7 wherein said standards model is a Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM).
9. The method of claim 1 further comprising the step of verifying said annotations using a standards interpretation guide.
10. The method of claim 6 wherein said standards interpretation guide is a Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model Implementation Guide (SDTMIG).
11. The method of claim 5 , further comprising submitting said validated submission data to the regulatory agency.
12. A system for integrating clinical trial data into a form required by a standard, said system comprising:
a case report form designed to collect specific data needed to test the efficacy of a new agent in a clinical trial;
a database for storing the specific data, wherein the database includes:
a trial data store for capturing and storing said specific data in which at least a portion of the stored specific data is in a non-compliant format that includes at least one variable data element that varies in at least one of a format, syntax, and semantics, and
a submission data store for storing validated submission data;
a data mapping processor connected to said database and configured to:
analyze the specific data stored in the trial data store, to capture transformation rules capable of converting the at least one variable data element into at least one standards compliant data element that does not vary in format, syntax, and semantics, and
convert the specific data into a standards compliant format by applying said transformation rules that transform the at least one variable data element into the at least one standard data element;
a validation module connected to said data mapping processor configured to validate said standards compliant data; and
a dataset generation module configured to generate validated submission data based on said standards compliant data.