- From: Jiang, Guoqian, M.D., Ph.D. <Jiang.Guoqian@mayo.edu>
- Date: Mon, 15 Jul 2013 01:39:07 +0000
- To: Andrea Splendiani <andrea.splendiani@deri.org>, "public-semweb-lifesci@w3.org HCLS" <public-semweb-lifesci@w3.org>
- CC: "Solbrig, Harold R." <Solbrig.Harold@mayo.edu>
Hi, Andrea, You may want to look into the clinical element models developed for normalization of EMR data for secondary use in the ONC SHARP project, including the models of patients, disease/disorder, noted drug and lab observations. The models are rendered in XML schema format. http://informatics.mayo.edu/sharp/index.php/CEMS#XSD_Scheme In addition, there is an international effort known as the Clinical Information Modeling Initiative (CIMI) in the standardization of clinical information models, in which CDISC, HL7 and may other organizations are participating in. http://informatics.mayo.edu/CIMI/index.php/Main_Page Regards, -Guoqian Guoqian Jiang Mayo Clinic On 7/14/13 6:34 PM, "Andrea Splendiani" <andrea.splendiani@deri.org> wrote: >Hi, > >I was wondering if somebody could provide some pointer to work going on >in an area that is related to clinical trials: inclusion and exclusion >criteria. >(I have followed the recent thread on encoding Hamilton Disease and >pointers). > >In, particular, I am interested in two things: >Standards with substantial uptake (sub question: is CDISC's uptake actual >or perspective ?). > >Modeling of inclusion/exclusion criteria, but with a particular twist: >not modeling the questions, but the facts that are queried. Basically I >am interested in modeling patients and conditions (to the level of detail >required "usually" required by clinical trials). The subject itself can >be very vast, but is there a framework which provides at least an upper >perspective on how to model subjects's features, diseases, interventions, >samples (also respect to time) ? > >Any pointer is welcome! > >best, >Andrea Splendiani > >
Received on Monday, 15 July 2013 01:39:32 UTC