Taylor, PM;
Okada, S;
Ramachandran, N;
McNicoll, I;
Wong, WK;
(2016)
Analysis of data elements in cancer registries for defining single consistent clinical dataset.
In:
Proceedings of the 36th Joint Conference on Medical Informatics.
Japan Association for Medical Informatics: Yokohama, Japan.
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Abstract
Cancer registries provide information for cancer prevention, diagnosis and treatment. However, collecting detailed data required by each of the registries causes problems for the front line clinicians who have to record the information. Defining a single consistent dataset including all required data would reduce the effort involved in data collection. The aim of this study was to compare datasets in multiple cancer registries and to clarify the differences between them, to explore the possibility of defining a single consistent clinical dataset for cancer. Prostate cancer was selected as an exemplar target. All data elements from five cancer registries in UK were categorized in six groups: demographics, referral, imaging, diagnosis, treatment, and miscellaneous. The definitions of data elements were checked in detail by the first author. A domain expert judged the relationship between similar elements and explained the reason for the judgements when it was not clear.As a result, a set of unique data elements was created by eliminating overlaps in data elements. In addition, similar but distinct data elements were grouped together. The total number of data elements (451) was reduced by 22% from the simple sum (581) of the entries in each registry. There are large differences in treatment and miscellaneous, which reflects the interests of each registry. Although the ratios vary by groups, from 40% (25/62) for demographics to 83% (33/40) for referral, it is anticipated that the single consistent clinical dataset will improve the efficiency of data gathering.
| Type: | Proceedings paper |
|---|---|
| Title: | Analysis of data elements in cancer registries for defining single consistent clinical dataset |
| Event: | 36th Joint Conference on Medical Informatics |
| Location: | Pacifico-Yokohama (Yokohama, Japan) |
| Dates: | 21 November 2016 - 24 November 2016 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://36th.jcmi.jp/english/ |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Data set, Cancer registry |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > CHIME |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1538736 |
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