학술논문
Transforming the oncology data paradigm by creating, capturing, and retrieving structured cancer data at the point of care: A Mayo Clinic pilot.
Document Type
Article
Author
Tevaarwerk, Amye J.; Karam, Dhauna; Gatten, Clare A.; Harlos, Elizabeth S.; Maurer, Matthew J.; Giridhar, Karthik V.; Haddad, Tufia C.; Alberts, Steven R.; Holton, Sara J.; Stockham, Abigail; Leventakos, Konstantinos; Hubbard, Joleen M.; Mansfield, Aaron S.; Halfdanarson, Thorvardur R.; Chen, Ruqin; Jochum, Jacob A.; Schwecke, Anna S.; Eiring, Rachel A.; Carroll, Jamie L.; Riaz, Irbaz Bin
Source
Subject
Language
ISSN
0008-543X
Abstract
Introduction Methods Results Conclusions Structured data capture requires defined languages such as minimal Common Oncology Data Elements (mCODE). This pilot assessed the feasibility of capturing 5 mCODE categories (stage, disease status, performance status (PS), intent of therapy and intent to change therapy).A tool (SmartPhrase) using existing and custom structured data elements was Built to capture 4 data categories (disease status, PS, intent of therapy and intent to change therapy) typically documented as free‐text within notes. Existing functionality for stage was supported by the Build. Participant survey data, presence of data (per encounter), and time in chart were collected prior to go‐live and repeat timepoints. The anticipated outcome was capture of >50% sustained over time without undue burden.Pre‐intervention (5‐weeks before go‐live), participants had 1390 encounters (1207 patients). The median percent capture across all participants was 32% for stage; no structured data was available for other categories pre‐intervention. During a 6‐month pilot with 14 participants across three sites, 4995 encounters (3071 patients) occurred. The median percent capture across all participants and all post‐intervention months increased to 64% for stage and 81%–82% for the other data categories post‐intervention. No increase in participant time in chart was noted. Participants reported that data were meaningful to capture.Structured data can be captured (1) in real‐time, (2) sustained over time without (3) undue provider burden using note‐based tools. Our system is expanding the pilot, with integration of these data into clinical decision support, practice dashboards and potential for clinical trial matching. [ABSTRACT FROM AUTHOR]