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Analysis of free text in electronic health records for identification of cancer patient trajectories
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Jensen, Kasper, Soguero-Ruiz, Cristina, Oyvind Mikalsen, Karl, Lindsetmo, Rolv-Ole, Kouskoumvekaki, Irene, Girolami, Mark, Olav Skrovseth, Stein and Magne Augestad, Knut (2017) Analysis of free text in electronic health records for identification of cancer patient trajectories. Scientific Reports, 7 . 46226. doi:10.1038/srep46226 ISSN 2045-2322.
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Official URL: https://doi.org/10.1038/srep46226
Abstract
With an aging patient population and increasing complexity in patient disease trajectories, physicians are often met with complex patient histories from which clinical decisions must be made. Due to the increasing rate of adverse events and hospitals facing financial penalties for readmission, there has never been a greater need to enforce evidence-led medical decision-making using available health care data. In the present work, we studied a cohort of 7,741 patients, of whom 4,080 were diagnosed with cancer, surgically treated at a University Hospital in the years 2004-2012. We have developed a methodology that allows disease trajectories of the cancer patients to be estimated from free text in electronic health records (EHRs). By using these disease trajectories, we predict 80% of patient events ahead in time. By control of confounders from 8326 quantified events, we identified 557 events that constitute high subsequent risks (riskโ>โ20%), including six events for cancer and seven events for metastasis. We believe that the presented methodology and findings could be used to improve clinical decision support and personalize trajectories, thereby decreasing adverse events and optimizing cancer treatment.
Item Type: | Journal Article | ||||||
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Subjects: | R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer) | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||||
SWORD Depositor: | Library Publications Router | ||||||
Library of Congress Subject Headings (LCSH): | Cancer -- Diagnosis, Medical records -- Data processing | ||||||
Journal or Publication Title: | Scientific Reports | ||||||
Publisher: | Nature Publishing Group | ||||||
ISSN: | 2045-2322 | ||||||
Official Date: | 7 April 2017 | ||||||
Dates: |
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Volume: | 7 | ||||||
Article Number: | 46226 | ||||||
DOI: | 10.1038/srep46226 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Reuse Statement (publisher, data, author rights): | ** From PubMed via Jisc Publications Router. ** History: ** received: 17-10-2016 ** accepted: 13-03-2017 | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Date of first compliant deposit: | 16 October 2017 | ||||||
Date of first compliant Open Access: | 18 October 2017 |
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