Harnessing electronic medical records to advance research on multiple sclerosis

被引：16

作者：

Damotte, Vincent ^{[1
]}

Lizee, Antoine ^{[1
,3
]}

Tremblay, Matthew ^{[1
,2
]}

Agrawal, Alisha ^{[1
]}

Khankhanian, Pouya ^{[1
,4
]}

Santaniello, Adam ^{[1
]}

Gomez, Refujia ^{[1
]}

Lincoln, Robin ^{[1
]}

Tang, Wendy ^{[1
]}

Chen, Tiffany ^{[1
]}

Lee, Nelson ^{[5
]}

Villoslada, Pablo ^{[1
,6
]}

Hollenbach, Jill A. ^{[1
]}

Bevan, Carolyn D. ^{[1
]}

Graves, Jennifer ^{[1
]}

Bove, Riley ^{[1
]}

Goodin, Douglas S. ^{[1
]}

Green, Ari J. ^{[1
]}

Baranzini, Sergio E. ^{[1
]}

Cree, Bruce A. C. ^{[1
]}

Henry, Roland G. ^{[1
]}

Hauser, Stephen L. ^{[1
]}

Gelfand, Jeffrey M. ^{[1
]}

Gourraud, Pierre-Antoine ^{[1
,3
]}

机构：

[1] Univ Calif San Francisco, Sch Med, Dept Neurol, MS Genet, 675 Nelson Rising Lane,Box 3206, San Francisco, CA 94158 USA

[2] Univ Connecticut, Ctr Hlth, Dept Neurol, John Dempsey Hosp, Farmington, CT USA

[3] Univ Nantes, INSERM, Ctr Rech Transplantat & Immunol, UMR 1064,ATIP Avenir,Equipe 5, Nantes, France

[4] Univ Penn, Ctr Neuroengn & Therapeut, Philadelphia, PA 19104 USA

[5] Univ Calif San Francisco, Informat Technol, San Francisco, CA 94143 USA

[6] Hosp Clin Barcelona, IDIBAPS, Barcelona, Spain

来源：

MULTIPLE SCLEROSIS JOURNAL | 2019年 / 25卷 / 03期

关键词：

Electronic medical records; natural language processing; HEALTH RECORDS; DISABILITY;

D O I：

10.1177/1352458517747407

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

Background: Electronic medical records (EMR) data are increasingly used in research, but no studies have yet evaluated similarity between EMR and research-quality data and between characteristics of an EMR multiple sclerosis (MS) population and known natural MS history. Objectives: To (1) identify MS patients in an EMR system and extract clinical data, (2) compare EMR-extracted data with gold-standard research data, and (3) compare EMR MS population characteristics to expected MS natural history. Methods: Algorithms were implemented to identify MS patients from the University of California San Francisco EMR, de-identify the data and extract clinical variables. EMR-extracted data were compared to research cohort data in a subset of patients. Results: We identified 4142 MS patients via search of the EMR and extracted their clinical data with good accuracy. EMR and research values showed good concordance for Expanded Disability Status Scale (EDSS), timed-25-foot walk, and subtype. We replicated several expected MS epidemiological features from MS natural history including higher EDSS for progressive versus relapsing-remitting patients and for male versus female patients and increased EDSS with age at examination and disease duration. Conclusion: Large real-world cohorts algorithmically extracted from the EMR can expand opportunities for MS clinical research.

引用

页码：408 / 418

页数：11

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