MP10-10 PATIENT-LEVEL VALIDATION OF PROSTATE CANCER DATA COLLECTED VIA AUTOMATED EXTRACTION FROM STRUCTURED AND UNSTRUCTURED ELECTRONIC HEALTH RECORD (EHR) RECORDS

You have accessJournal of UrologyGeneral & Epidemiological Trends & Socioeconomics: Quality Improvement & Patient Safety I (MP10)1 Apr 2019MP10-10 PATIENT-LEVEL VALIDATION OF PROSTATE CANCER DATA COLLECTED VIA AUTOMATED EXTRACTION FROM STRUCTURED AND UNSTRUCTURED ELECTRONIC HEALTH RECORD (EHR) RECORDS Matthew R. Cooperberg*, William Meeks, Ji Qi, Rodney L. Dunn, Sanyog Pendharkar, Daniel Pichardo, Anna Johnson, Susan Linsell, Raymond Fang, Steven Schlossberg, and James E. Montie Matthew R. Cooperberg*Matthew R. Cooperberg* More articles by this author , William MeeksWilliam Meeks More articles by this author , Ji QiJi Qi More articles by this author , Rodney L. DunnRodney L. Dunn More articles by this author , Sanyog PendharkarSanyog Pendharkar More articles by this author , Daniel PichardoDaniel Pichardo More articles by this author , Anna JohnsonAnna Johnson More articles by this author , Susan LinsellSusan Linsell More articles by this author , Raymond FangRaymond Fang More articles by this author , Steven SchlossbergSteven Schlossberg More articles by this author , and James E. MontieJames E. Montie More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000555154.96959.37AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: The AUA Quality (AQUA) Registry now includes data on >4.3M patients managed by over 1500 urologists across the country. AQUAs databases are populated by automated extraction of data from a variety of EHR systems. Some data (e.g., billing codes and orders) usually exist as structured data in EHRs. Others (e.g., cancer grade) usually do not, and must be identified via regular expression or the use of natural language processing. As a test of data extraction quality, we performed a patient-level validation of prostate cancer data from two AQUA practices compared to the manually abstracted data available through their participation in the Michigan Urological Surgical Improvement Collaborative (MUSIC). METHODS: Data were collected from men newly diagnosed with prostate cancer between 2014 and 2017 at two urology practices in Michigan. AQUA data were extracted using EHR connector software (FIGMD Inc, San Diego, CA), and MUSIC data were manually abstracted by trained staff at each site with annual onsite quality audits. Date of diagnosis, Gleason score (primary and secondary), diagnostic PSA, number of biopsy cores (positive and total), clinical staging, and primary treatment were compared. Percent of cases with missing information on each variable was also evaluated for both registries. RESULTS: A total of 725 patients from the two practices were linked between AQUA and MUSIC registry. The rate of missing data in each registry as well as matching rates for values when identified are shown in Table 1. The most common mismatches for treatment were between brachytherapy and external- beam radiation, and between radiation and primary androgen deprivation. CONCLUSIONS: Automated extraction of both structured and unstructured data from EHRs is possible, and has the potential to substantially reduce the time and cost of disease registry population. Adjustments to algorithms will continually improve the quality of the automated abstraction. Source of Funding: American Urological Association and Blue Cross Blue Shield of Michigan San Francisco, CA; Linthicum, MD; Ann Arbor, MI; Pune, India; Linthicum, MD; Ann Arbor, MI; Linthicum, MD; Walnut Creek, CA; Ann Arbor, MI© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e121-e121 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Matthew R. Cooperberg* More articles by this author William Meeks More articles by this author Ji Qi More articles by this author Rodney L. Dunn More articles by this author Sanyog Pendharkar More articles by this author Daniel Pichardo More articles by this author Anna Johnson More articles by this author Susan Linsell More articles by this author Raymond Fang More articles by this author Steven Schlossberg More articles by this author James E. Montie More articles by this author Expand All Advertisement PDF downloadLoading ...