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Implementing A Novel Quality Improvement-Based Approach To Data Quality Monitoring And Enhancement In A Multipurpose Clinical Registry, Jesse Pratt, Daniel Jeffers, Eileen C. King, Michael D. Kappelman, Jennifer Collins, Peter Margolis, Howard Baron, Julie A. Bass, Mikelle D. Bassett, Genie L. Beasley, Keith J. Benkov, Jeffrey A. Bornstein, Jose M. Cabrera, Wallace Crandall, Liz D. Dancel, Monica P. Garin-Laflam, John E. Grunow, Barry Z. Hirssch, Edward Hoffenberg, Esther Israel, Traci W. Jester, Fevronia Kiparissi, Arathi Lakhole, Sameer P. Lapsia, Phillip Minar, Fernando A. Navarro, Haley Neef, Kt Park, Dinesh S. Pashankar, Ashish S. Patel, Victor M. Pineiro, Chrles M. Samson, Kelly C. Sandberg, Steven J. Steiner, Jennifer A. Strople, Boris Sudel, Jillian S. Sullivan, David L. Suskind, Vikas Uppal, Prateek D. Wali

Pediatrics Faculty Publications

Objective: To implement a quality improvement based system to measure and improve data quality in an observational clinical registry to support a Learning Healthcare System.

Data Source: ImproveCareNow Network registry, which as of September 2019 contained data from 314,250 visits of 43,305 pediatric Inflammatory Bowel Disease (IBD) patients at 109 participating care centers.

Study Design: The impact of data quality improvement support to care centers was evaluated using statistical process control methodology. Data quality measures were defined, performance feedback of those measures using statistical process control charts was implemented, and reports that identified data items not following data quality checks …