Accuracy of the medication list in the electronic health record—implications for care, research, and improvement

Objective Electronic medication lists may be useful in clinical decision support and research, but their accuracy is not well described. Our aim was to assess the completeness of the medication list compared to the clinical narrative in the electronic health record. Methods We reviewed charts of 30 patients with inflammatory bowel disease (IBD) from each of 6 gastroenterology centers. Centers compared IBD medications from the medication list to the clinical narrative. Results We reviewed 379 IBD medications among 180 patients. There was variation by center, from 90% patients with complete agreement between the medication list and clinical narrative to 50% agreement. Conclusions There was a range in the accuracy of the medication list compared to the clinical narrative. This information may be helpful for sites seeking to improve data quality and those seeking to use medication list data for research or clinical decision support.

[1]  Peter Margolis,et al.  ImproveCareNow: The development of a pediatric inflammatory bowel disease improvement network , 2011, Inflammatory bowel diseases.

[2]  J. Steiner,et al.  A pragmatic framework for single-site and multisite data quality assessment in electronic health record-based clinical research. , 2012, Medical care.

[3]  Hans-Ulrich Prokosch,et al.  Evaluation of data completeness in the electronic health record for the purpose of patient recruitment into clinical trials: a retrospective analysis of element presence , 2013, BMC Medical Informatics and Decision Making.

[4]  J van der Lei,et al.  Use and Abuse of Computer-Stored Medical Records , 1991, Methods of Information in Medicine.

[5]  Jill G Joseph,et al.  Hospital-reported medical errors in children. , 2003, Pediatrics.

[6]  Bryan K Hendrickson,et al.  Evaluation of immunization data completeness within a large community health care system exchanging data with a state immunization information system. , 2015, Journal of public health management and practice : JPHMP.

[7]  Joann L. Wagner,et al.  Medication errors in the homes of children with chronic conditions , 2011, Archives of Disease in Childhood.

[8]  Chunhua Weng,et al.  Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research , 2013, J. Am. Medical Informatics Assoc..

[9]  Ee Ming Khoo,et al.  Medical errors in primary care clinics – a cross sectional study , 2012, BMC Family Practice.

[10]  D. Milov,et al.  Short pediatric Crohn's disease activity index for quality improvement and observational research , 2009, Inflammatory bowel diseases.

[11]  Keith Marsolo,et al.  PEDSnet: a National Pediatric Learning Health System , 2014, J. Am. Medical Informatics Assoc..

[12]  William W. Stead,et al.  Toward a science of learning systems: a research agenda for the high-functioning Learning Health System , 2014, J. Am. Medical Informatics Assoc..

[13]  Charles P. Friedman,et al.  Conceptualising and creating a global learning health system , 2013, Int. J. Medical Informatics.

[14]  J. Stockman Variation in Care in Pediatric Crohn Disease , 2011 .

[15]  D Kalra,et al.  Electronic health records: new opportunities for clinical research , 2013, Journal of internal medicine.

[16]  P. Margolis,et al.  Improved Outcomes in a Quality Improvement Collaborative for Pediatric Inflammatory Bowel Disease , 2012, Pediatrics.

[17]  Richard Platt,et al.  Launching PCORnet, a national patient-centered clinical research network , 2014, Journal of the American Medical Informatics Association : JAMIA.

[18]  Kitty S. Chan,et al.  Review: Electronic Health Records and the Reliability and Validity of Quality Measures: A Review of the Literature , 2010, Medical care research and review : MCRR.

[19]  Rainu Kaushal,et al.  Computerized provider order entry and patient safety. , 2012, Pediatric clinics of North America.

[20]  L. Etheredge,et al.  A rapid-learning health system. , 2007, Health affairs.

[21]  Sarah E. Daugherty,et al.  Patient-powered research networks: building capacity for conducting patient-centered clinical outcomes research , 2014, J. Am. Medical Informatics Assoc..

[22]  Kevin Haynes,et al.  Electronic clinical laboratory test results data tables: lessons from Mini‐Sentinel , 2014, Pharmacoepidemiology and drug safety.

[23]  Michael G Kahn,et al.  Quantifying clinical data quality using relative gold standards. , 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

[24]  D. Blumenthal,et al.  Achieving a Nationwide Learning Health System , 2010, Science Translational Medicine.