Phenotyping for patient safety: Algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care

Journal of the American Medical Informatics Association

Volumn 21, Issue 5, 2014, Pages 776-784

  Li, Qi ^a   Melton, Kristin ^a   Lingren, Todd ^a   Kirkendall, Eric S ^a   Hall, Eric ^a   Zhai, Haijun ^a   Ni, Yizhao ^a   Kaiser, Megan ^a   Stoutenborough, Laura ^a   Solti, Imre ^a  

^a CINCINNATI CHILDREN'S HOSPITAL MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NALOXONE; NARCOTIC AGENT;

ARTICLE; AUTOMATED ADVERSE EVENT ALGORITHM; CHILD SAFETY; CLASSIFICATION ALGORITHM; CONSENSUS; CONTROLLED STUDY; DRUG DOSE REGIMEN; ELECTRONIC MEDICAL RECORD; FLUID RESUSCITATION; HUMAN; INTRAVENOUS ADMINISTRATION; MAJOR CLINICAL STUDY; MEDICAL ERROR; MEDICAL ERROR DETECTION ALGROITHM; MEDICAL INFORMATION SYSTEM; MEDICATION ERROR; NEONATOLOGIST; NEWBORN; NEWBORN INTENSIVE CARE; PATIENT SAFETY; PREDICTIVE VALUE; RESPIRATION CONTROL; SEDATION; SENSITIVITY AND SPECIFICITY; VOLUNTARY REPORTING;

AUTOMATIC ADVERSE EVENT AND MEDICAL ERROR DETECTION; ELECTRONIC HEALTH RECORD (EHR); NATURAL LANGUAGE PROCESSING (NLP); NEONATAL INTENSIVE CARE UNIT (NICU); PATIENT SAFETY; PHENOTYPING;

AIRWAY MANAGEMENT; ALGORITHMS; ELECTRONIC HEALTH RECORDS; HUMANS; INFANT, NEWBORN; INFUSIONS, INTRAVENOUS; INTENSIVE CARE UNITS, NEONATAL; MEDICAL ERRORS; MEDICATION ERRORS; PATIENT SAFETY; PREDICTIVE VALUE OF TESTS; RISK MANAGEMENT; SENSITIVITY AND SPECIFICITY;

EID: 84906313336     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2013-001914     Document Type: Article

References (26)

1. Solti I. EHR-Based patient safety: automated error detection in neonatal intensive care. 2012. http://projectreporter.nih.gov/project_info_details.cfm? aid=8334934&icde=15591108 (accessed 12 Mar 2013).
2. Das S, Eisenberg LD, House JW, et al. Meaningful use of electronic health records in otolaryngology: recommendations from the American Academy of Otolaryngology-Head and Neck Surgery Medical Informatics Committee. Otolaryngol Head Neck Surg 2011;144:135-41.
3. Blumenthal D. Launching HITECH. N Engl J Med 2010;365:382-5.
4. Classen DC, Resar R, Griffin F, et al. Global trigger tool' shows that adverse events in hospitals may be ten times greater than previously measured. Health Aff (Millwood) 2011;30:581-9.
5. Naessens JM, Campbell CR, Huddleston JM, et al. A comparison of hospital adverse events identified by three widely used detection methods. Int J Qual Health Care 2009;21:301-7.
6. Govindan M, Van Citters AD, Nelson EC, et al. Automated detection of harm in healthcare with information technology: a systematic review. Qual Saf Health Care 2010;19:e11.
7. Raju TN, Suresh G, Higgins RD. Patient safety in the context of neonatal intensive care: research and educational opportunities. Pediatr Res 2011;1:109-15.
8. Sharek PJ, Horbar JD, Mason W, et al. Adverse events in the neonatal intensive care unit: development, testing, and findings of an NICU-focused trigger tool to identify harm in North American NICUs. Pediatrics 2006;118:1332-40.
9. Kirkendall ES, Kloppenborg E, Papp J, et al. Measuring adverse events and levels of harm in pediatric inpatients with the Global Trigger Tool. Pediatrics 2012;130: e1206-14.
10. Snijders C, van Lingen RA, Molendijk A, et al. Incidents and errors in neonatal intensive care: a review of the literature. Arch Dis Child Fetal Neonatal Ed 2007;92: F391-8.
11. Zhan C, Miller MR. Administrative data based patient safety research: a critical review. Qual Saf Health Care 2003;12(Suppl 2):ii58-63.
12. Patient Safety Indicators (PSIs). http://www.qualityindicators.ahrq.gov/modules/psi_ overview.aspx (accessed 18 Mar 2013).
13. McGlynn EA, Asch SM, Adams J, et al. The quality of health care delivered to adults in the United States. N Engl J Med 2003;348:2635-45.
14. Melton GB, Hripcsak G. Automated detection of adverse events using natural language processing of discharge summaries. J Am Med Inform Assoc 2005;12:448-57.
15. Murff HJ, FitzHenry F, Matheny ME, et al. Automated identification of postoperative complications within an electronic medical record using natural language processing. J Am Med Assoc 2011;306:848-55.
16. Sharek PJ, Classen D. The incidence of adverse events and medical error in pediatrics. Pediatr Clin North Am 2006;53:1067-77.
17. Bates DW, Boyle DL, Vander Vliet MB. Relationship between medication errors and adverse drug events. J Gen Intern Med 1995;10:199-205.
18. Nebeker JR, Barach P, Samore MH. Clarifying adverse drug events: a clinician's guide to terminology, documentation, and reporting. Ann Intern Med 2004;140:795-801.
19. Snijders C, van Lingen RA, Klip H, et al. Specialty-based, voluntary incident reporting in neonatal intensive care: description of 4846 incident reports. Arch Dis Child Fetal Neonatal Ed 2009;94:210-15.
20. Muething SE, Conway PH, Kloppenborg E, et al. Identifying causes of adverse events detected by an automated trigger tool through in-depth analysis. Qual Saf Health Care 2010;19:435-9.
21. Risk MonitorPro®. http://www.rlsolutions.com/ (accessed 23 Mar 2013).
22. Ogren P. Knowtator: a protégé plug-in for annotated corpus construction. In: Proceedings of the 2006 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume: demonstrations; New York, New York: 2006, 273-5.
23. Noble DJ, Pronovost PJ. Underreporting of patient safety incidents reduces health care's ability to quantify and accurately measure harm reduction. J Patient Saf 2010;6:247-50.
24. Taylor JA, Brownstein D, Christakis DA, et al. Use of incident reports by physicians and nurses to document medical errors in pediatric patients. Pediatrics 2004;114:729-35.
25. Resar RK, Rozich JD, Simmonds T, et al. A trigger tool to identify adverse events in the intensive care unit. Jt Comm J Qual Patient Saf 2006;32:585-90.
26. Rozich JD, Haraden CR, Resar RK. Adverse drug event trigger tool: a practical methodology for measuring medication related harm. Qual Saf Health Care 2003;12:194-200.