Using a hybrid electronic medical record system for the surveillance of adverse surgical events and human error in a developing world surgical service

World J Surg. 2015 Jan;39(1):70-9. doi: 10.1007/s00268-014-2766-x.

Abstract

Introduction: The quantification and analysis of adverse events is essential to benchmark surgical outcomes and establish a foundation for quality improvement interventions. We developed a hybrid electronic medical record (HEMR) system for the accurate collection and integration of data into a structured morbidity and mortality (M&M) meeting.

Methodology: The HEMR system was implemented on January 1, 2013. It included a mechanism to capture and classify adverse events using the ICD-10 coding system. This was achieved by both prospective reporting by clients and by retrospective sentinel-event-trawling performed by administrators.

Results: From January 1, 2013 to March 20, 2014, 6,217 patients were admitted within the tertiary surgical service of Greys Hospital. A total of 1,314 (21.1 %) adverse events and 315 (5.1 %) deaths were recorded. The adverse events were divided into 875 "pathology-related" morbidities and 439 "error-related" morbidities. Pathology-related morbidities included 725 systemic complications and 150 operative complications. Error-related morbidities included 257 cognitive errors, 158 (2.5 %) iatrogenic injuries, and 24 (1.3 %) missed injuries. Error accounted for 439 (33 %) of the total number of adverse events. A total of 938 (71.4 %) adverse events were captured prospectively, whereas the remaining 376 (28.6 %) were captured retrospectively. The ICD-10 coding system was found to have some limitations in its classification of adverse events.

Conclusions: The HEMR system has provided the necessary platform within our service to benchmark the incidence of adverse events. The use of the international ICD-10 coding system has identified some limitations in its ability to classify and categorise adverse events in surgery.

MeSH terms

  • Computer Systems
  • Developing Countries*
  • Electronic Health Records / organization & administration*
  • Humans
  • Incidence
  • Medical Errors / statistics & numerical data*
  • Prospective Studies
  • Retrospective Studies
  • South Africa
  • Surgical Procedures, Operative / adverse effects*