Incident Reporting System in an Italian University Hospital: A New Tool for Improving Patient Safety

Int J Environ Res Public Health. 2020 Aug 28;17(17):6267. doi: 10.3390/ijerph17176267.

Abstract

Clinical risk management constitutes a central element in the healthcare systems in relation to the reverberation that it establishes, and as regards the optimization of clinical outcomes for the patient. The starting point for a right clinical risk management is represented by the identification of non-conforming results. The aim of the study is to carry out a systematic analysis of all data received in the first three years of adoption of a reporting system, revealing the strengths and weaknesses. The results emerged showed an increasing trend in the number of total records. Notably, 86.0% of the records came from the medical category. Moreover, 41.0% of the records reported the possible preventive measures that could have averted the event and in 30% of the reports are hints to be put in place to avoid the repetition of the events. The second experimental phase is categorizing the events reported. Implementing the reporting system, it would guarantee a virtuous cycle of learning, training and reallocation of resources. By sensitizing health workers to a correct use of the incident reporting system, it could become a virtuous error learning system. All this would lead to a reduction in litigation and an implementation of the therapeutic doctor-patient alliance.

Keywords: clinical risk management; healthcare system resilience; incident reporting; legal medicine; patient safety; performance management systems.

MeSH terms

  • Data Collection / methods*
  • Hospitals, University
  • Humans
  • Italy
  • Management Audit
  • Medical Errors / prevention & control*
  • Medical Errors / statistics & numerical data
  • Medical Records Systems, Computerized
  • Patient Safety*
  • Quality of Health Care / statistics & numerical data*
  • Risk Management / organization & administration*
  • Safety Management / organization & administration
  • Safety Management / statistics & numerical data*
  • Total Quality Management / organization & administration