Development of a scoring system to quantify errors from semantic characteristics in incident reports.

Objectives: Incident reporting systems are widely used to identify risks and enable organisational learning. Free-text descriptions contain important information about factors associated with incidents. This study aimed to develop error scores by extracting information about the presence of error factors in incidents using an original decision-making model that partly relies on natural language processing techniques.

Development of a Novel Scoring System to Quantify the Severity of Incident Reports: An Exploratory Research Study.

Incident reporting systems have been widely adopted to collect information about patient safety incidents. Much of the value of incident reports lies in the free-text section. Computer processing of semantic information may be helpful to analyze this.

Assessment of medical malpractice cost at a Japanese national university hospital.

Medical safety management has an economic dimension that has received little attention. Medical expenses associated with medical malpractice in Japan should be investigated in relation to patient safety measures and their consequences. We analyzed medical accidents that occurred within the past seven years at a university hospital.