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.

Enhanced hospital-wide communication and interaction by team training to improve patient safety.

Communication errors are the most important cause of adverse events in healthcare. The current study aimed to improve hospital-wide employee teamwork and reduce adverse medical events for patients arising from miscommunication. In our hospital, when patient safety incidents and accidents occur, staff from various occupations submit incident reports to the Department of Patient Safety via an electronic reporting system; over 11,000 cases are reported each year.

Significance of incident reports by medical doctors for organizational transparency and driving forces for patient safety.

Background: Incident reporting is an effective strategy used to enhance patient safety and quality improvement in healthcare. An incident is an event that could eventually result in harm to a patient. The aim of this study is to re-evaluate the importance of reporting by medical doctors to improve quality in healthcare and patient safety.