Language：English   Publishing type：Research paper (scientific journal)  

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. METHODS: We retrospectively analysed free-text data from reports of incidents between January 2012 and December 2022 from Nagoya University Hospital, Japan. The sample data were randomly allocated to equal-sized training and validation datasets. We conducted morphological analysis on free text to segment terms from sentences in the training dataset. We calculated error scores for terms, individual reports and reports from staff groups according to report volume size and compared these with conventional classifications by patient safety experts. We also calculated accuracy, recall, precision and F-score values from the proposed 'report error score'. RESULTS: Overall, 114 013 reports were included. We calculated 36 131 'term error scores' from the 57 006 reports in the training dataset. There was a significant difference in error scores between reports of incidents categorised by experts as arising from errors (p<0.001, d=0.73 (large)) and other incidents. The accuracy, recall, precision and F-score values were 0.8, 0.82, 0.85 and 0.84, respectively. Group error scores were positively associated with expert ratings (correlation coefficient, 0.66; 95% CI 0.54 to 0.75, p<0.001) for all departments. CONCLUSION: Our error scoring system could provide insights to improve patient safety using aggregated incident report data.

DOI： 10.1136/bmjhci-2023-100935

Web of Science

Scopus

PubMed

Language：Japanese   Publisher：(公社)日本小児科学会  

Language：Japanese   Publisher：(一社)医療の質・安全学会  

Language：Japanese   Publisher：(一社)日本小児救急医学会  

当院救急外来で血液培養検査の適応を見直し,慣習的な血液培養採取を減らすため,血液培養検査マニュアル(以下,マニュアル)を作成し,その有用性を評価した.2018年8月にマニュアルを導入し,移行期間を設け,その前後1年間で導入前群,導入後群に分け両群の比較を行った.主要評価項目は血液培養採取率とし,副次的評価項目はマニュアル遵守率,菌血症検出率,複数セット採取率,嫌気ボトル採取率,コンタミネーション率,見逃し症例とした.血液培養採取患者数は導入前群479人,導入後群371人であり,採取率は導入前群10.6%,導入後群9.0%であり,有意差を認めた(p=0.013).副次的評価項目であるマニュアル遵守率は導入前群62.4%,導入後群84.6%であり,マニュアルを導入することで慣習的な検体採取を減らすことができる可能性がある.(著者抄録)

Language：Japanese   Publisher：(一社)医療の質・安全学会  

Language：Japanese   Publisher：(一社)医療の質・安全学会  

Language：Japanese   Publisher：(一社)医療の質・安全学会