Enhanced Free-Text Search for Aggregated Medication Error Report Analysis and Risk Detection.

IF 1.7 3区医学 Q3 HEALTH CARE SCIENCES & SERVICES

Journal of Patient Safety Pub Date : 2024-04-05 DOI:10.1097/pts.0000000000001218

Ville Valkonen, Susanna Saano, Kaisa Haatainen, Miia Tiihonen

引用次数: 0

Abstract

Detecting medication errors (MEs) and learning from them are the key elements of medication safety management in health care. While the aggregation of the data and learning across the ME reports could help detect and manage organizational risks, the inconsistent and partly missing structural data complicate the analysis. The objective of this study was to examine whether an analysis of free-text data of aggregated ME reports could contribute to the detection of organizational risks.

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用于汇总用药错误报告分析和风险检测的增强型自由文本搜索。

发现用药错误（ME）并从中吸取教训是医疗保健用药安全管理的关键要素。虽然汇总 ME 报告中的数据并从中学习有助于发现和管理组织风险，但结构数据的不一致和部分缺失使分析变得复杂。本研究旨在探讨对汇总的 ME 报告的自由文本数据进行分析是否有助于发现组织风险。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Patient Safety HEALTH CARE SCIENCES & SERVICES-

CiteScore

4.60

自引率

13.60%

发文量

302

期刊介绍： Journal of Patient Safety (ISSN 1549-8417; online ISSN 1549-8425) is dedicated to presenting research advances and field applications in every area of patient safety. While Journal of Patient Safety has a research emphasis, it also publishes articles describing near-miss opportunities, system modifications that are barriers to error, and the impact of regulatory changes on healthcare delivery. This mix of research and real-world findings makes Journal of Patient Safety a valuable resource across the breadth of health professions and from bench to bedside.