Mazo Claudia, Kearns Cathriona, Mooney Catherine, Gallagher William M
UCD School of Computer Science, University College Dublin, Dublin 4, Ireland.
CeADAR: Centre for Applied Data Analytics Research, Dublin 4, Ireland.
Cancers (Basel). 2020 Feb 6;12(2):369. doi: 10.3390/cancers12020369.
Breast cancer is the most frequently diagnosed cancer in women, with more than 2.1 million new diagnoses worldwide every year. Personalised treatment is critical to optimising outcomes for patients with breast cancer. A major advance in medical practice is the incorporation of Clinical Decision Support Systems (CDSSs) to assist and support healthcare staff in clinical decision-making, thus improving the quality of decisions and overall patient care whilst minimising costs. The usage and availability of CDSSs in breast cancer care in healthcare settings is increasing. However, there may be differences in how particular CDSSs are developed, the information they include, the decisions they recommend, and how they are used in practice. This systematic review examines various CDSSs to determine their availability, intended use, medical characteristics, and expected outputs concerning breast cancer therapeutic decisions, an area that is known to have varying degrees of subjectivity in clinical practice. Utilising the methodology of Kitchenham and Charter, a systematic search of the literature was performed in Springer, Science Direct, Google Scholar, PubMed, ACM, IEEE, and Scopus. An overview of CDSS which supports decision-making in breast cancer treatment is provided along with a critical appraisal of their benefits, limitations, and opportunities for improvement.
乳腺癌是女性中最常被诊断出的癌症,全球每年有超过210万例新诊断病例。个性化治疗对于优化乳腺癌患者的治疗结果至关重要。医学实践中的一项重大进展是引入临床决策支持系统(CDSS),以协助和支持医护人员进行临床决策,从而提高决策质量和整体患者护理水平,同时将成本降至最低。医疗环境中CDSS在乳腺癌护理中的使用和可用性正在增加。然而,特定CDSS的开发方式、所包含的信息、所推荐的决策以及在实践中的使用方式可能存在差异。本系统评价考察了各种CDSS,以确定它们在乳腺癌治疗决策方面的可用性、预期用途、医学特征和预期输出,临床实践中已知该领域存在不同程度的主观性。利用Kitchenham和Charter的方法,在Springer、Science Direct、谷歌学术、PubMed、ACM、IEEE和Scopus中对文献进行了系统检索。提供了支持乳腺癌治疗决策的CDSS概述,并对其益处、局限性和改进机会进行了批判性评估。