GIFT: a tool for generating free text reports from encoded data

被引:0
|
作者
Panzarasa, Silvia [1 ]
Quaglini, Silvana [2 ]
Pessina, Mauro [3 ]
Cavallini, Anna [4 ]
Micieli, Giuseppe [5 ]
机构
[1] UPIT, Consorzio Bioingn Informat Med, Via Ferrata 1, Pavia, Italy
[2] Univ Pavia, Dept Comp Sci Syst, Pavia, Italy
[3] TSD Project, Milan, Italy
[4] IRCCS Fdn C Mondino, Stroke Unit, Pavia, Italy
[5] IRCCS Humanitas, Rozzano, MI, Italy
关键词
Electronic Patient Record; Clinical Practice Guideline; Encoding; Natural Language Generation;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The benefits of the electronic patient record versus the traditional paper-based clinical chart have been widely illustrated in the medical informatics literature. However, hospital information systems are often used only to administrative purposes (admission/discharge) and most of the clinical information is still paper-based. There is a resistance of healthcare operators to shift from paper to computer, and there are many reasons for this behaviour, that will be discussed in the paper. One of these reasons, that is also the focus of our work, is that while formulating the data model, physicians are often fostered (by computer scientists) to reduce free text data. In other words, computerisation of the medical record is often offered as an opportunity to "encoding" information as much as possible, with the promise that this will facilitate further statistics and data sharing. However, in some cases physicians perceive this encoding as a constraint and a limitation. In this paper we discuss this issue and we illustrate a solution devised for a Stroke Unit.
引用
收藏
页码:152 / +
页数:3
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