AutoMW: Model-based Automated Medical Writing

被引:0
|
作者
Rajbhoj, Asha [1 ]
Pathan, Ajim [1 ]
Sant, Tanay [1 ]
Kulkarni, Vinay [1 ]
Nistala, Padmalata [2 ]
Pandey, Rajesh [3 ]
Narasimhan, Sabarinathan [3 ]
Thiagarajan, Geetha [4 ]
机构
[1] Tata Consultancy Serv, TCS Res, Pune, Maharashtra, India
[2] Tata Consultancy Serv, Hyderabad, India
[3] Tata Consultancy Serv, Mumbai, Maharashtra, India
[4] Tata Consultancy Serv, Jersey, NJ USA
来源
27TH INTERNATIONAL ACM/IEEE CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS, MODELS | 2024年
关键词
MDE; Medical Writing; Automated Content Generation; NLP; Clinical Trial Documentation;
D O I
10.1145/3640310.3674096
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Medical Writing is an art of writing scientific documents which includes regulatory and research-related content. To obtain approval for marketing new medicines, pharmaceutical companies are obligated to provide drug authorities with a huge volume of documents related to clinical trials. Creating these clinical trial documents is a time, effort, and skill-intensive process as the required information exists in fragmented form distributed across various information sources. To overcome these challenges in medical writing, we propose Automated Medical Writing tool (AutoMW). AutoMW enables the digitalization of information from different sources of information using a meta-model-based approach and leverages these models for the automated generation of clinical trial documents as per the regulatory authority document templates. This paper describes the approach and illustrates its utility and efficacy in real-world clinical trial application of two use cases - breast cancer, and diabetes.
引用
收藏
页码:257 / 267
页数:11
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