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Evolving Role and Future Directions of Natural Language Processing in Gastroenterology.
Digestive Diseases and Sciences ( IF 2.5 ) Pub Date : 2020-02-27 , DOI: 10.1007/s10620-020-06156-y
Fredy Nehme 1 , Keith Feldman 2, 3
Affiliation  

In line with the current trajectory of healthcare reform, significant emphasis has been placed on improving the utilization of data collected during a clinical encounter. Although the structured fields of electronic health records have provided a convenient foundation on which to begin such efforts, it was well understood that a substantial portion of relevant information is confined in the free-text narratives documenting care. Unfortunately, extracting meaningful information from such narratives is a non-trivial task, traditionally requiring significant manual effort. Today, computational approaches from a field known as Natural Language Processing (NLP) are poised to make a transformational impact in the analysis and utilization of these documents across healthcare practice and research, particularly in procedure-heavy sub-disciplines such as gastroenterology (GI). As such, this manuscript provides a clinically focused review of NLP systems in GI practice. It begins with a detailed synopsis around the state of NLP techniques, presenting state-of-the-art methods and typical use cases in both clinical settings and across other domains. Next, it will present a robust literature review around current applications of NLP within four prominent areas of gastroenterology including endoscopy, inflammatory bowel disease, pancreaticobiliary, and liver diseases. Finally, it concludes with a discussion of open problems and future opportunities of this technology in the field of gastroenterology and health care as a whole.

中文翻译:

胃肠病学中自然语言处理的发展角色和未来方向。

与当前医疗保健改革的轨迹相一致,重点已放在改善临床相遇期间收集的数据的利用上。尽管电子病历的结构化领域为开展此类工作提供了便利的基础,但众所周知,相关信息的很大一部分都局限于记录护理的自由文本叙述中。不幸的是,从这样的叙述中提取有意义的信息是一项艰巨的任务,传统上需要大量的人工。如今,来自自然语言处理(NLP)领域的计算方法已准备好在医疗实践和研究中对这些文档的分析和利用产生重大影响,特别是在繁重的子学科中,例如胃肠病学(GI)。因此,该手稿为GI实践中的NLP系统提供了针对临床的综述。它从围绕NLP技术状态的详细概要开始,介绍了临床环境以及其他领域的最新技术方法和典型用例。接下来,它将提供有关NLP在肠胃镜,炎症性肠病,胰胆管疾病和肝病等四个胃肠病学领域当前应用的可靠文献综述。最后,本文总结了该技术在整个胃肠病学和医疗保健领域的开放性问题和未来机会。它从围绕NLP技术状态的详细概要开始,介绍了临床环境以及其他领域的最新技术方法和典型用例。接下来,它将提供有关NLP在肠胃镜,炎症性肠病,胰胆管疾病和肝病等四个胃肠病学领域当前应用的可靠文献综述。最后,本文总结了该技术在整个胃肠病学和医疗保健领域的开放性问题和未来机会。它从围绕NLP技术状态的详细概要开始,介绍了临床环境以及其他领域的最新技术方法和典型用例。接下来,它将提供有关NLP在肠胃镜,炎症性肠病,胰胆管疾病和肝病等四个胃肠病学领域当前应用的可靠文献综述。最后,本文总结了该技术在整个胃肠病学和医疗保健领域的开放性问题和未来机会。它将就胃肠道疾病在内窥镜,炎症性肠病,胰胆管疾病和肝病四个突出领域对NLP的当前应用进行全面的文献综述。最后,本文以对整个技术在胃肠病学和医疗保健领域的开放性问题和未来机会的讨论作为结尾。它将针对胃肠道病学的四个主要领域,包括内窥镜检查,炎症性肠病,胰胆管疾病和肝脏疾病,对NLP的当前应用进行全面的文献综述。最后,本文总结了该技术在整个胃肠病学和医疗保健领域的开放性问题和未来机会。
更新日期:2020-02-27
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