{"title":"NLP chatbot for Discharge Summaries","authors":"Harsh Lal, Priyanshu Lal","doi":"10.1109/ICCT46177.2019.8969045","DOIUrl":null,"url":null,"abstract":"One of the most important goals in health-care is improving the quality of health and service rendered by healthcare industry. There has been a growing demand for ease of access to health-care, and this necessitates the development of health-care technology with Human Computer Interaction(HCI) design in mind. HCI usage can help both patients and healthcare providers as well [3]. With a wealth of information available to patients and providers, it can be difficult to find relevant information in a timely manner, especially for providers with busy schedules and patients with limited health literacy. We propose a Human Computer Interaction system that can answer patientś question and help improve the quality of health-care services provided to an individual. We make use of Natural Language Processing, Machine Learning and Big Data technologies to provide a feasible deploy-able solution. for the same.","PeriodicalId":118655,"journal":{"name":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT46177.2019.8969045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
One of the most important goals in health-care is improving the quality of health and service rendered by healthcare industry. There has been a growing demand for ease of access to health-care, and this necessitates the development of health-care technology with Human Computer Interaction(HCI) design in mind. HCI usage can help both patients and healthcare providers as well [3]. With a wealth of information available to patients and providers, it can be difficult to find relevant information in a timely manner, especially for providers with busy schedules and patients with limited health literacy. We propose a Human Computer Interaction system that can answer patientś question and help improve the quality of health-care services provided to an individual. We make use of Natural Language Processing, Machine Learning and Big Data technologies to provide a feasible deploy-able solution. for the same.