SeVA: An AI solution for age friendly care of hospitalized older adults

Chongke Wu, Jeno Szep, Salim Hariri, Nimit K. Agarwal, Sumit K. Agarwal, Carlos Nevarez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

As a dangerous syndrome, delirium affects more than 50% of hospitalized older adults and has an economic burden of 164 billion US dollars per year. It is crucial to prevent, identify and treat this syndrome systematically on all hospitalized patients to prevent its short and long-term complications. Currently, there are no AI-based tools being utilized at a large scale focused on delirium management in hospital settings. The advancement of the Internet of Things in the medical arena can be leveraged to help clinical teams managing the care of patients in the hospital. The renaissance of Artificial Intelligence brings the chance to analyze a large amount of monitoring data. Deep neural networks like Convolutional Neural Network and Recurrent Neural Network revolutionize the fields of Computer Vision and Natural Language Processing. Deep learning tasks like action recognition and language understanding can be incorporated into the routine workflow of healthcare staff to improve care. By leveraging AI and deep learning techniques, we have developed a chatbot based monitoring system (that we refer to as SeVA) to improve the workload of the medical staff by using an Artificial Emotional Intelligence platform. The SeVA platform includes two mobile applications that provide timely patient monitoring, regular nursing checks, and health status recording features. We demonstrate the current progress of deploying the SeVA platform in a healthcare setting.

Original languageEnglish (US)
Title of host publicationHEALTHINF 2021 - 14th International Conference on Health Informatics; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021
EditorsCatia Pesquita, Ana Fred, Hugo Gamboa
PublisherSciTePress
Pages583-591
Number of pages9
ISBN (Electronic)9789897584909
StatePublished - 2021
Event14th International Conference on Health Informatics, HEALTHINF 2021 - Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021 - Virtual, Online
Duration: Feb 11 2021Feb 13 2021

Publication series

NameHEALTHINF 2021 - 14th International Conference on Health Informatics; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021

Conference

Conference14th International Conference on Health Informatics, HEALTHINF 2021 - Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021
CityVirtual, Online
Period2/11/212/13/21

Keywords

  • Artificial Intelligence
  • Chatbot
  • Delirium
  • Healthcare
  • Internet of Things
  • Patient Monitoring

ASJC Scopus subject areas

  • Biomedical Engineering
  • Electrical and Electronic Engineering

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