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Research Article

Human Computer Interaction Applications in Healthcare: An Integrative Review

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  • @ARTICLE{10.4108/eetpht.9.4186,
        author={Ritunsa Mishra and Rabinarayan Satpathy and Bibudhendu Pati},
        title={Human Computer Interaction Applications in Healthcare: An Integrative Review},
        journal={EAI Endorsed Transactions on Pervasive Health and Technology},
        volume={9},
        number={1},
        publisher={EAI},
        journal_a={PHAT},
        year={2023},
        month={10},
        keywords={Human Computer Interaction, HCI, Explainable-AIML, x-AIML, Electronic Health Record, EHR, Web Browser, Smartphone Technologies},
        doi={10.4108/eetpht.9.4186}
    }
    
  • Ritunsa Mishra
    Rabinarayan Satpathy
    Bibudhendu Pati
    Year: 2023
    Human Computer Interaction Applications in Healthcare: An Integrative Review
    PHAT
    EAI
    DOI: 10.4108/eetpht.9.4186
Ritunsa Mishra1,*, Rabinarayan Satpathy1, Bibudhendu Pati2
  • 1: Sri Sri University
  • 2: Rama Devi Women's University
*Contact email: ritunsa.m2021-22ds@srisriuniversity.edu.in

Abstract

INTRODUCTION: Human computer interaction (HCI) interprets the design model and the uses of computer technology which focuses on the interface between the user and the computer. HCI is a very important factor in the design of software-oriented decision-making ideas in health-care organizations and also it assists in accurate detection of image, disease including safety of the patients. OBJECTIVES: There are some pitfalls arises over some previous works on cloud based HCI applications. For that reason, to masafety, patient’s safety we wanted to work on explainable artificial intelligence (x-AI) and human intelligence in conjunction with HCI in various fields and algorithms to pro-vide transparency to the user. This may also use some web-based technologies and digital platforms with HCI for development of quality, safety and usability of the patients. METHODS: The purpose of this study about the communication between the HCI design and healthcare system through client and apply that method to the information system of Healthcare department to analyse the functions, effects and outcomes. RESULTS: The integration of explainable artificial intelligence (x-AI) and human intelligence with Human-Computer Interaction (HCI) demonstrated promising potential in enhancing patient safety and optimizing healthcare processes.     CONCLUSION: By leveraging web-based technologies and digital platforms, this study established a framework for improving the quality, safety, and usability of healthcare services through effective communication between HCI design and healthcare systems.

Keywords
Human Computer Interaction, HCI, Explainable-AIML, x-AIML, Electronic Health Record, EHR, Web Browser, Smartphone Technologies
Received
2023-07-05
Accepted
2023-10-10
Published
2023-10-20
Publisher
EAI
http://dx.doi.org/10.4108/eetpht.9.4186

Copyright © 2023 R. Mishra et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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