Standard

Multimodal Intelligent Assistants for Automating the Patient Intake Process and Primary Care. / Chizhik , Anna V. ; Egorov , Michil .

ICEGOV '22: Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance. 2022. p. 573–575.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Harvard

Chizhik , AV & Egorov , M 2022, Multimodal Intelligent Assistants for Automating the Patient Intake Process and Primary Care. in ICEGOV '22: Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance. pp. 573–575, 15th International Conference on Theory and Practice of Electronic Governance, Portugal, 4/10/22. https://doi.org/10.1145/3560107.3560199

APA

Chizhik , A. V., & Egorov , M. (2022). Multimodal Intelligent Assistants for Automating the Patient Intake Process and Primary Care. In ICEGOV '22: Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance (pp. 573–575) https://doi.org/10.1145/3560107.3560199

Vancouver

Chizhik AV, Egorov M. Multimodal Intelligent Assistants for Automating the Patient Intake Process and Primary Care. In ICEGOV '22: Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance. 2022. p. 573–575 https://doi.org/10.1145/3560107.3560199

Author

Chizhik , Anna V. ; Egorov , Michil . / Multimodal Intelligent Assistants for Automating the Patient Intake Process and Primary Care. ICEGOV '22: Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance. 2022. pp. 573–575

BibTeX

@inproceedings{e9bc81e6fd0d41a283628a0b046a36dd,
title = "Multimodal Intelligent Assistants for Automating the Patient Intake Process and Primary Care",
abstract = "This paper introduces the methods to build intelligent multimodal assistants for medical purposes. In the experimental implementation of the bot, the authors use logistic regression and simple word embeddings models. But the experimental implementation shows the ability to combine empathic conversation with AI (without a specific goal) and functionality (satisfying the conceptual intent of the user) to maintain the patient's motivation to use such applications for a quick and useful response from the clinic. In the future, it is planned to develop a universal chatbot for health monitoring and routine communication with patients based on insights received from users.",
author = "Chizhik, {Anna V.} and Michil Egorov",
year = "2022",
doi = "10.1145/3560107.3560199",
language = "English",
pages = "573–575",
booktitle = "ICEGOV '22: Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance",
note = "null ; Conference date: 04-10-2022 Through 07-10-2022",
url = "https://www.icegov.org/",

}

RIS

TY - GEN

T1 - Multimodal Intelligent Assistants for Automating the Patient Intake Process and Primary Care

AU - Chizhik , Anna V.

AU - Egorov , Michil

PY - 2022

Y1 - 2022

N2 - This paper introduces the methods to build intelligent multimodal assistants for medical purposes. In the experimental implementation of the bot, the authors use logistic regression and simple word embeddings models. But the experimental implementation shows the ability to combine empathic conversation with AI (without a specific goal) and functionality (satisfying the conceptual intent of the user) to maintain the patient's motivation to use such applications for a quick and useful response from the clinic. In the future, it is planned to develop a universal chatbot for health monitoring and routine communication with patients based on insights received from users.

AB - This paper introduces the methods to build intelligent multimodal assistants for medical purposes. In the experimental implementation of the bot, the authors use logistic regression and simple word embeddings models. But the experimental implementation shows the ability to combine empathic conversation with AI (without a specific goal) and functionality (satisfying the conceptual intent of the user) to maintain the patient's motivation to use such applications for a quick and useful response from the clinic. In the future, it is planned to develop a universal chatbot for health monitoring and routine communication with patients based on insights received from users.

U2 - 10.1145/3560107.3560199

DO - 10.1145/3560107.3560199

M3 - Conference contribution

SP - 573

EP - 575

BT - ICEGOV '22: Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance

Y2 - 4 October 2022 through 7 October 2022

ER -

ID: 103630790