Multilingual Chatbots to Collect Patient-Reported Outcomes

Author:

Rojc Matej,Ariöz Umut,Šafran Valentino,Mlakar Izidor

Abstract

With spoken language interfaces, chatbots, and enablers, the conversational intelligence became an emerging field of research in man-machine interfaces in several target domains. In this paper, we introduce the multilingual conversational chatbot platform that integrates Open Health Connect platform and mHealth application together with multimodal services in order to deliver advanced 3D embodied conversational agents. The platform enables novel human-machine interaction with the cancer survivors in six different languages. The platform also integrates patients’ reported information as patients gather health data into digital clinical records. Further, the conversational agents have the potential to play a significant role in healthcare, from assistants during clinical consultations, to supporting positive behavior changes, or as assistants in living environments helping with daily tasks and activities.

Publisher

IntechOpen

Reference67 articles.

1. National Health Council. What are Clinician-Reported Outcomes (ClinROs)? National Health Council. 2019. Available online: https://nationalhealthcouncil.org/coa-series-what-are-clinician-reported-outcomes-clinros/ [Accessed: June 19, 2021]

2. Health IT, Office of the National Coordinator for Health Information Technology (ONC), US Department of Health Human Services. What are patient-generated health data?. Available online: http://healthit.gov/topic/otherhot-topics/what-are-patientgenerated-health-data [Accessed: October 15, 2019]

3. Fauzana N, Gulcharan BI, Azhar MA, Daud H, Mohd NN, Taib I. Integrating emerging network technologies to heart rate monitoring system to investigate transmission stability and accuracy: Preliminary results. International Journal of Electrical Engineering Computer Science (EEACS). 2021;3:21-22

4. Sawssen B, Okba T, Noureeddine L. A mammographic images classification technique via the Gaussian radial basis kernel ELM and KPCA. International Journal of Applied Mathematical Computer Science and System Engineering. 2020;2:92-98

5. Zheng Q , Yang L, Zeng B, Li J, Guo K, Liang Y, et al. Artificial intelligence performance in detecting tumor metastasis from medical radiology imaging: A systematic review and meta-analysis. EClinical Medicine. 2021;31:100669

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