Open AccessMultilingual Conversational Systems to Drive the Collection of PROs and Integration into Clinical Workflow
Author(s) -
Daniel Hari,
Valentino Šafran,
Umut Ariöz,
Izidor Mlakar,
Matej Rojc,
Gazihan Alankuş,
Rafael Pérez Luna
Publication year - 2021
Publication title -
wseas transactions on biology and biomedicine
Language(s) - English
Resource type - Journals
eISSN - 2224-2902
pISSN - 1109-9518
DOI - 10.37394/23208.2021.18.13
Subject(s) - workflow , interoperability , computer science , process (computing) , health care , process management , world wide web , multimedia , database , engineering , economics , economic growth , operating system
Collection of patient-reported outcomes (PROs) remotely and their usage in the clinical workflow provide an improvement on both patient’s quality of life and cancer care. However, adoption of collecting PROs into the clinical workflow is rare, and existing works still have a lot of issues providing a holistic approach. This paper offers enhancements in the process of collecting PROs by utilization of conversational systems that still provide quite a new but promising way to collect PROs remotely with spoken interaction. Our proposed system provides an interoperability with Fast Healthcare Interoperability Resources (FHIR) server by using a multimodal sensing network (MSN) prepared for the project PERSIST. We introduce components of multimodality while collecting PROs with the help of the mHealth App and Open Health Connect (OHC) platform. As a result, chatbots and 3D embodied conversational agents (ECA) were prepared to interact with the cancer patients in 5 different languages. The intercommunication was provided by MSN and the integration of cancer patients’ PROs into clinical workflow was satisfied. This study was part of a Horizon 2020 project and a preparation phase for clinical trials with cancer patients and clinicians