Abstract
Patient-reported outcomes (PROs) and their use in the clinical workflow can improve cancer survivors’ outcomes and quality of life. However, there are several challenges regarding efficient collection of the patient-reported outcomes and their integration into the clinical workflow. Patient adherence and interoperability are recognized as main barriers. This work implements a cancer-related study which interconnects artificial intelligence (spoken language algorithms, conversational intelligence) and natural sciences (embodied conversational agents) to create an omni-comprehensive system enabling symmetric computer-mediated interaction. Its goal is to collect patient information and integrate it into clinical routine as digital patient resources (the Fast Healthcare Interoperability Resources). To further increase convenience and simplicity of the data collection, a multimodal sensing network is delivered. In this paper, we introduce the main components of the system, including the mHealth application, the Open Health Connect platform, and algorithms to deliver speech enabled 3D embodied conversational agent to interact with the cancer survivors in five different languages. The system integrates cancer patients’ reported information as patient gathered health data into their digital clinical record. The value and impact of the integration will be further evaluated in the clinical study.
Highlights
Patient-reported outcomes (PROs) are a type of patient-gathered health data (PGHD), collected from patients to help address a health concern [1]
The multimodal sensing network (MSN) and open health connect (OHC) represent the main services of the system
We have represented a holistic approach towards sustainable collection of PGHD and PROs and their efficient integration into clinical workflow
Summary
Patient-reported outcomes (PROs) are a type of patient-gathered health data (PGHD), collected from patients to help address a health concern [1]. Since they represent self-reports from every-day life, PROs are an interesting data source in healthcare due to their usage for improving patients’ experience, quality of life, and participation of the patient in the clinical workflow [2]. Given the overall technological advances of the era, patient outcomes were collected mostly face-to-face, using paper-written forms. Those forms were added to paper-form health records (HRs). 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 [19,20]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
