JMIR Publications

ABSTRACT

Background:

There is no doubt that the recent surge in AI research will change the trajectory of next-generation healthcare, making it more approachable and accessible to patients. Therefore, it is critical to research patient perceptions and outcomes because this trend will allow patients to be the primary consumers of health technology and decision makers for their own health.

Objective:

In this study, we aim to review and analyze patients in AI-based consumer health informatics for successful future patient-centered care.

Methods:

We searched for all peer-reviewed articles in PubMed published in English before July 2022. Any research on AI based-consumer health informatics tool or system that reports patient outcomes or perceptions were identified for the scoping review.

Results:

We identified 20 papers that met our inclusion criteria. The eligible studies were summarized and discussed with respect to the role of AI-based CHI system, patient outcomes, and their perceptions. The AI-based CHI systems identified included systems in mHealth (n = 13), robotics (n = 5), and telemedicine (n = 2). All systems aimed to provide patients with personalized healthcare. Patient outcomes and perceptions across various clinical disciplines were discussed, demonstrating the potential of an AI-based CHI system to benefit patients.

Conclusions:

This scoping review showed the trend in AI based-CHI systems and their impact on patient outcomes as well as patient perceptions of these systems. Future studies should also explore how clinicians and healthcare professionals perceive these consumer-based systems and integrate them into the overall workflow.