# Understanding the Risks and Benefits of Implementing AI-Enabled Remote Patient Monitoring Systems for Disease Management

## TL;DR

This paper discusses how to manage risks and benefits of AI-based remote patient monitoring to improve healthcare while ensuring safety.

## Contribution

The paper introduces the concept of optimal risk for guiding policy on AI-enabled remote patient monitoring systems.

## Key findings

- AI and ML can improve healthcare accessibility and efficiency.
- Policymakers should use the optimal risk framework to balance safety and innovation.

## Abstract

Effectively managing risk is essential for fostering innovation in healthcare, especially with advancements like artificial intelligence (AI) and machine learning (ML). These technologies aim to enhance accessibility, efficiency, and equity in healthcare delivery. To assess the practical utility of AI-enabled remote patient monitoring (RPM) devices, it is crucial to identify and evaluate associated risks while distinguishing between acceptable risk, which society tolerates, and optimal risk, which balances risk reduction costs with benefits. This paper outlines how policymakers should adopt the framework of optimal risk to ensure patient safety while maximizing the advantages of these technologies.