As the innovation of Artificial Intelligence (AI) is robustly developed in the healthcare sector, concerns related to both utilization and implementation are arising.

In Korea, the cost required for AI utilization in medical institutions is considered the number one priority for discussion. Additionally, 'awareness' has also been brought to attention recently.

In this context, Philips Korea recently launched the "Future Health Index 2025 Korea Report,' highlighting the issue of building 'trust.'

According to the report, 86% of the healthcare professionals answered that healthcare AI will improve the medical field, whereas only 60% of the patients responded positively. This indicates a trust gap over 26%.

For instance, answers such as 'AI enhances work efficiency' and 'patients still have concerns' suggest that there are conflicting responses.

In this regard, the hospital cases presented by Dr. Kim Eun-kyung, Director of Yongin Severance Hospital at Yonsei University, are worth considering.

Since its opening, Yongin Severance Hospital has advocated for an AI-based digital hospital. The use of AI in healthcare has shown promising results through various applications, including assisting with chest X-ray interpretation, tracking the movements of infected individuals, and enabling digital pathology and voice-recognized medical records.

Notably, tracing contacts in just 10 minutes, a task that previously took half a day for infection control, truly demonstrates the value of AI.

However, there is a recurring concern. "The irony of needing to hire more people to support a digital system that's supposed to be for people."

This is because integrating AI into systems like EMRs (Electronic Medical Records) is a costly endeavor. There's also the administrative burden of obtaining patient consent repeatedly. Although there is a designation of Innovative Medical Technology group, its procedures and costs are often criticized for hindering progress.

The fundamental issue lies in the regulatory framework. While healthcare professionals agree that AI is helpful, there's a lack of clarity regarding legal responsibility.

The question of who is liable for a misdiagnosis made by AI has not been clearly defined. A report found that 74% of Korean healthcare professionals expressed concern about this issue.

The key discussion surrounding AI ultimately narrows down to 'trust'. The core challenge is not just the technical performance of AI, but how regulations and systems can support it. This includes the implicit guarantee of government financial support.

For patients, transparent explanations and safety nets are essential. Healthcare professionals require clear rules of liability and cost compensation, and companies need a sustainable policy.

The speed of technology is already sufficient. Now, it's time for a framework that can institutionally support trust to follow suit. For innovation to be implemented, regulations must be able to keep up. It is essential to consider how to enable AI to fulfill its inherent role of providing efficiency and allowing for the reinvestment of human resources.