Over 140 RRT Healthcare Professionals Gather to Discuss Real-World Applications of AI in Clinical Settings

AITRICS (CEO Kwang Joon Kim), a company specializing in artificial intelligence(AI) technology announced on the 29th that it successfully held the '2025 Rapid Response System (RRS) Symposium' on July 26 at Banyan Tree Club & Spa Seoul. The event brought together healthcare professionals from across Korea to explore the evolving role of Rapid Response Teams (RRTs) and how AI technologies are being integrated into real-world clinical environments.

Held under the theme 'From Insight to Impact: Real AI in Action', the symposium gathered approximately 140 RRT-affiliated healthcare professionals from hospitals nationwide. Discussions focused on changes in the operation of RRTs and the application of the AI-powered patient deterioration prediction solution, AITRICS-VC (VitalCare).

Chaired by Seok Chan Kim (The Catholic University of Korea, Seoul ST. Mary’s Hospital), Jaehwa Cho(Gangnam Severance Hospital), and Yeonju Lee (Seoul National University Bundang Hospital), the symposium featured real-life case studies presented by RRT professionals and physicians from major hospitals across Korea.

In the first session, titled “Operational Shifts and Real-World Cases in Rapid Response Systems,” Professor Jaeyoung Moon of Chungnam National University Sejong Hospital’s Department of Critical Care Medicine, along with RRT nurses from Seoul National University Hospital and Seoul National University Bundang Hospital, delivered presentations. Professor Moon emphasized, “The role of RRTs is expanding, and it’s becoming increasingly important to predict emergencies early and allow for swift intervention by clinical staff. AI-based prediction tools can significantly support clinical decision-making.”

He added, “As medical AI rapidly evolves, it's crucial for clinicians to engage with these advancements and foster synergy between technology and care. Since the adoption of such tools can influence the patient-clinician relationship, efforts to build trust and enhance communication must go hand in hand.”

RRT nurses continued by sharing their core roles, operational practices, and tangible changes observed after adopting AI-based systems.

The second session, “Real-World Application of VitalCare in RRTs,” was led by Professor Jieun Park of Ajou University Hospital’s Pulmonology Department. She stated, “By combining AI-driven insights with clinical expertise, we’ve seen significant improvements in both efficiency and accuracy in critical care. Since adopting VitalCare, we've observed measurable improvements in patient outcomes and growing confidence among frontline staff.”

Professor Seokchan Kim, Chair of the Korean Society of Critical Care Medicine’s RRS Study Group, remarked, “This symposium provided a meaningful platform to discuss how RRS and AI technology are being implemented in practice. The evolution of RRS is not only enhancing patient safety but also represents a pivotal shift toward the early detection of clinical deterioration. AI prediction tools will continue to support clinical judgment and strengthen early intervention efforts.”

CEO Kwang Joon Kim of AITRICS added, “It was an incredibly valuable experience to engage directly with RRT clinicians and hear firsthand about their challenges and successes. We were able to reaffirm that VitalCare plays a meaningful role in clinical environments and that its medical value is being clearly validated. Moving forward, we will continue listening closely to voices from the field to enhance our products and evidence base, ultimately supporting safer, healthier outcomes for all patients.”

AITRICS’ VitalCare predicts deterioration events within general wards — including mortality, cardiac arrest, and ICU transfers within six hours — and was the first in Korea to predict sepsis within four hours. It also forecasts mortality in ICU patients within a six-hour window.

Currently deployed in over 130 hospitals in Korea, VitalCare is helping RRTs take proactive action. Multiple peer-reviewed studies have recently validated the solution’s clinical effectiveness and reliability, further reinforcing the value of AI in critical care environments.