Case study Smart Hospital : How Bangkok Hospital Cut Wait Times 59% with an AI Patient Management System

⭐️ Reduction in Wait-Time: Average wait time decreased by ⬇️ 59%

⭐️ Increase in Utilization Rate: Patient service capacity increased by ⬆️ 15%

⭐️ Patient Satisfaction (CSI): Client satisfaction score 😊 4.7/5

⭐️ Staff Satisfaction: Staff satisfaction increased by ⬆️ 52%

Introduction

Bangkok Hospital Headquarters, a leading medical service provider in Thailand for over 50 years with JCI global standard accreditation, has elevated the health check-up experience to the next level at its premier Health Design Center (HDC). Serving over 200-400 clients daily with more than 70 complex and individually tailored health check-up packages, efficient queue management is essential to ensure every patient receives the fastest and smoothest service possible. By implementing the AI Smart Patient Management technology from Agnos, HDC has been able to transform the challenge of complex queue management into a seamless and efficient experience for both patients and staff, aiming to become a fully-fledged Smart Hospital.

The Challenge

Bottlenecks, Complexity, and a Lack of Overall Visibility in Traditional Queue Management

Before the implementation, the Health Design Center (HDC) faced significant challenges in managing patient check-up queues:

• Complex Procedures: Dr. Kewalin Rungsinaporn, Director of the Health Design Center, explained, "With over 200 patients a day, each with diverse and unique check-up sequences, a traditional linear queuing system (1-2-3) was inefficient."
• Bottlenecks and Disrupted Flow: The manual system, which relied on staff and paper "Order slips," created bottlenecks at various examination rooms. Suthanut Hangkeaw (Head Nurse) noted, "We encountered congestion and bottlenecks between stations." Dr. Kewalin added, "Each staff member focused only on their own section, lacking a view of the entire department, which made the flow unsmooth."
• Previous Solutions Were Inadequate: HDC had attempted to implement queue systems from several companies without success due to the process's complexity, which standard systems couldn't handle. This made the team hesitant to adopt a new system.

The goal: a holistic, intelligent system that could manage complexity, give full visibility, and flexibly allocate queues — reducing wait times and improving the patient experience.

The Solution: An AI Co-Pilot for Smart Queue Management

HDC partnered with Agnos to deploy the AI Smart Patient Management System, which goes beyond first-come, first-served queuing to optimize resources and patient flow.

Key Features

• AI Co-pilot for Next Exam Recommendation
  The AI system acts as a co-pilot for staff, processing a patient's entire list of tests, waiting times at each station, appointment times, and clinical priorities. It then recommends the optimal examination sequence and designs the fastest route for each patient, effectively distributing them to available stations and minimizing bottlenecks.

For example, Dr. Kewalin states, "If a patient needs an ultrasound but isn't ready, the AI will send them to another available test first and have them return later, preventing unproductive waiting."

• AI-Powered Wait-Time Estimation and Real-Time Status Updates
  The system displays wait times, queue status, and notifications, keeping clients informed about their progress, where to go next, and the estimated waiting duration. Using AI for processing, it provides more than just the number of people in line, allowing clients to manage their time effectively. The system also caters to clients without mobile phones through TV display screens within the department and sends alerts via the hospital's application or LINE OA.

• Overall Patient & Resource Management Dashboard
  The management team can view a real-time overview of the entire department's patient flow. This dashboard shows high-traffic areas, allowing staff to redirect patients to other tests or less congested zones instantly. The AI also suggests ways to optimize resource management. "This has significantly improved our flow management," and allows for viewing a utilization health map of rooms and equipment, leading to better resource allocation.
• Digital Questionnaire for Reduced Steps and Increased Convenience
  Patients complete health info online before arrival. AI suggests tailored packages and links data to prior health records — saving time and paperwork.
  

Results

Exceeding Expectations and Setting a New Standard of Service

The implementation of the AI Smart Patient Management system yielded positive impacts across the board—for the organization, frontline staff, and clients.

KPI Highlights:

⭐️ Reduction in Wait-Time: Average wait time decreased by ⬇️ 59%

⭐️ Increase in Utilization Rate: Patient service capacity increased by ⬆️ 15%

⭐️ Patient Satisfaction (CSI): Client satisfaction score 😊 4.7/5

⭐️ Staff Satisfaction: Staff satisfaction increased by ⬆️ 52%

Improved Operational Efficiency

Bottlenecks were significantly reduced, and queue distribution became much smoother. This is reflected in the 15% increase in the utilization rate, meaning the center can now handle 15% more patients with the same resources. The 59% reduction in patient wait times is a testament to the system's effectiveness. The AI streamlined communication; staff no longer needed to track down queue cards or routing slips to see where a patient was or how long they had been waiting. All this information became accessible in a single step.

Enhanced Patient Experience

Client surveys confirm high satisfaction levels with the new system:

• Information Score: 4.7/5: This top score indicates that patients felt well-informed throughout the process via real-time notifications, which greatly reduced anxiety.
• Time Satisfaction: 4.6/5: This reflects high patient satisfaction with the faster overall time management.
• Recommendation Score: 9/10: patients were highly satisfied and willing to recommend the service.
  
  

Feedback from Real Clients:

"Having an app that shows the status and steps of the examination helps a lot with understanding. I didn't feel anxious... Overall, the service has improved significantly compared to all previous visits."

"I love the web page that shows my progress. Very impressive."

"The tracking system is excellent. I'd like to see further development in the mobile app."

Furthermore, clients offered constructive suggestions for minor improvements, such as, "Staff could remind clients to check the queue screens and their phones to increase convenience and reduce confusion," confirming that patients have become active partners in the development process. In summary, the overwhelming patient consensus is that "the service has improved significantly compared to all previous visits," which is the ultimate proof of this project's success.

Positive Shift in Frontline Team Attitude and Collaboration

The change not only benefited patients but also had a massive positive impact on the staff. An internal survey showed a 52% increase in staff satisfaction, driven by the Agnos system's ability to solve problems and improve workflows in four key areas:

1. Real-time Patient Tracking & Visibility: "Being able to check a patient's location and what test they are waiting for immediately helps us answer relatives' questions quickly and accurately." "It's great because finding patients is much easier than with the manual system."
2. Efficient Queue & Flow Management: "It helps manage the queue better and distribute tests more evenly." "We can sequence the queue and re-prioritize if there's an urgent case."
3. Fast and Accurate Communication: "We can answer client questions faster, like locating a relative or giving an estimated wait time." "Patients can check their own queue."
4. Elevating to a Systematic Workflow: "It's great! The queue moves much faster, we know the patient's status instantly, and problems can be solved more quickly." "The service for clients is more continuous and systematic than before."

Reflecting on the successful adaptation to the new workflow, Dr. Kewalin Rungsinaporn attributed it to close collaboration: “We talked with the Agnos team constantly, almost daily. When issues arose, they quickly took our feedback and made adjustments, which was a key factor in our success.”

Future Opportunities

The success in managing the complex queues at the Health Design Center has proven the system's potential and created opportunities to expand this solution into a fully Smart Checkup service and, eventually, a hospital-wide Smart OPD.

“The results exceeded our expectations because the hospital's patient flow is incredibly complex. If the technology from Agnos can handle this complexity, it can be expanded to other centers within the hospital in the future.” — Dr. Somrit Jantarapratin, Deputy Group Chief Information Officer, Bangkok Hospital Group 1.

Concluding Thoughts on Collaborating with the Agnos Team

“I am very impressed with Agnos team... from the very beginning when they came to gather requirements... they spent several days with us, capturing every detail. Whenever there was an issue, they took our feedback and used it to develop and make improvements, and the adjustments were made very quickly.” — Dr. Kewalin Rungsinaporn, Director, Health Design Center.

✨ — Success doesn’t come in a single day. With AI Smart Patient Management, HDC set a new benchmark for seamless, patient-centered healthcare. —

This success proves that Agnos AI can effectively manage the complexities of a hospital and is ready for expansion into a hospital-wide Smart OPD. This is a Smart Hospital case study demonstrating that when AI technology is implemented strategically in hospitals, it not only helps to reduce wait times and increase efficiency, but can also create a lasting positive impression and sustainably elevate the standard of medical services in Thailand.

Ready to revolutionize your patient experience? Inquire for more information at Agnos business contact form (clickup.com)