Company Name:
Cuberlab Sdn Bhd (1273662-H / 201801011646)
Sector
Digital Content, Digital Health
Tech Enabler
Creative Media Technology including Extended Reality (XR)/ Mixed Reality (MR), Artificial Intelligence (AI) and/or Big Data Analytics (BDA)
Support Sustainability or ESG
Yes
Overview:
The use case addresses challenges in maintaining medical devices, such as complex troubleshooting, skill gaps, and time delays. Augmented Reality (AR) with AI assists technicians in real-time by overlaying step-by-step guidance, predictive maintenance, and remote expert support. RADIBEMS successfully deployed this solution, enhancing efficiency, reducing downtime, and improving accuracy in medical device maintenance in hospitals.
Pain Points:
The use case addresses several critical challenges in medical device MRO for hospitals:
- Complex Maintenance Procedures: Medical devices often require intricate repairs that demand high technical expertise. Technicians face difficulties diagnosing issues accurately and quickly.
- Skill Gaps and Training: A shortage of skilled technicians and long training periods hinder maintenance efficiency. Hospitals struggle to ensure consistent performance across the workforce.
- Downtime and Delays: Extended equipment downtime due to slow diagnostics or repair processes impacts patient care and operational efficiency.
- Compliance and Documentation: Strict regulatory requirements demand accurate and thorough documentation during MRO activities, adding complexity to the process.
Solution/Services:
Our Augmented Reality (AR) with AI solution addresses the identified challenges by providing real-time, guided instructions and visual overlays to assist technicians during complex maintenance tasks. AI-powered diagnostics predict potential issues, enabling preventive maintenance and reducing downtime. The AR interface also streamlines technician training, bridging skill gaps by offering step-by-step support, while automating compliance through instant documentation and reporting. This ensures faster, more accurate repairs, improving overall operational efficiency in MRO.
Key Features and Functionalities
- AR Vuforia is an Augmented Reality (AR) with AI solution designed to capture and share expert knowledge with frontline workers.
- Knowledge Capture: Experienced technicians or experts use AR headsets (like Microsoft HoloLens) to record maintenance, repair, or operational procedures while performing them in real-time. The tool captures video, audio, and contextual data.
- Step-by-Step Guidance: The recorded process is transformed into AR content, which provides visual and audio instructions that can be replayed by other workers on AR devices, tablets, or mobile phones.
- Real-Time Support: Workers can follow expert guidance, pause, replay, or receive additional help remotely, ensuring accurate task completion.
- Cloud based
Implementation:
- The solution was integrated into RADIBEMS' existing infrastructure by overlaying Augmented Reality (AR) tools onto their maintenance operations. Technicians accessed the AR interface via smart glasses or tablets connected to AR cloud-based AI for predictive maintenance and diagnostics.
- Technology used: Microsoft HoloLens 2, AR with AI-driven diagnostic tools with real-time data collection, and a cloud platform for data processing.
Benefit:
This is an ongoing project for 1 year till Dec 2025. Accurate data is still in compilation.
- Increased Efficiency: Technicians resolve issues 20–30% faster using real-time AR guidance, reducing downtime and improving medical device availability.
- Enhanced Productivity: Skill gaps are bridged with on-demand training, leading to 15-25% more repairs handled daily without additional staffing.
- Cost Savings: Predictive maintenance lowers repair costs by 10%-20% through early fault detection and reduced equipment failures.
- Compliance and Documentation: Automated reports ensure 80-100% compliance with regulatory standards, improving audit readiness.
- Improved Accuracy: AR-guided repairs reduce human error by 10-15%, enhancing the reliability of medical devices.
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