Line-up for the i-to-i Innovation Hub 2025
The Medical Observation Engine (MOE) is an AI-driven hospital intelligence platform that proactively detects and prevents adverse events. Integrating computer vision, RPA, and expert systems, MOE unifies four modules – Vision, Cx, Clinic, and Environment – to monitor patients, predict risks, and optimize clinical safety. Designed for resource-limited settings, it enhances decision-making, reduces complications, and strengthens hospital resilience and sustainability.
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This hospital-born innovation addresses workforce shortages, healthcare disparities, and rising mental health needs through a partnership between hospitals and local pharmacies. Focused on patient empowerment and equitable access, it supports vulnerable patients via social workers and community collaboration. Led by an experienced clinical pharmacist, the pilot demonstrated sustainable, inclusive, and community-integrated care delivery.
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Researchers in Hong Kong developed the α-thalassaemia early eluting peak (αEEP) method using HPLC to replace labour-intensive microscopy for carrier screening. The αEEP achieved 99.6% sensitivity, 100% specificity, and 99.9% accuracy, reducing test time to 6 seconds and annual costs by over 98%, saving USD 370,000 while improving diagnostic precision and efficiency.
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“Always On Care” delivers ICU-level continuous monitoring to hospital wards, addressing low nurse-to-patient ratios and delayed responses. Using wearables, bedside connectivity, and real-time dashboards, it ensures 24/7 patient oversight and rapid intervention. The system enhances safety, reduces emergencies, and expands expert care to over 1,000 patients daily across 2,000 beds.
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An AI innovation that predicts heart ejection fraction from ECG images, enabling low-cost, non-invasive screening for heart failure in resource-limited Indian settings. Trained on over 119,000 ECG-echocardiogram pairs, it achieved 97% accuracy in detecting severe dysfunction. By analysing images instead of raw signals, it ensures accessibility, scalability, and strong clinical relevance nationwide.
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AMIT is an integrated clinical support platform that streamlines oncology nursing workflows by unifying data from five IT systems and applying rule-based protocols. It reduced treatment time by 58%, prevented 61 safety events, and cut fulminant sepsis by 37%. Nurses reported improved efficiency, confidence, communication, and patient flow, enhancing overall care quality.
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PediTales is an AI-driven, storytelling-based programme that enhances paediatric engagement and satisfaction. It uses culturally tailored, multilingual stories and real-time MoodBoard feedback to reduce anxiety and support caregivers. Delivered by healthcare teams and volunteers, it integrates storytelling across paediatric care, improving emotional wellbeing and community connection.
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The NSTRI Data Platform by Seoul National University Hospital enables secure global AI research through 10 pseudonymized Korean healthcare datasets. Using H100 GPUs, PubMedBERT, multilingual translation, and the HARI-Q2.5 LLM, it overcomes regulatory and language barriers, fostering collaborations with MIT and Harvard and positioning Korea as a leader in medical AI innovation.
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At Royal Hospital, staff hesitated to report incidents due to fear and lack of feedback. A new system made reporting safer and more meaningful through clear tools and shared learning. This improved safety culture, increasing reporting by 38%, reducing repeat events by 25%, and empowering staff to prevent errors.
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LifePulse is a health wallet app that unifies data from wearables, medical reports, and medication histories into one AI-driven platform. It predicts diseases, offers personalized insights, and integrates with EHR and HIMS. Designed for adaptability, it improves healthcare access and data privacy, especially in fragmented systems like Pakistan’s.
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The “Robo-Call Revolution” automates outpatient appointment management through an IVR-based system integrated with its Health Information System. Supporting multiple languages and repeat call attempts, it improves patient engagement, reduces administrative workload, and optimizes resources – offering a scalable, equitable solution for Pakistan’s diverse, resource-limited healthcare environment.
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This hospital developed sustainable surgical procedure packs to cut waste and costs while maintaining safety. By replacing disposables with reusable or recyclable items and optimizing contents through usage analysis, waste was reduced by over 85% (1,170 kg less). This data-driven, hospital-born innovation advances green, cost-effective, and scalable healthcare sustainability.
The BIVATEC-PV system is Qatar’s first vacuum-based kitchen waste management innovation, automating organic waste disposal through sealed vacuum lines for cleaner, safer, and more sustainable operations. It reduced waste volume by 80%, saved QAR 56,000, and improved hygiene and ergonomics. Aligned with Qatar’s Vision 2030, it sets a benchmark for sustainable hospital infrastructure.
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A comprehensive, cluster-wide digital transformation integrating five virtual services: multispecialty teleclinics, prisoner medical committee clinics, tele-stroke services, mental healthcare, and health education clinics. Originating during COVID-19, it is now embedded in daily operations spanning 15 hospitals and 154 centres, ensuring equitable, specialty-level access for over 2 million residents and millions of pilgrims.
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Mobile Clinics in Syria deliver essential, low-cost healthcare amid conflict and damaged infrastructure. Originating in Idlib’s refugee camps, they now operate across multiple cities, reaching vulnerable populations where hospitals are destroyed or inaccessible. Their flexibility overcomes financial and logistical barriers, ensuring vital medical and hygiene services in crisis-affected regions.
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The NUHS Holomedicine programme leverages mixed reality and 5G technology to transform clinical visualization and surgical precision. Using Microsoft HoloLens 2, it projects 3D holographic models of patient anatomy from medical imaging, reducing surgeons’ cognitive load and enhancing accuracy. Its successful clinical deployment demonstrates measurable benefits across multiple medical specialties.
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This project combines in situ simulation with HAZOP and Bow-Tie risk analysis to identify vulnerabilities and strengthen team resilience. By using real-world stress tests, it builds situational awareness, adaptability, and psychological safety, transforming risk management into a proactive, learning-focused approach that enhances patient safety and promotes a prevention culture.
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Cathay General Hospital in Taiwan introduced an RTLS-based Smart Bed Transport Management System to optimize patient transport and logistics. By integrating real-time locating with task management, it improved efficiency – cutting delivery time by 20.9%, search time by 86.8%, and achieving 100% punctuality – while reducing staff stress and enhancing satisfaction to 91.2%.
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The A+ Clinical Intelligent Navigator (HIS Copilot) is Asia’s first hospital-developed generative AI platform for multidisciplinary care and decision support. Integrating EHR, imaging, labs, and vitals, it generates clinical narratives in seconds, reduces workload by 80%, enhances safety, and supports multilingual communication. Recognized internationally, it exemplifies clinician-led, scalable, and safe AI innovation.
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The Inboxology Program, developed in a large Midwestern US health system, tackles post-pandemic digital workload and provider burnout from a 330% rise in patient messages. By creating “Inboxologists” and a tiered care team model, it cut in-basket volume by 40%, reduced workload by 35%, and improved response times and work–life balance – redefining sustainable, human-centred digital care delivery.
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Penn Medicine implemented Epic’s In Basket Augmented Response Technology (ART), powered by generative AI, to streamline patient portal communications. This innovation reduces administrative burden from message triage, chart reviews, and responses, easing cognitive load and burnout among healthcare providers, nurses, and staff while enhancing communication efficiency across the University of Pennsylvania Health System.
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