Opening Address - Singapore's HealthTech Regulation: Balancing Innovation and Safety

Prof Raymond Chua, Chief Executive - Health Sciences Authority, Deputy Director General of Health, Health Regulation – Ministry of Health Singapore  

Key Takeaways

• Regulatory evolution: HSA has adopted a regulatory reliance model, leveraging approvals from trusted global agencies to streamline registration processes without compromising safety. 

• Collaborative approach: Regulation is viewed as a partnership, with active industry engagement through initiatives like the Change Management programme for AI and software medical devices. 

• AI leadership: Singapore pioneered tailored regulatory guidelines for AI in medical devices, continually refining these to match technological advancements. 

• Cybersecurity emphasis: The introduction of the world's first Cybersecurity Labelling Scheme for Medical Devices demonstrates Singapore's commitment to addressing emerging tech risks. 

• Global harmonisation: HSA is driving regulatory convergence through international partnerships, positioning Singapore as a trusted hub for HealthTech innovation and investment. 

Opening keynote presentation –  Strategic Vision of How GenAI Will Unlock an Unprecedented Transformation in Healthcare  

Victoria Lee – Change Architect & Digital Transformation Strategist – Johns Hopkins, U.S.A 

Key Takeaways

• Data as the new currency: Healthcare produces 30% of the world's total data volume 

• By 2025, healthcare data production will reach between 2,300 to 10,800 exabytes 

• Agentic AI emerges as a game-changer, offering continuous, infinite, and autonomous capabilities 

• The healthcare workforce needs reimagining, not just recruitment and retention 

• Public activation is crucial for shifting from a paternalistic model to proactive wellness 

• Digital twins and quantum computing hold promise for precision medicine 

• AI can potentially outperform humans in building rapport and treatment relationships 

• The transformation extends beyond clinical care to the entire healthcare ecosystem 

• Challenges include data quality, implementation costs, and regulatory issues 

• Equitable outcomes and trust-building are critical considerations 

Keynote Presentation - Assets to Power GenAI in Today’s Healthcare: Streamlining Processes and Securely Integrating System 

Kalyan Madala – Software Field CTO – IBM APAC 

Key Takeaways

• AI agents and generative AI can dramatically boost productivity, especially for knowledge workers. One medical device company reduced regulatory compliance review time from 4.5 days to just an afternoon using AI. 

• Popular use cases include delivering services at scale, enhancing patient experience, supporting care delivery, and accelerating research. 

• Pre-built AI agents for common workflows combined with custom agents for organisation-specific needs offer a flexible approach. 

• Healthcare CEOs see the most potential for AI in support functions like customer care, HR, marketing and procurement. 

• Implementing AI safely requires robust governance, including AI ethics, model selection, testing, and monitoring. 

• Getting high-quality, relevant data to train AI models remains a key challenge. Most models use less than 1% private data currently. 

• Success factors include having courage to apply AI quickly, focusing on ROI and specific use cases, ensuring data quality and governance, and leveraging partners for talent. 

Opening keynote panel – A Connected HealthTech Ecosystem 

All-In: Accelerating and Expanding Innovation: The Importance for Collaborative Effort Across Key Stakeholders  

Panelists: -  

• Dr.Pauline Erica Tay – Director – National Healthcare Innovation Center (NHIC), Singapore 
• Asst Prof Aung Myint Oo - Assistant Chief Clinical Informatics Officer & Senior Consultant Surgeon - Tan Tock Seng Hospital (TTSH), Singapore    
• Glenn Neo – Director - Innovation Capabilities Enablement, Synapxe Singapore 

Moderator: Prof. Anupam Sibal - Group Medical Director, Apollo Hospitals Group, India 

Key Takeaways

• Cross-sector collaboration is fundamental for health tech innovation. Operating in silos limits progress and increases risks. 

• Successful partnerships need clear governance structures and roles for public and private sector partners. 

• Building trust between stakeholders through transparency and open communication is crucial. 

• Regulatory, commercial and operational priorities must be balanced through mutual understanding. 

• Procurement processes can be streamlined to enable faster innovation cycles. 

• Clinical stakeholder adoption requires speaking a common language and demonstrating clear value. 

• Taking bigger, bolder steps in innovation initiatives can help accelerate progress and reduce costs. 

HealthTech 360:  Mastering Strategy & Digital Health 

Powering HealthTech: Innovation & Transformation  

HealthTech Equilibrium: Balancing Innovation, Governance and Compliance in the Digital Era Lens 

Speaker: Adj Prof. Ngiam Kee Yuan, Head – AI Office  - National University Health Systems (NUHS), Singapore  

Key Takeaways

• Addressing data bias through rigorous testing across diverse populations 

• Implementing robust validation processes that satisfy both statistical and regulatory requirements 

• Recognising that AI augments, rather than replaces, clinical decision-making 

• Adhering to cybersecurity protocols to safeguard patient data 

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Zoom In, Scale Out:  How Fluid, Trustworthy Data is Fuelling AI Success  

Speaker: Stella Ramette, Sales Director Southeast Asia - InterSystems

Key Takeaways

• Trustworthy AI relies on fluid, well-managed data  

• A 'zoom in, scale out' approach balances granular patient focus with broader system integration  

• Vector search and retrieval augmented generation enhance AI's contextual understanding  

• Data security and governance are paramount for building trust in AI systems  

• Intersystems' IRIS data platform offers scalable solutions for complex healthcare data challenges 

Redefining Healthcare: Leveraging Innovation to Enhance Population Health 

Speaker: Prof Lee Chien Earn, Deputy Group CEO Regional Health System –  SingHealth, Singapore

Key Takeaways

• The Paradigm Shift: From Treatment to Adaptation 

Prof Lee challenges the traditional WHO definition of health, proposing instead Huber's 2011 concept: "health as the ability to adapt and self-manage". This shift in perspective is crucial, as it emphasises resilience and social connectedness over mere absence of disease. 

• Building an Ecosystem for Innovation 

Singapore's approach, as outlined by Prof Lee, involves layering new strategies onto existing frameworks. This method ensures continuity whilst allowing for adaptation. Key pillars include: 

• Integration of health and social aspects 

• Merging physical and digital care delivery 

• Person-centred care focused on outcomes 

• The Digital Revolution in Healthcare 

The 'Health Up' movement exemplifies how digital tools can dramatically increase reach and personalisation in health promotion. Prof Lee notes that whilst physical outreach reached 4,000 people in three years, digital methods engaged over 100,000 in just one year. 

AI as an Assistant: Empowering Patients and Healthcare Practitioners for Enhanced Self-Management and Improved Clinical Outcomes 

Speakers: 

• Joash Wee – Assistant Director – Thomson X, Thomson Medical Group, Singapore  
• Suen Ming (SM) Lee – CEO – Thomson Medical, Singapore 

Key Takeaways

• Thomson Medical is developing a smart inventory identification system using AI-powered image recognition to streamline billing processes and reduce manual input errors. 

• The organisation is partnering with external AI solution providers to enhance various medical services, including health screening, eye health, orthopaedics, and oncology. 

• To overcome integration challenges, Thomson Medical has embarked on building its own light version of a hospital information system and clinic management system, focusing on patient management. 

• A microservices architecture with 27 microservices is being utilised to power their inpatient and outpatient management system, enabling seamless patient journeys and easier integration of AI technologies. 

• The company has launched a patient app to improve pre-admission processes, demonstrating the practical applications of their in-house developed systems. 

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Payers Panel: - Collaboration in Value-Based Care Initiatives and Population Health Management  

Panelists:

Stephen Chan – Chief Medical Informatics Officer (CMIO) - Woodlands Health, Singapore 

Yong Yih Ming – CEO, Mount Elizabeth Hospital, Singapore

Moderator:

PADAM (Sundar) KAFLE - Head of Innovation - Healthcare Superintelligence (Project Alif), Aster Hospital, UAE

Key Takeaways

• The Collaborative Imperative 

Dr Stephen Chan of Woodlands Health emphasised the need for alignment between payers and providers on care pathways and financial metrics. He advocated for "data liquidity" - the seamless flow of clinical and financial information across stakeholders. 

Yong Yih Ming, CEO of Mount Elizabeth Hospital, highlighted the importance of standardising care pathways and focusing on specialties with measurable outcomes. He noted, "We need to right-size some care...the overall cost reduces, length of stay in hospitals reduces, and hospital resources can be dedicated for real complex and necessary care." 

• Innovation: A Balancing Act 

The panellists explored the delicate balance between innovation and cost containment. Outlining three key areas where innovation drives value in private healthcare: 

• Care efficiency (e.g. AI in radiology) 

• Operational processes 

• Enhanced diagnostic capabilities 

Panel: - Interoperability Systems: To Ensure a More Secure and Reliable Data Interchange 

Panellists: -  

• Jamey Baszuk, - AVP International – Healthcare, Hyland  
• Dr. Mahesh Appannan - Head of Digital Health, Ministry of Health (MOH), Malaysia   

Moderator: Peter Forbes - Group Chief Digital Officer, National University Health System 

Key Takeaways

• Interoperability is not merely a technical ambition but a strategic imperative for future-proofing healthcare ecosystems.  

• Patient-centric approaches are gaining traction, with emphasis on empowering individuals to be stewards of their own health information.  

• Standardisation is crucial for achieving effective interoperability, with a focus on adopting international standards like HL7 FHIR.  

• Legacy systems pose significant challenges, but solutions such as middleware adapters and AI-driven insights are being explored.  

• Fostering a culture of data sharing requires a shift from data ownership to data stewardship mindsets. 

Panel - Partnerships & Collaboration: The Do’s and Don’ts to Drive Healthtech Innovation  

Panellists:

• Professor Eric Wong – Group Chief Digital Health Officer – National Healthcare Group, Singapore 
• Terence Ng – Director, Innovation Office – Health Promotion Board, Singapore  
• Victoria Lee - Change Architect & Digital Transformation Strategist – Johns Hopkins, USA    

Moderator: Karunan Gunasekara- Assistant Vice President- Corporate Venture Capital, IHH Healthcare   

Key Takeaways

• Complementary Strengths: Successful partnerships leverage the unique capabilities of each partner. Public sector bodies offer scale and population data, while private companies bring agility and cutting-edge technologies. 
• Living Labs: Private hospitals can serve as testing grounds for rapidly refining new technologies before broader implementation. 
• Trust and Transparency: Open communication about goals, constraints, and potential conflicts of interest is crucial from the outset of any partnership. 
• Regulatory Balance: A "sandbox" approach can create safe spaces for experimentation whilst maintaining appropriate safeguards. 
• AI and Data-Driven Healthcare: Developing effective AI solutions requires diverse partnerships, bringing together clinicians, data scientists, ethicists, and patient advocates. 
• Scale and Agility: Public-private partnerships can combine the scale of government initiatives with the agility of private sector innovation. 
• Patient-Centric Focus: Amidst technological advancements, maintaining a focus on improving patient outcomes remains paramount. 
• The panel discussion highlighted the critical role of strategic partnerships in driving healthtech innovation. By fostering collaboration between public and private sectors, leveraging complementary strengths, and maintaining a commitment to patient care, the healthcare industry can accelerate meaningful innovation.  

Fireside chat: Not Stepping Down Care in Step-Down Care: Ensuring Continuous & Efficient Patient-Centered Care in Nursing Homes and Community Hospitals 

Panelists: 

• Dr Jamie Mervyn Lim – CEO, Ren Ci Hospital, Singapore 
• Johann Annuar - Director Technology and Innovation, Kwong Wai Shiu Hospital, Singapore 

Key Takeaways (TBU)

Trust, Transparency, and Governance in the Age of Digital Health within Healthcare 

Speaker: Sutowo Wong - Director, Health Analytics Division – Ministry of Health, Singapore 

Key Takeaways

• AI in healthcare can be both superhuman and subhuman, necessitating careful governance  

• Governance should be viewed as a "brake" that enables faster, safer innovation  

• Risk-tiering is crucial - governance measures should be commensurate with project risk  

• Principles like safety and transparency must be translated into actionable guidelines  

• AI's true potential lies in transforming workflows, not just augmenting existing processes  

• Agentic AI, with specialised AI agents working alongside humans, represents the future 

Integrating Innovation in Healthcare: Myths, Realities, and Breakthroughs

Speaker: Louis Shun – CIO, Gleneagles, Hong Kong    

Key Takeaways

• Technology is an enabler, not a solution: The real challenges in integrating innovations are often clinical or workflow-related, not technical. 
• Innovation doesn't always require costly investments: Collaborations and partnerships can drive innovation without breaking the bank. 
• Legacy systems aren't insurmountable barriers: Modern integration technologies allow for innovation around existing infrastructure. 
• 'Game-changers' often evolve gradually: Technologies like 5G find their true value in specific, timely applications rather than immediate, sweeping changes. 
• AI's potential lies in seamless workflow integration: To be truly effective, AI must be accurate, safe, and effortlessly incorporated into daily processes. 
• Organisational culture is crucial: Fostering a culture of experimentation and building cross-functional 'super teams' can drive meaningful change. 

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How Startups Can Effectively Succeed within The Healthcare Ecosystem 

Speaker: Dr.Amit Varma - Managing Partner, Quadria Capital, Singapore 

Key Takeaways

• Integration over disruption: Successful healthcare startups align with existing systems rather than attempting to upend them. 

• Value-driven funding: Seek investors who offer domain expertise and operational support, not just capital. 

• Technology as an enabler: Focus on improved outcomes and efficiency, not just the tech itself. 

• Regulatory awareness: Navigate certification and compliance pathways early to build trust and scalability. 

• Evidence-based scaling: Ensure peer-reviewed validation before aggressive expansion. 

• Impact focus: Address significant market needs and demonstrate potential for widespread positive outcomes. 

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How Today's Tech Drive Tangible Value in Patient Care, Operational Efficiency, and Overall Business Growth 

Speaker: Saqip Chaudhry, CIO - John Hopkins Aramco, Kingdom Saudi Arabia 

Key Takeaways

• Digital Healthcare Revolution The future of healthcare is a seamlessly integrated, technology-driven ecosystem. Wearables, AI analytics, and telemedicine are making care more proactive, personalised, and accessible. 

• Patient-Centric Innovation Healthcare leaders are prioritising digitalisation, focusing on patient engagement. IoT devices, AI, and robotics are driving market growth, potentially reaching over a trillion dollars in five years. 

• Overcoming Transformation Challenges Despite budgetary constraints, data quality issues, and talent retention challenges, strong leadership and strategic planning can help organisations achieve substantial returns on digital investments. 

• Global Impact of Health Tech Small investments in health technology can yield significant global results. As Chowdhury notes, just 25 cents per patient yearly in telemedicine and chatbots could save millions of lives and generate billions in economic gains. 

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Extending the Healthcare Collaboration Beyond the Borders 

Speaker: Prof Daniel Ting - Chief Data & Digital Officer, Singhealth Singapore 

Key Takeaways

• AI in healthcare has evolved from basic risk scoring to advanced image analysis and natural language processing  

• Proper data preparation and architecture are crucial for developing robust AI algorithms  

• Privacy-preserving technologies like federated learning and blockchain enable secure data sharing across institutions  

• Successful AI implementation requires considering the full ecosystem, from data capture to analysis to clinical application  

• Standardised frameworks (e.g. CONSORT-AI) help ensure rigour in AI research and development   

• Crossing the "valley of death" from research to clinical implementation remains a significant challenge 

Rethinking Innovation in Healthcare Truths Challenges Game Changers

Speaker: Dr Yujia Gao – Asst Group Chief Technology Officer, National University Hospital Singapore (NUHS) 

Key Takeaways

• Technology alone cannot solve all healthcare problems - data quality and biases remain critical challenges  

• "Disruptive" innovations like telehealth often fail to fundamentally change patient behaviour long-term 

• New technologies can have unforeseen psychological and social consequences for patients and providers  

• Successful innovation requires human-centred design, evidence-based implementation, and ecosystem collaboration  

• Identifying specific high-impact use cases is more valuable than pursuing "game-changing" applications  

• Balancing meaning and utility, directed and empowering experiences is crucial when introducing new tech 

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HealthTech Innovation & Ethics: The Focus on Responsibility, Trust & Safety 

Speaker: James McLeary – Group CIO & CISO, Bumrungrad Hospital International, Thailand 

Key Takeaways

• AI adoption in healthcare is accelerating, with a projected $36 billion in revenue this year alone.  Innovative applications range from diagnostic tools to clinical note processing and translation services.  Ethical concerns include ensuring privacy, fairness, and security in AI implementations.  

• The threat landscape is evolving, with AI-powered cyberattacks posing new challenges.  

• Healthcare leaders must prioritise 'digital trust' over 'digital speed' in technology adoption. 

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Opening keynote presentation: Building Innovation at SGH: From Concept to Care  

Speaker: Prof Tan Hiang Koon – CEO, Singapore General Hospital (SGH), Singapore

Key Takeaways

• SGH's innovation ecosystem is built on four pillars: problem definition, empowering people, technical support, and scaling/adoption. 
• Innovation is embedded within the hospital, allowing staff to identify and solve real-world problems. 
• Clinicians are supported with dedicated career paths and protected time for innovation work. 
• A robust technical ecosystem translates clinical insights into viable solutions. 
• SGH invests heavily in implementation science and change management to ensure innovations are adopted and scaled. 
• The ALICE Innovation Centre has supported over 100 projects, securing significant funding and delivering cost savings. 
• Successful innovations like 'Claro' (surgical lighting) demonstrate global potential of local solutions. 
• Focus on human-centred innovations, such as ambient AI for improving doctor-patient interactions. 
• SGH's approach emphasises solving immediate problems and empowering staff, with commercial potential as a secondary benefit. 

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Opening keynote panel – The ASEAN/ASIA Perspective: Regulating Digital Health  

Panelists: 

• Ivan Koh - Director of Regulatory Policy & Legislation – Health Regulation, Ministry of Health Singapore   
• Dr. Mahesh Appannan - Head of Digital Health, Ministry of Health (MOH), Malaysia   
• Rudy Kurniawan -Head of Digital Innovation & Health Financing Working Team, Ministry of Health, Republic of Indonesia 

Moderator: Prof. Anupam Sibal - Group Medical Director, Apollo Hospitals Group, India 

Key Takeaways

• Regulators face the daunting task of keeping pace with breakneck technological change. As Ivan Koh from Singapore's Ministry of Health noted, there's immense pressure for a "one size fits all" approach to AI regulation. However, a nuanced, risk-based strategy is crucial given the vast differences between, say, a note-taking app and autonomous surgery. 

• Whilst alignment on core principles like patient safety is achievable, Dr Mahesh Appannan of Malaysia highlighted the need for frameworks tailored to local contexts. The goal is "global interoperability", but the path there must account for varying levels of digital maturity across ASEAN. 

• To craft relevant, fit-for-purpose regulations, close collaboration between industry and government is essential. As Koh eloquently put it, this partnership must "LEAP" forward , eading the way, Engaging stakeholders, Assuring safety, and forging true Partnerships. 

• Amidst discussions of AI and interoperability, the patient perspective mustn't be forgotten. Rudy Kurniawan of Indonesia emphasised that patient safety and empowerment should be the north star guiding all digital health initiatives. 

Plenary Presentation: Futuristic Vision on Tomorrow’s Health Practitioners and SMART Hospitals  

Speaker:  Dr Soo-Jeong Kim - Deputy Chief Information Officer - Severance Hospital, South Korea 

Key Takeaways

• AI as a clinical co-pilot: By 2030, AI assistants may help clinicians rapidly synthesise patient data, automate administrative tasks, and generate personalised care recommendations. This could free up significant time for meaningful patient interactions. 
• Proactive, precision care: Predictive analytics and digital twins may enable earlier interventions tailored to each patient's unique risk factors and needs. Population health management could become far more targeted and impactful. 
•  Augmented clinical decision-making: AI tools are poised to extend clinicians' expertise by aggregating the latest evidence, querying complex guidelines, and suggesting optimal care pathways in real-time during consultations. 
• Evolving clinician education: Medical curricula will likely expand to include training on effectively leveraging AI tools, understanding their strengths and limitations, and maintaining critical thinking skills. 
• Human-centred design: As AI capabilities grow, the emphasis remains on augmenting rather than replacing human clinicians. The goal is enhancing the doctor-patient relationship through more quality face-to-face time. 

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HealthTech 360:  Mastering Strategy & Digital Health 

Powering HealthTech: Innovation & Transformation

Hospital Journey to Innovation – Sandbox Implementation & Deployment     

Speaker: Prof Tomohiro Kuroda – CIO & Head of Medical Information Technology – Kyoto University Hospital, Japan 

Key Takeaways

• Physical constraints drove digital innovation: 350-metre corridor necessitated tech solutions 

• Digital journey timeline: • 1970s: Basic accounting system • 2005: Electronic Health Records (EHRs) implemented 

• EHR challenges: • Nurses spent over 8.5 hours daily on system - more than working hours • Reduced time for direct patient care 

• IoT solutions: • Bluetooth badges for nurses • Sensors near patient beds • Automatic vital data recording 

• Patient-centric mobile app developed: • Streamlined outpatient journey • Reduced wait times and administrative work 

• Future vision: • Healthcare beyond hospital walls • Home-based medical devices and remote monitoring • Blurring lines between hospital and home care

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AI in Critical Care: Optimising Workflow, Predicting Patients Deterioration and Improving Care  

Speaker: Dr. Amith Shetty- Clinical Director- System Sustainability and Performance - New South Wales, Australia    

Key Takeaways

• Augmentation over automation: Engage clinicians in the process rather than fully automating decisions  
• Focus on early risk stratification: Identify high-risk patients in waiting rooms before deterioration  
• Integrate with clinical workflows: Design systems that fit seamlessly into existing processes  
• Provide actionable insights: Give clear next steps, not just risk scores  
• Build trust through transparency: Allow clinicians to view algorithm performance metrics  
• Take a platform approach: Invest in flexible infrastructure to deploy multiple AI models  
• Consider economic impacts: Track cost savings to demonstrate value  
• Avoid alert fatigue: Use dashboards for monitoring instead of constant notifications  
• Enable proactive care: Predict deterioration hours before traditional methods  
• Look beyond single conditions: Implement multiple algorithms to assess various risks 

Transforming Health Care through Digital Connection 

Speaker: Pedram Bidhendi - Director, State ODS Program System Performance Support Branch, NSW Health, Australia 

Key Takeaways

Centralised data platform: 

• Integrates multiple systems across 226 hospitals 

• Provides real-time view of hospital activity and resource allocation 

• Enables AI and machine learning applications 

• AI-powered ambulance routing: 

• Optimises patient transport based on hospital capacity and patient acuity 

• Reduces ambulance offloading times at major hospitals 

• Provides paramedics with relevant patient history 

• Streamlined patient transfers: 

• Manages 10,000 inter-hospital transfers monthly 

• Standardises processes and prioritisation 

• Reduces major transport delays by 30% 

• Predictive analytics: 

• Identifies complex discharge needs at admission 

• Forecasts bed demand 14 days in advance 

• Enables proactive resource allocation and intervention 

• Digitised workflows: 

• Replaces manual, paper-based processes for admissions and billing 

• Improves efficiency for over 2 million admissions annually 

• Reduces administrative burden on healthcare staff 

• Improved discharge processes: 

• Centralised booking system for patient transport home 

• 46% reduction in transport crew overtime 

• Integration of taxi and rideshare services for eligible patients 

• Enhanced emergency department management: 

• Algorithms predict likelihood of admission from ED 

• Supports faster patient flow from ED to appropriate wards 

• Aids in prioritising complex cases 

• Population health management: 

• Risk stratification to identify high-risk individuals in the community 

• Targeted interventions to prevent unnecessary hospitalisations 

• Integration with EMR for continuity of care 

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From Hospital Digitisation to Scalable HealthTech Solutions: Data, IP, and Market Deployment 

Speaker: Dr. NT Cheung – Head of IT, Hong Kong Hospital Authority, Hong Kong 

Key Takeaways

• The Hospital Authority's Clinical Management System (CMS) serves as the backbone for Hong Kong's healthcare, offering a unified, cost-effective solution developed in-house over 30 years. 
• Core principles guiding development include structured electronic records, improved clinical workflows, and enhanced care quality. 
• Innovation at scale is achieved through a 'flywheel' approach, connecting various digital health platforms to drive overall care enhancement. 
• Continuous technological refreshment ensures the system remains cutting-edge, cost-effective, and scalable. 
• Smart Hospital initiatives focus on connected patient journeys, local innovations, value measurement, and AI-powered solutions. 
• Real-world applications include the 'chest pain green channel' for rapid cardiac care and AI-assisted hepatitis risk management. 
• The HA Data Collaboration Lab provides researchers access to anonymised healthcare data, fostering innovation. 
• The newly established eHealth Plus Digital aims to commercialise solutions, data services, and consulting expertise developed within the Hospital Authority. 

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Panel - AI in Action: Transforming Healthcare & Precision Medicine for Better Outcomes

Panelists: 

• Dr.Dinesh Gunasekaran - Clinician AI Scientist & Assistant Director, MOHT Singapore 
• Dr. Fong Qi Wei – Family Physician, National Healthcare Group Polyclinics, Singapore  

Moderator: Andrew Wu, PhD - Co-Founder and CEO, Mesh Bio Pte Ltd 

Key Takeaways

• AI solutions span a spectrum from established statistical methods to cutting-edge large language models and digital twins  
• Infrastructure readiness is crucial - systems must support real-time data streaming and processing  
• Stakeholders buy-in, especially from clinicians, is essential for adoption  
• Regulatory approaches differ for confined vs. unconfined AI systems  
• AI can boost efficiency by automating administrative tasks, allowing more patient face-time  
• Clinicians need proper training to understand AI outputs and limitations 

Panel: Cloudification: Deploying Easier Access of Patient’s Data and Analysis Between Healthcare Enterprises 

Panelists:  

• Frank Vibar – CIO – Asian Hospital and Medical Center, Philippines 
• Sunil Mahajan - Director - Technology Expert Labs - IBM ASEAN 

Moderator: Ashok Bajpai - Chief Technology Officer, Pertamina Bina Medika IHC, Indonesia 

Key Takeaways

Healthcare networks are leveraging cloud technology to create unified patient experiences across multiple hospitals. This includes: 

• Developing patient portals with unique IDs for accessing records across entire networks 

• Implementing enterprise data warehouses for standardized reporting and analytics 

• Creating integration platforms to connect disparate systems 

AI integration in healthcare is augmenting, not replacing, medical professionals: 

• AI tools are assisting in areas like radiology, improving efficiency and accuracy 

• Doctors are adapting to use AI as a supportive tool in their practice 

Security and compliance remain critical challenges: 

• Patient data is highly valuable and targeted by cybercriminals 

• Hospitals are implementing multi-layered security approaches, including encryption, regular vulnerability assessments, and quantum-safe technologies 

The human element is crucial in this digital transformation: 

• Change management and training are essential for successful adoption 

• Focus on clear use cases and measurable outcomes to drive acceptance 

Collab & Slay:  Collaborating with Startups to Redefine Health at Home with Today’s Evolving Tech  

Speaker: Dr. Poh hui Chia, Director, Vickers Venture Partners, Singapore 

Connected Care: Building a Borderless Future for Health with Technology and Trust 

Speaker: Andy Tan – Healthcare Sales Director, T-systems Singapore Pte Ltd 

Key Takeaways

The AI-Driven Healthcare Revolution 

Artificial Intelligence (AI) is no longer just a buzzword; it's a powerful tool reshaping healthcare delivery. T-Systems envisions AI as a catalyst for: 

• Proactive decision-making 

• Resource optimization 

• Predictive modeling 

• Data-driven clinical support systems 

These advancements are not confined to clinical settings. AI is making waves in education, research, diagnostics, and patient monitoring, enabling healthcare providers to do more with less. 

From Hospital to Home: The Shift in Care Delivery 

The COVID-19 pandemic accelerated a paradigm shift in healthcare, moving the focus from hospital-centric care to patient-centric care. T-Systems is at the forefront of this transition, developing solutions that bridge the gap between institutional care and home-based care. 

Their work with nursing homes, transitional care facilities, and home care services exemplifies this shift. By leveraging technology, they're creating a continuum of care that extends beyond hospital walls, ensuring patients receive appropriate care regardless of location. 

Practice Management: Building a Vision as The Centre of Effective Healthcare Systems and Driving Business Value  

Speakers: 

• Jacqueline Beer – National President, Australian Association of Practice Management (AAPM) 
• Debra Walter – National Vice President, Australian Association of Practice Management (AAPM) 

Key Takeaways

• Healthcare systems today face a delicate balancing act - meeting patient needs whilst managing workforce demands and ensuring accessibility, quality, and sustainability. No longer just administrative overseers, practice managers have become key drivers of digital integration, workforce coordination, and patient-centred care. 

• Consider the recent floods on Australia's east coast. Digital tools like telehealth and remote administrative systems allowed healthcare practices to maintain essential services despite the crisis. This real-world example underscores how technology, when strategically implemented, can be a lifeline in emergency situations.  

• "Technology should not replace human connection in healthcare, it should strengthen it." The goal is to enhance efficiency without compromising personalised, compassionate care. 

• Data analytics offer tremendous potential for refining care strategies and enhancing health outcomes. By measuring patient experiences and clinical effectiveness, practices can identify trends and gaps in healthcare access.  

• As healthcare evolves, effective change management becomes crucial. Practice managers play a vital role in equipping teams with the right tools, training, and strategic oversight to adapt to new technologies and policies. 

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UK HealthTech ecosystem, with a focus on the work in data and AI development and deployment in London  

Speaker: Dr. Rishi Das-Gupta - Chief Executive, Health Innovation Network 

Key Takeaways

Unified Data, Diverse Innovation 

London's health innovation system revolves around 10 key areas, each with its own focus. The city's diversity, coupled with its comprehensive healthcare provider network, makes it an ideal testing ground for new technologies. A standout feature is the 'One London' programme, which consolidates data from various systems into a single repository. This unified approach facilitates direct clinical care, care planning, and crucially, research - a boon for companies seeking to validate their products in a UK setting. 

AI at the Forefront 

The AI Centre for Value Based Healthcare exemplifies London's commitment to advancing healthcare through technology. This public-private partnership focuses on both clinical and non-clinical AI applications. Its 'flip engine' for federated learning and 'AI deployment engine' enable seamless integration of algorithms into hospital electronic health record systems, showcasing a level of infrastructure sophistication that's hard to match. 

Support for Innovation 

London offers a plethora of support programmes for innovators, from general market access assistance to specific accelerators for digital health companies. The city's approach to innovation rollout is systematic and thorough, ensuring that new technologies not only benefit patients but also address health inequalities - a crucial consideration in the UK's state-funded health system. 

As healthcare leaders, understanding and leveraging this ecosystem could be pivotal in driving forward health innovation on a global scale. 

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Case Study:  The Future of Hospital Care is In the Home 

This exclusive session will discuss how technology-enabled hospital-at-home can provide patients with an alternative of receiving hospital-level treatment in their own homes. 

Speaker: Dr Wang Zhemin - Consultant, Advanced Internal Medicine, NUHS@Home and Intensive Care Medicine and MI & Tech Lead, NUHS@Home 

Key Takeaways

Revolutionising Patient Care 

The National University Health System's Hospital at Home programme, known as NUHS at Home, is pioneering a transformative approach to healthcare delivery. This innovative model allows patients who would traditionally require hospitalisation to receive high-quality medical care in their own homes. 

Dr Zhemin emphasises, "Any patient who wants to be at home and can be at home should be kept at home". This philosophy underpins the programme's mission, recognising the myriad benefits of home-based care, including: 

• Enhanced patient comfort in familiar surroundings 

• Reduced risk of hospital-acquired infections 

• Decreased likelihood of hospital-related complications such as delirium and functional decline 

Leveraging Technology for Home-Based Care 

The success of NUHS at Home hinges on its strategic use of technology. Key technological enablers include: 

• Remote vital signs monitoring systems 

• Smart medication pumps for efficient drug delivery 

• Point-of-care tests and mobile electronic medical records 

• Daily video calls and instant messaging for patient communication 

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Smart Hospital Journey Driven by 5G, IoT and Automation  

Speaker: PADAM (Sundar) KAFLE - Head of Innovation - Healthcare Superintelligence (Project Alif), Aster Hospital, UAE 

Key Takeaways

• 5G-powered facilities fully integrated with IoT and IoMT  
• AI-driven triage system reducing emergency wait times by 5-6 minutes  
• Barcoded medication administration with bedside beacons for enhanced safety  
• Cloud-based, serverless infrastructure implemented since 2019  
• Generative AI integrated into decision-making systems from 2023 

The impact of these innovations is profound: 

• Improved patient safety through closed-loop care processes 

• Reduced emergency department crowding and wait times 

• Enhanced cost-effectiveness and environmental sustainability 

• Seamless digital-first experiences for patients and staff 

"The future of healthcare lies in smart hospitals that seamlessly blend technology with compassionate care." 

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Panel: Innovating Healthcare: Driving Transformation Change Across Asia 

Panelists: 

• Ashok Bajpai - Chief Technology Officer, Pertamina Bina Medika IHC, Indonesia  
• Wildan Djohany – IT Director – EMC Healthcare, Indonesia

Moderator: Dr. Amith Shetty- Clinical Director- System Sustainability and Performance - New South Wales, Australia    

Key Takeaways

• The push for change is multifaceted - from government mandates for universal digital health records to the rising tide of non-communicable diseases overwhelming existing systems. Yet the pull of patient expectations is equally powerful, with tech-savvy consumers demanding healthcare at their fingertips. 

• Amidst this sea change, healthcare visionaries are charting a course through choppy waters. They're grappling with legacy systems that speak different languages, clinicians resistant to trading pens for keyboards, and the ever-present spectre of data security. 

Panel: Enhancing Healthcare Access through Telemedicine and Remote Patient Monitoring 

Panellist:

• Lian Leng Low - Chairman - Population Health, Singapore General Hospital 
• Roland Liew – Head of Digital Transformation, IHH Healthcare Singapore 

Moderator: PADAM (Sundar) KAFLE - Head of Innovation - Healthcare Superintelligence (Project Alif), Aster Hospital, UAE 

Key Takeaways

• User-centric design is crucial for adoption. Integrating features like dependent profiles can dramatically increase uptake. 

• A hybrid care model combining in-person and virtual visits is emerging as the new standard. 

• Data integrity remains a significant challenge, particularly for home-based measurements. 

• Regulatory frameworks and reimbursement models must evolve to support widespread implementation. 

• AI-powered personalised care plans and automated follow-ups represent the next frontier.

Plenary Panel : "The 2Ps: Strategic Public - Private Partnership as the Catalyst of HealthTech Transformation Success" 

Panelists: 

• Dr. Mahesh Appannan - Head of Digital Health, Ministry of Health (MOH), Malaysia   
• Rudy Kurniawan -Head of Digital Innovation & Health Financing Working Team, Ministry of Health, Republic of Indonesia   
• Andy Ta – Director, Data Analytics, AI & Chief Data Officer, Synapxe Singapore 

Moderator: Dr.Terence - Founder of TechBrews 

Key Takeaways

This simple statement encapsulates a profound shift in thinking - moving from transactional relationships to true strategic alliances. In this new paradigm, private sector players are invited to deeply understand the healthcare ecosystem, aligning their goals with national health priorities to co-create impactful solutions. 

But how do we foster these fruitful partnerships? The panelists highlighted several key ingredients: 

• Early engagement: Bringing industry players into the conversation from the very beginning, rather than as an afterthought. 

• Shared risk and reward: Exploring innovative financing models like Private Financing Initiatives (PFIs) to accelerate innovation while managing costs. 

• Regulatory sandboxes: Creating safe spaces for experimentation, where public and private expertise can combine to shape more effective frameworks. 

From Pilot Purgatory to Sustainable Success 

The healthtech landscape is littered with the ghosts of promising pilots that never took flight. As one panelist wryly noted, "We can shut down Singapore Air Force if we just rely on the AI pilots." So what separates the projects that soar from those that stall on the runway? 

The experts identified several critical factors: 

• Integration into existing workflows: Solutions that create extra work for already-burdened healthcare workers are doomed to fail. 

• Policy alignment and stakeholder buy-in: Ensuring broad support from the outset. 

• Long-term funding strategy: Planning for sustainability beyond the initial pilot phase. 

One success story highlighted was an AI system developed during COVID-19 to predict ICU bed needs for pneumonia patients. By focusing on a concrete resource allocation problem rather than chasing the trendiest AI application, the project delivered lasting value even after the pandemic's peak. 

The Road Ahead: Policy Shifts to Unlock Innovation 

As our healthcare systems face mounting challenges, strategic public-private partnerships offer a promising path forward. The panelists proposed several policy shifts that could further catalyze innovation: 

• Increased transparency: Building trust between all stakeholders. 

• Shared IP models: Exploring ways for both public and private entities to benefit from successful innovations. 

• Greater industry involvement in regulatory frameworks: Tapping into private sector expertise to create more holistic and effective policies.