AIGP Health

Excited to announce that we've secured pre-seed funding from angel investors in Singapore and Japan to build the next era of healthcare innovation: Healthcare_OS. This platform aims to revolutionize primary care in Singapore, with a focus on smarter, more efficient solutions for chronic condition management. This will also work directly with users to ensure their health is in optimal condition. Nicholas Chia | Prateet Narula | Anindita Santosa | Yudara Kularathne MD, FAMS(EM) | Dr Sithira A. | Dinal Fernando | Salomi Arasaratnam | Mona Lisa Siriwardena #AIGP #AIGPHealth #ai #healthcareos

Coming home to Singhealth Research in 2025 to share my HeHealth journey as a Startup Founder. As public sector clinicians, we were skilled in many areas, but the startup journey proved to be a completely different challenge that required learning an entirely new set of skills. The transition was not easy, but I’m happy to share every step of my journey. If you’re considering taking your clinical career in a new direction, this might provide some helpful insights. During the session, I’ll discuss how I built a startup leveraging disruptive technology in a traditional field, how I developed data and intellectual property through community engagement, and how I established a globally recognized research team and achieved impactful research outcomes—and much more. Most importantly, if you have any questions, bring them to the table, and I’ll do my best to answer them. 😊 Thank you, SingHealth Research and SCOUT, for inviting me to this session! Mei-Ling Lu | Danny B. | Huiyu Low | Siew Ying Koh | Salomi Arasaratnam | Dr Sithira A. #hehealth #aagee #aigp #singhealth

Does Primary Care Need a Digital Health Revolution? - Here’s My Take Primary care is the backbone of healthcare systems. It’s where patients first turn to for help, yet it’s often most under-resourced & overwhelmed part of the system. In my experience working in digital health research, I’ve noticed that while healthtech is booming, primary care lags in adoption. Why I believe this gap exists—and how to address it: 1️⃣ Fragmented Workflows Primary care clinics often rely on outdated systems that don’t communicate with each other, leading to inefficiencies and burnout. 50-60% of providers experience burnout, with family physicians reaching 90% - primarily due to administrative burdens and fragmented systems (JAMA, AHA). 💭 What if we designed digital tools that integrate seamlessly into the daily workflows of primary care providers, instead of adding to their workload? 👉🏼 Focus on interoperable solutions that connect patient records, diagnostic tools, and communication systems in real time. 2️⃣ Providers Don’t Feel Supported Many providers feel overwhelmed by the complexity of digital tools. 70% of providers report challenges with digital tools, yet 80% believe AI could help (JMIR, WHO). 💭 Are we investing enough in equipping providers with the skills and confidence to use digital health tools effectively? 👉🏼 Develop intuitive platforms and provide ongoing training for primary care teams to boost both adoption and confidence. 3️⃣ Patient Engagement Barriers Digital tools often focus on providers & neglect patients. If patients can’t engage with these tools easily, the impact is limited. Barriers like literacy and tech access limit engagement (BMJ Open). 💭 Are we designing tools that truly empower patients to take charge of their health, or are we leaving them behind? 👉🏼 Create tools with patient-friendly interfaces and features that promote health literacy, like reminders, self-monitoring, and easy access to care plans. Imagine a Primary Care System Where: • Digital tools reduce provider burnout by automating repetitive tasks and streamlining workflows. • Patients actively participate in their care through intuitive apps and platforms. • Providers and patients alike feel empowered by technology, not overwhelmed by it. This isn’t just about innovation—it’s rethinking how we deliver care at the most fundamental level. I’m glad to be part of AIGP Health, working toward similar mission with smarter, digital solutions. What’s Your Take? - Are we doing enough to innovate primary care, or is there more work ahead? #DigitalHealth #PrimaryCare #HealthcareInnovation (Image generated by ChatGPT-4)

When you are creative and innovative, technology works magic. What do a chimp, a hippo, a leopard, an elephant, and a cheetah have in common? Not much—except that the Apple Watch works perfectly on all of them to measure their vitals, just like it does for us. Of course, it's clearly not FDA-cleared for use in animals, but if it's better than the next best available technology, why not? In sexual health, there hadn’t been significant innovations for years—until HeHealth disrupted the field by creating groundbreaking use cases with existing technology. Yet, some people couldn’t accept it. My message to the world: if something is significantly better than the current baseline for most people and has a larger impact, don’t crucify the innovators. Instead, open your eyes and see the potential. My takeaway from 2024: Open your eyes, open your heart, and be flexible enough to embrace new things. The world is changing. Mei-Ling Lu | Michal S. | Dr Sithira A. | Salomi Arasaratnam #2024 #innovations #hehealth #aagee #aigp

AI vs Doctors: AI Wins by Margins. In scenarios where doctors score 30% and AI scores 80%, AI emerges as the clear winner by significant margins. As a patient, would you consider using AI for a second opinion? In the study referenced, researchers compared the performance of O1 Preview with physicians on NEJM case records across multiple aspects, including differential diagnosis. Diagnosis, often regarded as one of the most challenging tasks in medicine that physicians take pride in, seems to be an area where O1 preview demonstrates superior reasoning. The margins are so significant that even with the largest possible margin of error, AI still outperforms. On the other hand, since AI is trained on virtually everything available on the internet, it is possible that some cases may have been part of its training data. However, this doesn't negate the results. The direction is clear—we need to prepare for this shift. As more studies will emerge in 2025, we’ll see additional comparisons. With O1 already fully operational and the more advanced O3 on the horizon, it will soon be nearly impossible for doctors to outperform AI. We need to adapt to working alongside AI. In the near future, not utilizing AI in medicine could be considered negligent. While humans may be the weaker link in terms of raw accuracy, we should focus on providing care with empathy and emotional connection—an area where we excel compared to machines. 😊 #ai #medicine #future #diagnosis

Merry Christmas to all my professional family! Have a wonderful holiday season From HeHealth, Aagee and AIGP Teams

🚀 Get Ready: AI is About to Revolutionize Healthcare (Again!) 🩺 We’re on the brink of another game-changing leap in healthcare, fueled by the rapid evolution of artificial intelligence. While today’s AI tools are already making waves, upcoming advancements—like the upcoming arrival of OpenAI’s o3 and Google’s Gemini 2.0—could take things to a whole new level. Here’s why AIGP Health is beyond excited: 1️⃣ Hyper-Personalized Medicine 🌟 💡 Imagine AI analyzing your unique genetic code, lifestyle, environment, and medical history with pinpoint accuracy. These advanced models could make tailor-made treatments the new standard—focused on you, not just the disease. 2️⃣ Accelerated Drug Discovery & Development 💊⚡ The slow, costly process of drug development? AI is poised to change that: Spotting new drug candidates: Advanced AI could scan massive molecular datasets and predict effectiveness like never before. Streamlining clinical trials: Precision in identifying patient cohorts and optimizing trial protocols = faster breakthroughs. Repurposing existing drugs: Finding new uses for approved drugs using cutting-edge pattern recognition. 3️⃣ Enhanced Diagnostic Power 🔬🩻 Early disease detection: AI could analyze medical images (X-rays, MRIs, CT scans) with superhuman precision, spotting early-stage conditions long before symptoms arise. Predictive diagnostics: By crunching patient data, AI could foresee disease risks and guide proactive interventions. 4️⃣ Goodbye, Admin Overload! 🖥️✨ o3 and Gemini 2.0 could lighten the load on healthcare providers by automating: ✅ Prior authorizations to reduce delays in care. ✅ Medical coding & billing for greater accuracy. ✅ Patient scheduling & communication with 24/7 support. 5️⃣ A Mental Health Revolution 🧠💙 With their ability to interact empathetically and analyze vast data, these tools could transform mental health care: Imagine an AI companion capable of real-time emotional support while detecting signs of mental health crises. 🚨 Challenges We Can’t Ignore Of course, this isn’t all smooth sailing. Issues like data privacy, bias, and regulation must be tackled head-on. Collaboration between tech innovators, healthcare professionals, policymakers, and ethicists will be key. 💡 The Takeaway The future of healthcare, powered by tools like OpenAI o3 and Gemini 2.0, is brighter than ever. 🌟 These technologies have the potential to improve patient outcomes, reduce costs, and make healthcare more efficient and equitable for everyone. 💬 What’s your take on the future of AI in healthcare? Drop your thoughts in the comments below—we’d love to hear them! 👇 #AI #HealthcareInnovation #DigitalHealth 🌐 #FutureofMedicine #PersonalizedCare #MachineLearning #EmpathyInTech

Embracing a More Human-Centered AI Future in Healthcare! 💡🤝 Ready or not, 2025 is right around the corner—and with it comes a new era of AI-driven healthcare. Think smarter diagnostics, personalized treatment plans, and 24/7 data insights—all powered by the latest multimodal AI technologies. 🧠💻 But here’s the real question: How do we harness these incredible advancements without losing the human heart that makes medicine so meaningful? At AIGP Health, we believe the future of healthcare should feel both high-tech and deeply human. Imagine doctors using AI as a subtle, behind-the-scenes tool, freeing them from endless documentation so they can focus on what matters most: truly understanding their patients. 💚👩⚕️👨⚕️ Ready to explore a vision of healthcare that’s compassionate, holistic, and driven by the best of both worlds—people and technology? Check out our new article and see how AI can empower healthcare professionals to provide more meaningful, empathetic care. 🌱✨ Read the Full Article 👇 Yudara Kularathne MD, FAMS(EM) | Nicholas Chia | Prateet Narula | Anindita Santosa | Dr Sithira A. | Dinal Fernando #HealthcareInnovation #AIinHealthcare #FutureOfMedicine #PatientCenteredCare #DigitalHealth #CompassionateCare #HolisticHealing

🚀 **Exciting News: AIGP Health at the Forefront of Generative AI!** We're thrilled to share that our Generative AI capabilities are skyrocketing! 🎉 At AIGP Health, we're not just keeping up with the AI revolution - we're leading it. Our team is working tirelessly to test and evaluate the latest models, ensuring we offer the most cutting-edge solutions in healthcare AI. Why does this matter for you? 🏥 Better patient care 💡 Innovative health solutions 🔬 Groundbreaking research possibilities We're committed to harnessing the power of AI to transform healthcare, making it more efficient, accurate, and accessible for everyone. Want to learn more about how we're shaping the future of healthcare with AI? 👉 Visit our website: https://www.aigp.health 👥 Connect with our team: Message us 🔄 Share this post to spread the excitement! Let's revolutionize healthcare together! #AIinHealthcare #GenerativeAI #HealthTech #Innovation

Building Accountability Into AI-Powered Healthcare 🤝🩺 Healthcare AI tools like AIGP Doc Assist are revolutionizing how we approach patient care—streamlining history-taking, offering differential diagnoses, and providing initial management plans. But as these solutions become more integral to clinical decision-making, the question of accountability grows even more critical. ⚖️ Accountability in healthcare AI means more than just accurate predictions; it involves: 🔍 Transparent Decision Pathways: Clinicians should understand how an AI tool arrived at its conclusions. Clear “explainability” isn’t just a buzzword—it’s essential for trust and informed action. 🛡 Validation & Oversight: Continuous validation, peer review, and regulatory oversight ensure that the technology aligns with evidence-based standards, protects patient safety, and maintains ethical boundaries. 🤝 Shared Responsibility: AI doesn’t replace human judgment; it augments it. Clinicians, data scientists, and healthcare leaders must work together, taking joint responsibility for outcomes and improvements. ♻️ Robust Feedback Loops: Regular feedback from clinicians using AI tools (like AIGP Doc Assist) helps refine these systems. This iterative approach ensures that the technology evolves to better meet patient and provider needs. By weaving accountability into every step of AI development and deployment, we don’t just advance technology—we advance trust, safety, and the very quality of patient care. 🌱✨ The future of healthcare innovation depends on our collective commitment to keeping AI both cutting-edge and accountable.