How Technology is Transforming Healthcare Design

As I work at the intersection of healthcare design and technology, certain patterns are emerging that suggest profound changes in how we'll deliver care. Here are five shifts I believe we'll see: First, AI won't just assist with decisions - it will transform how we make them. Providers will move from reviewing individual data points to understanding complex patterns across time and populations. Imagine specialists across disciplines having the time and insight to truly collaborate on complex cases: an oncologist and cardiologist deeply discussing treatment implications, supported by AI-surfaced patterns from thousands of similar cases. These rich, cross-disciplinary conversations will lead to more nuanced, coordinated care decisions. Second, as AI manages standard protocols and data analysis, provider time will shift dramatically. Instead of spending hours on documentation and routine analysis, clinicians will focus on the nuanced work of understanding patient contexts and goals. Conversations will deepen. Treatment plans will become more personalized. The human elements of care - understanding individual values, circumstances, and preferences - will take center stage. Third, care delivery will become more proactive and precise. AI will help identify subtle signs of health changes before they become critical, enabling earlier interventions. Care teams will shift from reactive response to proactive planning. Preventive care will become more targeted and effective, based on sophisticated understanding of individual risk factors and social determinants of health. Fourth, the technology itself will continuously evolve based on real-world outcomes. Treatment protocols will adapt in real time based on emerging evidence and individual patient responses. Care pathways will become more dynamic and personalized, learning from each patient interaction to improve future care delivery. Finally, these changes will reshape the physical and operational structure of healthcare. We'll need different kinds of spaces - ones designed for deeper conversations and collaborative decision-making. Workflow patterns will change as routine tasks become automated. Team structures will evolve to support more integrated, proactive care delivery. The future of healthcare delivery will require fundamentally rethinking how we provide care when technology can handle routine tasks and help us see patterns we might otherwise miss. This transformation offers an unprecedented opportunity to make healthcare more human, more proactive, and more effective.

At ViVE I had the opportunity to discuss how Generative AI (Gen-AI) is reshaping healthcare along with Dan Sheeran (he/him) Nina Kottler, MD, MS, FSIIM and Monique Rasband. AI in imaging has been around, but Gen-AI brings new intelligence, adaptability, and efficiency. What Sets Gen-AI Apart? ✅ Multimodal Capabilities – Health data exists in many forms: transcripts, images, audio, and device readings. Traditional AI struggles with this diversity, but Gen-AI seamlessly integrates and analyzes it all. ✅ Faster Model Development – Traditional AI models take years— can go over two for a single brain region like the hippocampus. Foundation models leverage zero- and few-shot learning, accelerating this dramatically. Research from SonoSam (ULS FM) showed 90%+ accuracy on anatomies it wasn’t trained on, like fetal head and breast lesions. Imagine starting at 90% baseline performance! ✅ Explainability & Reasoning – Unlike traditional AI’s “black box,” foundation models explain their decisions, making them more transparent and interactive. ✅ Lower IT Costs & Scalability – Instead of managing hundreds of specialized models, healthcare organizations can use a few highly capable models, reducing IT complexity and streamlining updates. Real-World Impact and ROI: AI in Action A key ViVE discussion was how these technologies are transforming patient care and delivering ROI: ➡️ AI-Powered Command Centers – Acting as real-time intelligence hubs, they optimize patient flow, predict ICU admissions, and reduce length of stay using predictive analytics. Hospitals can proactively improve efficiency and outcomes. ➡️ Full-Body X-ray Foundation Models – These models can potentially enable opportunistic screening, using existing imaging data to detect conditions beyond the original scan purpose, helping reduce costs and improve preventive care. ➡️ Auto-Segmentation on CT Scans – Gen-AI cuts radiation therapy planning time from hours/days to minutes, ensuring faster, more precise treatment. Securing AI in Healthcare As we integrate these advancements, security remains critical: 1️⃣ Data Privacy & Compliance – HIPAA/GDPR compliance, encryption, and anonymization. 2️⃣ Adversarial Protection – Preventing prompt injections, model manipulation, and poisoning attacks. 3️⃣ Deployment Security – API authentication, access controls, and real-time validation. 4️⃣ Regulatory Oversight – Audit logs, explainability, and robust risk assessment. The ViVE discussions reinforced that Gen-AI isn’t just about efficiency—it’s reshaping patient care. #ViVE2025 #AI #HealthcareAI #Radiology #GenAI #DigitalTransformation

An idea I've become obsessed with is -    Harnessing the power of data in healthcare   This silent revolution is transforming the industry and saving lives.   I stress on my philosophy of the 3 E’s, when I see data making a difference   1. Data is used as an Enabler for Drone Deliveries in Rwanda   Using real-time data, drones deliver blood to remote areas.   This technology ensures timely medical supplies, saving countless lives.   Data-driven logistics make this possible.    2. AI-Driven Health Platforms use data to Engage   In the U.S., platforms like IBM Watson Health use AI to analyze massive datasets.   These insights improve cancer treatments and patient outcomes.   Data doesn’t just inform—it heals.   3. Predictive Analytics Educates people for better care   Hospitals use predictive analytics to foresee patient needs.   This helps in resource allocation and reduces wait times.   Better care through data.   These advancements show how data is revolutionizing healthcare.    It puts forth the benefits people get in the most rural of areas   By simply using data as an enabler for change.    At the core of it lies a data centric approach!    P.S. How is data impacting your industry?    

𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗖𝗮𝗿𝗲: 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 My latest article explores how healthcare organizations shift from reactive treatment to proactive prediction, delivering better outcomes and impressive ROI. 𝗧𝗵𝗲 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆: • 86% of healthcare dollars go to treating chronic diseases rather than preventing them • Conditions typically progress 2-3 years before diagnosis • About 40% of premature deaths in the US are preventable through earlier intervention 𝗧𝗵𝗿𝗲𝗲 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝘃𝗲 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: • Data Integration across clinical, claims, social, and patient-generated sources • Machine Learning that detects patterns invisible to human analysis • Workflow Automation, translating predictions into actionable clinical pathways 𝗥𝗲𝗮𝗹 𝗥𝗲𝘀𝘂𝗹𝘁𝘀: • 25% reduction in readmissions with $4.3M first-year savings (Midwest health system) • Earlier sepsis detection reduces mortality and length of stay (Academic medical center) • Reduced progression to clinical diabetes through early identification (Primary care network) 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗬𝗼𝘂𝗿 𝗢𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻: • How are you identifying patients who would benefit from earlier intervention? • What preventable adverse events could be predicted with your existing data? • Have you quantified the economic impact of moving to a proactive care model? Would you like to discuss implementing predictive care in your organization? I'd love to explore approaches tailored to your specific needs and challenges. Schedule a complimentary call by clicking this link: https://lnkd.in/gBu_uP2C You can read the full article by clicking the link below.

Healthcare isn’t just happening in clinics anymore—it’s happening on your wrist. Here’s the scoop: the convergence of wearable devices and AI is no longer just a Silicon Valley experiment—it’s transforming patient care as we know it. Here’s what’s happening: → Continuous Health Monitoring AI-powered wearables are now tracking vital signs around the clock. This real-time monitoring means early detection of health issues—catching concerns before they escalate (source: Current Research in Health Sciences). → Significant Market Growth The wearable AI market is projected to grow from $51.9 billion in 2023 to a massive $160.4 billion by 2030, and the wearable medical device market is expected to hit $196.5 billion by 2030 (sources: GlobeNewswire, Devpulse). Healthcare is going digital, fast. → Improved Patient Outcomes Patients using wearables for chronic disease management have seen a 30% reduction in hospital readmissions. The result? Proactive care and better health outcomes (source: GlobeNewswire). → Rising Consumer Adoption Currently, 46% of Americans are tracking their health with wearable devices, and this number is climbing as technology advances and becomes even more user-friendly (source: RockHealth). But there’s more: The rise of these tools brings big questions about data privacy and integration with existing healthcare systems. The bottom line? Wearable tech and AI are paving the way for a healthcare future that’s personal, proactive, and precise. Are we ready for a world where our health data follows us everywhere? Let’s talk about what this means for the future of healthcare.