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S. Rethinking diagnostic pathways in modern healthcare. Presented at: MESI Conference 2026; May 18, 2026; Bled, Slovenia.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli>\n\u003Cp>American Medical Association, Center for Digital Health and AI. 2026 Physician Survey on Augmented Intelligence. March 2026.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli>\n\u003Cp>Goh E, Gallo R, Hom J, et al. Large Language Model Influence on Diagnostic Reasoning: A Randomized Clinical Trial. JAMA Netw Open. 2024;7(10):e2440969. doi:10.1001\u002Fjamanetworkopen.2024.40969\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli>\n\u003Cp>Wolters Kluwer Health \u002F CITE Research. Survey of 518 healthcare professionals on unauthorized (\"shadow\") AI tools. Fielded December 2025; published January 2026.\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Fol>\n\u003C\u002Fdiv>",[2227,2228],{"_modelApiKey":45,"__typename":44,"id":496,"title":488,"slug":497},{"_modelApiKey":45,"__typename":44,"id":57,"title":59,"slug":58},{"schema":2230,"document":2231},"dast",{"type":2232,"children":2233},"root",[2234,2282,2289,2298,2307,2309,2316,2324,2326,2327,2334,2338,2342,2346,2352,2356,2363,2367,2373,2387,2388,2396,2400,2404,2409,2413,2422,2438,2443,2447,2454,2458,2462,2466,2470,2475,2487,2492,2496,2497,2502,2506],{"type":2235,"children":2236},"paragraph",[2237,2240,2244,2246,2249,2251,2255,2257,2259,2261,2270,2272,2280],{"type":2238,"value":2239},"span","Healthcare has never had more diagnostic tools at its disposal. Yet for many clinicians, the working day still starts in a surprisingly familiar way.\n\nOne measurement appears on one screen. Another arrives as a PDF waiting to be uploaded. An ECG sits in a different system behind another login. The information is all there, but it rarely exists in one place. Before a clinical decision can be made, someone has to bring the pieces together. ",{"type":2238,"marks":2241,"value":2243},[2242],"strong","Every single time.",{"type":2238,"value":2245},"\nThe devices themselves are rarely the problem. Most are faster, smarter and more accurate than ever before. The challenge lies in everything between them: disconnected workflows, fragmented data and the time required to turn measurements into meaningful clinical information.\n\nThat challenge is becoming even more important as healthcare embraces artificial intelligence. According to the AMA Physician Survey 2026 [2], ",{"type":2238,"marks":2247,"value":2248},[2242],"81% of U.S. physicians now use AI in clinical practice",{"type":2238,"value":2250},", up from 38% in 2023. Yet despite this rapid adoption, many clinical workflows remain fragmented, making it difficult to fully realise the potential of AI.\n\nThis was one of the central themes in the keynote ",{"type":2238,"marks":2252,"value":2254},[2253],"emphasis","Rethinking Diagnostic Pathways in Modern Healthcare",{"type":2238,"value":2256},", delivered by ",{"type":2238,"marks":2258,"value":2128},[2242],{"type":2238,"value":2260}," at ",{"url":2262,"meta":2263,"type":12,"children":2267},"https:\u002F\u002Fwww.mesiconference.com\u002F",[2264],{"id":2265,"value":2266},"target","_blank",[2268],{"type":2238,"value":2269},"MESI Conference 2026",{"type":2238,"value":2271},". A physician by training who later moved into digital health entrepreneurship, Jungmann now leads ",{"url":2273,"meta":2274,"type":12,"children":2276},"https:\u002F\u002Fwww.aiomics.io\u002F",[2275],{"id":2265,"value":2266},[2277],{"type":2238,"marks":2278,"value":2279},[2242],"aiomics",{"type":2238,"value":2281},", a company focused on applying artificial intelligence and data-driven systems to improve healthcare decision-making.\nWorking at the intersection of medicine, technology and clinical workflows, Jungmann offers a unique perspective on why healthcare still struggles to turn high-quality measurements into connected clinical decisions.",{"type":2235,"children":2283},[2284,2286],{"type":2238,"value":2285},"His message was simple: ",{"type":2238,"marks":2287,"value":2288},[2242],"the future of healthcare will not be shaped by how many tools we add to the system, but by how intelligently we connect them.",{"type":2290,"children":2291,"attribution":2297},"blockquote",[2292],{"type":2235,"children":2293},[2294],{"type":2238,"marks":2295,"value":2296},[2242],"“How could I re-engineer my workflow if it wasn’t there yet?” ","Sven Jungmann, MESI Conference 2026",{"type":2235,"children":2299},[2300,2302,2305],{"type":2238,"value":2301},"As Jungmann reminded the audience early in his keynote, ",{"type":2238,"marks":2303,"value":2304},[2253],"a fool with a tool is still a fool",{"type":2238,"value":2306},". The point was simple: technology alone does not fix broken systems. Without the right workflows, connected data and clinical logic behind it, even the most advanced diagnostic tools can add complexity instead of reducing it. ",{"type":2308},"thematicBreak",{"type":2310,"level":2311,"children":2312},"heading",4,[2313],{"type":2238,"marks":2314,"value":2315},[2242],"Hear it from Sven Jungmann",{"type":2235,"children":2317},[2318,2320,2322],{"type":2238,"value":2319},"The keynote explored only part of the conversation.\nIn this exclusive interview recorded at ",{"type":2238,"marks":2321,"value":2269},[2242],{"type":2238,"value":2323},", Sven Jungmann expands on the challenges of fragmented diagnostics, data quality, AI and the future of connected healthcare.",{"item":2185,"type":2325},"block",{"type":2308},{"type":2310,"level":464,"children":2328},[2329,2332],{"type":2238,"marks":2330,"value":2331},[2242],"Better devices, same old workflows",{"type":2238,"value":2333}," ",{"type":2235,"children":2335},[2336],{"type":2238,"value":2337},"For years, healthcare innovation has focused on improving individual diagnostic devices. Better ECG systems, faster spirometry, smarter wearables and increasingly advanced imaging technologies have all contributed to a more precise and data-rich clinical environment. But while the tools themselves have evolved, the pathways around them often have not. ",{"type":2235,"children":2339},[2340],{"type":2238,"value":2341},"This is often where the real complexity begins, not in the measurement itself, but in everything around it. ",{"type":2235,"children":2343},[2344],{"type":2238,"value":2345},"In many healthcare settings, diagnostics still happen in fragments. One device produces one result, another device stores data elsewhere, and clinicians are left switching between interfaces, manually transferring information and piecing together a patient’s story across disconnected systems. Each step may feel manageable on its own, but together they create a workflow that is far more complex than it needs to be. \nThis is what fragmented diagnostics often look like in practice: clinical workflows where measurements, patient data and diagnostic reports are generated across disconnected devices and systems, without a seamless path between them. \nAt the core of this challenge is interoperability, or the lack of it. Without interoperability, data loses context. And without context, decision-making slows down. ",{"type":2310,"level":464,"children":2347},[2348,2351],{"type":2238,"marks":2349,"value":2350},[2242],"The cost of fragmentation is often invisible",{"type":2238,"value":2333},{"type":2235,"children":2353},[2354],{"type":2238,"value":2355},"The cost of this fragmentation is rarely obvious because it is spread across the entire clinical day. It is the extra minutes spent logging into another system, the printed report waiting to be scanned, the manual transcription into the electronic medical record, or the follow-up call to check whether a result has actually been uploaded. None of these moments seem significant in isolation, but over time they add up to hours of lost clinical capacity. \nJungmann’s broader work in digital health often comes back to one important idea: innovation is not always about learning something new. Sometimes it is about unlearning systems and habits that no longer serve modern medicine.  ",{"type":2235,"children":2357},[2358,2360],{"type":2238,"value":2359},"As he put it,",{"type":2238,"marks":2361,"value":2362},[2242]," sometimes innovation means removing friction, not adding features. ",{"type":2235,"children":2364},[2365],{"type":2238,"value":2366},"This is particularly relevant in diagnostics, where many workflows still reflect legacy models built for a slower, less connected era. ",{"type":2310,"level":464,"children":2368},[2369,2372],{"type":2238,"marks":2370,"value":2371},[2242],"Data is not the problem. Data quality is.",{"type":2238,"value":2333},{"type":2235,"children":2374},[2375,2377,2380,2382,2385],{"type":2238,"value":2376},"The challenge today is no longer collecting more data. Healthcare already produces enormous amounts of it. The real challenge is making that data usable, accessible and meaningful at the exact moment it is needed.\nAs Jungmann pointed out, AI is powerful, but only if the foundations underneath it are strong enough. This is where one of the most important principles of digital medicine becomes impossible to ignore: ",{"type":2238,"marks":2378,"value":2379},[2242],"garbage in, garbage out",{"type":2238,"value":2381},".\n\nJungmann referenced recent findings published in ",{"type":2238,"marks":2383,"value":2384},[2253],"JAMA Network Open",{"type":2238,"value":2386},", where physicians working alone achieved diagnostic reasoning scores of 73.7%, physicians supported by GPT-4 scored 76.3%, while GPT-4 alone reached 92.0%.",{"item":2206,"type":2325},{"type":2290,"children":2389,"attribution":2395},[2390],{"type":2235,"children":2391},[2392],{"type":2238,"marks":2393,"value":2394},[2242],"If things are scattered everywhere, you’re skipping a step.","Sven Jungmann, MESI Conference 2026 ",{"type":2235,"children":2397},[2398],{"type":2238,"value":2399},"The numbers are impressive, but they also raise an important question: if AI can outperform clinicians in isolated scenarios, what happens when the data feeding that system is incomplete, fragmented or inconsistent?",{"type":2235,"children":2401},[2402],{"type":2238,"value":2403},"No matter how advanced an AI model, analytics platform or clinical decision-support system becomes, the quality of its output will always depend on the quality of the data going in. If diagnostic data is incomplete, inconsistent, manually entered or scattered across multiple disconnected systems, the insights built on top of it will inevitably carry the same weaknesses.\nThis is not just a technical issue. It is becoming one of the most important clinical challenges of modern healthcare.",{"type":2310,"level":464,"children":2405},[2406],{"type":2238,"marks":2407,"value":2408},[2242],"Data quality is becoming clinical infrastructure",{"type":2235,"children":2410},[2411],{"type":2238,"value":2412},"As healthcare moves further into predictive analytics, automation and AI-supported decision-making, structured and standardized diagnostic data becomes essential. Without it, healthcare risks building increasingly sophisticated systems on unstable foundations. Data quality can no longer be seen as an administrative or IT concern sitting somewhere in the background. It is becoming part of the clinical infrastructure itself.",{"type":2235,"children":2414},[2415,2417,2420],{"type":2238,"value":2416},"At the same time, rapid AI adoption is creating new governance challenges. Jungmann highlighted that ",{"type":2238,"marks":2418,"value":2419},[2242],"40% of healthcare professionals have already encountered unauthorised AI tools",{"type":2238,"value":2421}," within their organisations, showing how quickly technology can outpace structured clinical systems.",{"type":2235,"children":2423},[2424,2426,2433,2435],{"type":2238,"value":2425},"Reliable, structured data changes the way care is delivered. It allows clinicians to ",{"item":496,"meta":2427,"type":2429,"children":2430},[2428],{"id":2265,"value":2266},"itemLink",[2431],{"type":2238,"value":2432},"make decisions faster",{"type":2238,"value":2434},", improves continuity of care and makes it easier to compare results over time. It also strengthens collaboration between teams, because everyone works from the same, up-to-date clinical picture. ",{"type":2238,"marks":2436,"value":2437},[2242],"In preventive care especially, this can make a significant difference, allowing risks to be identified earlier and interventions to happen sooner.",{"type":2310,"level":464,"children":2439},[2440],{"type":2238,"marks":2441,"value":2442},[2242],"Not all costs are measured in time",{"type":2235,"children":2444},[2445],{"type":2238,"value":2446},"But not all of this is measured in minutes. Some of it is measured in attention. Every additional login, every manual transfer and every disconnected report creates cognitive overhead.",{"type":2290,"children":2448,"attribution":2395},[2449],{"type":2235,"children":2450},[2451],{"type":2238,"marks":2452,"value":2453},[2242],"We always tend to think time is our scarcest resource, but it really is our attention.",{"type":2235,"children":2455},[2456],{"type":2238,"value":2457},"Every disconnected workflow asks something extra from clinicians. They need to remember where data is stored, whether it has been uploaded correctly, which version is the latest and whether the information in front of them can be trusted. These small moments of uncertainty create friction, and over time that friction becomes mental strain.",{"type":2235,"children":2459},[2460],{"type":2238,"value":2461},"In healthcare systems that are already under pressure, this matters more than ever.",{"type":2235,"children":2463},[2464],{"type":2238,"value":2465},"Burnout is not only driven by workload. It is also driven by complexity, inefficiency and the constant mental effort required to navigate systems that should be making work easier.",{"type":2235,"children":2467},[2468],{"type":2238,"value":2469},"Technology should reduce that burden, not add to it.",{"type":2310,"level":464,"children":2471},[2472],{"type":2238,"marks":2473,"value":2474},[2242],"The future of diagnostics is connected",{"type":2235,"children":2476},[2477,2479,2485],{"type":2238,"value":2478},"This is why the conversation around diagnostics needs to evolve. The goal should not simply be to introduce more tools into clinical practice, but to create ",{"item":57,"meta":2480,"type":2429,"children":2482},[2481],{"id":2265,"value":2266},[2483],{"type":2238,"value":2484},"connected diagnostic ecosystems",{"type":2238,"value":2486}," where every measurement contributes to one unified patient story. Diagnostics should not exist as isolated events, but as part of a larger clinical infrastructure designed to support faster decisions, clearer insights and more effective collaboration.\nThat is ultimately the shift Jungmann challenged the audience to consider. The question is no longer whether healthcare can collect more data. It clearly can.",{"type":2235,"children":2488},[2489],{"type":2238,"marks":2490,"value":2491},[2242],"The more important question is whether healthcare can create a single source of truth from the data it already has, and whether the systems around it are designed to turn that data into meaningful action.",{"type":2235,"children":2493},[2494],{"type":2238,"value":2495},"Because the hidden costs of fragmented diagnostics are rarely found in the devices themselves. More often, they appear in the time lost between them, in delayed decisions, in administrative overload and in missed opportunities to act earlier.\nAnd in modern healthcare, those are often the costs that matter most.",{"type":2308},{"type":2310,"level":2311,"children":2498},[2499],{"type":2238,"marks":2500,"value":2501},[2242],"About Sven Jungmann:",{"type":2235,"children":2503},[2504],{"type":2238,"value":2505},"Sven Jungmann’s work sits at the intersection of medicine, artificial intelligence and digital health systems. Through his work at aiomics and across the wider healthcare innovation space, he continues to challenge how healthcare thinks about data, workflows and decision-making. His message at MESI Conference 2026 reflected a growing reality: in a future shaped by AI, diagnostics will only be as powerful as the systems that connect them.",{"item":2221,"type":2325},{"alt":2128,"url":2508,"width":2509,"height":2510,"responsiveImage":2511},"https:\u002F\u002Fwww.datocms-assets.com\u002F160495\u002F1784031152-sven-jungmann-final.png",1672,941,{"srcSet":2512,"webpSrcSet":2513,"sizes":2514,"src":2515,"width":2516,"height":961,"aspectRatio":2517,"alt":2128,"title":2128,"bgColor":2518,"base64":2519},"https:\u002F\u002Fwww.datocms-assets.com\u002F160495\u002F1784031152-sven-jungmann-final.png?ar64=MjE6OQ&auto=compress&crop=focalpoint&dpr=0.25&fit=crop&w=1440 360w,https:\u002F\u002Fwww.datocms-assets.com\u002F160495\u002F1784031152-sven-jungmann-final.png?ar64=MjE6OQ&auto=compress&crop=focalpoint&dpr=0.5&fit=crop&w=1440 720w,https:\u002F\u002Fwww.datocms-assets.com\u002F160495\u002F1784031152-sven-jungmann-final.png?ar64=MjE6OQ&auto=compress&crop=focalpoint&dpr=0.75&fit=crop&w=1440 1080w,https:\u002F\u002Fwww.datocms-assets.com\u002F160495\u002F1784031152-sven-jungmann-final.png?ar64=MjE6OQ&auto=compress&crop=focalpoint&fit=crop&w=1440 1440w","https:\u002F\u002Fwww.datocms-assets.com\u002F160495\u002F1784031152-sven-jungmann-final.png?ar64=MjE6OQ&auto=compress&crop=focalpoint&dpr=0.25&fit=crop&fm=webp&w=1440 360w,https:\u002F\u002Fwww.datocms-assets.com\u002F160495\u002F1784031152-sven-jungmann-final.png?ar64=MjE6OQ&auto=compress&crop=focalpoint&dpr=0.5&fit=crop&fm=webp&w=1440 720w,https:\u002F\u002Fwww.datocms-assets.com\u002F160495\u002F1784031152-sven-jungmann-final.png?ar64=MjE6OQ&auto=compress&crop=focalpoint&dpr=0.75&fit=crop&fm=webp&w=1440 1080w,https:\u002F\u002Fwww.datocms-assets.com\u002F160495\u002F1784031152-sven-jungmann-final.png?ar64=MjE6OQ&auto=compress&crop=focalpoint&fit=crop&fm=webp&w=1440 1440w","(max-width: 1440px) 100vw, 1440px","https:\u002F\u002Fwww.datocms-assets.com\u002F160495\u002F1784031152-sven-jungmann-final.png?ar64=MjE6OQ&auto=compress&crop=focalpoint&fit=crop&w=1440",1440,2.3338735818476497,"#c2764d","data:image\u002Fjpeg;base64,\u002F9j\u002F4AAQSkZJRgABAQAAAQABAAD\u002F2wCEAAoHBwgHBgoICAgLCgoRDhgODxkZDhoODQ0QFx8ZGBYWFhUmHysjGh0oKRUWJDUlKC0vMjIyGSI4PTcwPCsxMi8BCgsLDgsOHA0NHC8cFhw7OzsvLy8vLy8vLy8vOy8vLy8vLy8vLy8vLy8vLy8vLy8vLy8vLy8vLy8vLy8vLy8vL\u002F\u002FAABEIAAsAGAMBIgACEQEDEQH\u002FxAAZAAABBQAAAAAAAAAAAAAAAAAEAAEFBgf\u002FxAAfEAABBAICAwAAAAAAAAAAAAABAAIDEQUGITUEFBX\u002FxAAVAQEBAAAAAAAAAAAAAAAAAAADAP\u002FEABgRAAMBAQAAAAAAAAAAAAAAAAABITEC\u002F9oADAMBAAIRAxEAPwDWZ+vq1E7BKyLAUSjPLe70Ryqtt0sgwopxU3S5cCcLIPlFwTIXWSXYPk2klTgL0\u002F\u002FZ","The hidden costs of fragmented diagnostic workflows ",{"noIndex":68},{"left":2069,"top":2069,"width":2070,"height":2070,"rotate":2069,"vFlip":68,"hFlip":68,"body":2523},"\u003Cg fill=\"none\">\u003Cg id=\"play\">\n\u003Cpath id=\"Vector\" d=\"M17.5956 11.4481L9.71626 6.62959C9.61671 6.56783 9.50235 6.53407 9.38522 6.53185C9.26809 6.52964 9.15253 6.55906 9.05071 6.61701C8.94964 6.67256 8.86544 6.75437 8.80701 6.8538C8.74859 6.95324 8.71809 7.0666 8.71876 7.18193V16.819C8.71809 16.9343 8.74859 17.0477 8.80701 17.1471C8.86544 17.2465 8.94964 17.3283 9.05071 17.3839C9.15253 17.4418 9.26809 17.4713 9.38522 17.469C9.50235 17.4668 9.61671 17.4331 9.71626 17.3713L17.5956 12.5528C17.6905 12.4951 17.7689 12.414 17.8233 12.3173C17.8777 12.2206 17.9062 12.1114 17.9062 12.0004C17.9062 11.8895 17.8777 11.7803 17.8233 11.6836C17.7689 11.5869 17.6905 11.5058 17.5956 11.4481Z\" fill=\"currentColor\"\u002F>\n\u003C\u002Fg>\u003C\u002Fg>",{"left":2069,"top":2069,"width":2070,"height":2070,"rotate":2069,"vFlip":68,"hFlip":68,"body":2525},"\u003Cg fill=\"none\">\u003Cg id=\"arrow-down\">\n\u003Cpath id=\"Vector\" d=\"M19.281 14.0306L12.531 20.7806C12.4614 20.8504 12.3787 20.9057 12.2876 20.9434C12.1966 20.9812 12.099 21.0006 12.0004 21.0006C11.9019 21.0006 11.8043 20.9812 11.7132 20.9434C11.6222 20.9057 11.5394 20.8504 11.4698 20.7806L4.71979 14.0306C4.57906 13.8899 4.5 13.699 4.5 13.5C4.5 13.301 4.57906 13.1101 4.71979 12.9694C4.86052 12.8286 5.05139 12.7496 5.25042 12.7496C5.44944 12.7496 5.64031 12.8286 5.78104 12.9694L11.2504 18.4397V3.75C11.2504 3.55109 11.3294 3.36032 11.4701 3.21967C11.6107 3.07902 11.8015 3 12.0004 3C12.1993 3 12.3901 3.07902 12.5307 3.21967C12.6714 3.36032 12.7504 3.55109 12.7504 3.75V18.4397L18.2198 12.9694C18.3605 12.8286 18.5514 12.7496 18.7504 12.7496C18.9494 12.7496 19.1403 12.8286 19.281 12.9694C19.4218 13.1101 19.5008 13.301 19.5008 13.5C19.5008 13.699 19.4218 13.8899 19.281 14.0306Z\" fill=\"currentColor\"\u002F>\n\u003C\u002Fg>\u003C\u002Fg>",1787202232414]