Adrian Kochsiek

🚀 𝗦𝘁𝗮𝗿𝘁𝘂𝗽𝘀 + 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗚𝗧𝗠 𝗥𝗲𝗮𝗹𝗶𝘁𝘆 𝗖𝗵𝗲𝗰𝗸 Most founders 𝘂𝗻𝗱𝗲𝗿𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗲 𝘁𝗶𝗺𝗲 𝘁𝗼 𝗿𝗲𝘃𝗲𝗻𝘂𝗲. Healthcare moves differently — and slower — than traditional SaaS. In 2025, here’s what founders MUST know to win: ✅ Sales cycles are long (9–24 months is normal) ✅ Clinical + compliance validation matter ✅ Workflow fit beats “cool tech” every time ✅ Champions alone aren’t enough — you need cross-functional buy-in ✅ Pilots ≠ revenue — plan for conversion early Success isn’t just having a great product… It’s understanding how the system buys, adopts, and measures value. The winners? Teams who build trust, solve real workflow pain, and stay focused on outcomes. 𝗕𝘂𝗶𝗹𝗱 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 — 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝘁𝗵𝗲 𝗽𝗶𝘁𝗰𝗵 𝗱𝗲𝗰𝗸. At 𝗖𝗼𝗽𝗽𝗲𝗿𝗹𝗲𝗮𝗳 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴 𝗚𝗿𝗼𝘂𝗽, we help digital health + MedTech innovators accelerate go-to-market, refine strategy, and connect with the right partners to scale. 📩 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝘀𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝗲𝗻 𝘆𝗼𝘂𝗿 𝗚𝗧𝗠 𝗽𝗮𝘁𝗵? 𝗟𝗲𝘁’𝘀 𝘁𝗮𝗹𝗸. [email protected] Calendly: https://lnkd.in/gy7zh_5W #DigitalHealth #Startups #GTM #HealthcareInnovation #FractionalCXO #MedTech #Strategy #CopperleafConsultingGroup

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Wird KI helfen, die Pflegekrise zu lösen? Will AI help solve the nursing shortage crisis? AI is becoming a big topic in healthcare discussions. But for hospitals and nursing teams facing real workforce shortages, the real question is simpler: Can AI help healthcare systems cope with the shortage of nurses? Today, a significant part of a nurse’s time is spent on documentation, protocols, and coordination across teams. Patient notes, compliance requirements, and administrative updates can easily take up hours of a shift. This is where AI can start to make a real difference. At BorderPlus, we are developing two platforms designed around the realities of modern nursing and global mobility. BorderPlus AI Nurse Companion - Built to support nurses from exam preparation to confident hospital work in Germany. It helps nurses prepare for the Kenntnisprüfung, practice real clinical scenarios, learn hospital workflows, and access real-time guidance through the Ask-Me-Anything (AMA) feature during shifts. For hospitals, it speeds up exam readiness, simplifies onboarding, reduces dependency on senior staff, and ensures consistent adherence to clinical protocols. BorderPlus AI CarePilot - An AI-powered documentation assistant built for clinical environments. Instead of typing long patient notes, nurses can document care via speech, which is automatically converted into structured reports. It also provides real-time MD-compliance & quality feedback, helping ensure documentation aligns with care facility protocols and regulatory standards. The result: •⁠ ⁠Less time spent typing  • More accurate documentation  • Reduced operational risk The European Commission has highlighted AI as a key driver for making healthcare more efficient and sustainable. AI will help by reducing administrative workload and helping international nurses integrate faster, it can make existing nursing teams more effective. In a system where every nurse is already stretched, even small improvements in time, efficiency, and support can help healthcare systems better cope with the growing nursing shortage.

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Reinventing healthcare norms is a journey… Virgílio Bento founded Sword Health in 2015, he wasn’t chasing trends. He was fighting for change in a world of physical therapy stuck in tradition. Patients, providers, and investors doubted that sensors and AI could ever replace the “hands on” model. For years, Bento heard more no’s than yeses. But he refused to quit. He knew the real problem wasn’t technology, it was access. Millions were dropping out of therapy because it was too expensive, too inconvenient, or too one size fits all. Sword Health’s solution was AI guided motion sensors that let patients recover at home with therapists monitoring progress remotely. What began as resistance turned into proof. Patients recovered faster, insurers saw real savings, and adoption spread quickly. Less than a decade later, Sword Health went from a scrappy outsider to a $3 billion digital health unicorn. 🔑 The lesson? Every breakthrough looks impossible until the results speak louder than the doubt.

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Major Milestone: ABENA IHR Testnet Now Live 🦾 🦾 I'm excited to announce that the ABENA Integrative Health Record blockchain testnet is now publicly accessible! After months of development, our quantum-ready healthcare blockchain is live and fully functional testnet demonstrating the future of patient-controlled health data. What We've Deployed: 18 custom Substrate pallets purpose-built for integrative medicine Patient identity management with privacy-first architecture Health record hashing and verification systems Quantum computing integration framework Fee abstraction model (zero patient fees, institutional subscriptions) Enterprise-grade infrastructure with SSL security Why This Matters: Traditional EHR systems weren't designed for the complexity of integrative medicine—botanical medicines, supplements, lifestyle interventions, genetics, and conventional pharmaceuticals all need to work together in one comprehensive record. ABENA solves this by ensuring our blockchain foundation provides: Patients own and control their health data Interoperability across healthcare providers Quantum-resistant security for long-term data protection Transparent, auditable health records Try It Yourself: Visit https://lnkd.in/gpxibHQk and connect to our testnet endpoint to explore the live blockchain. Developers and healthcare innovators are welcome to review our architecture. 🤜 🤛 What's Next: We're actively seeking: The future of healthcare data is decentralized, patient-controlled, and quantum-ready. ABENA is making it real. Endpoint: wss://testnet.abenaihr.com Website: http://abenaihr.com Contact: [email protected] Janice MV Knox MD, MBA ABENA IHR (DK Technologies), CEO http://abenaihr.com

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Worlds First Open Source AI Based on Ethics! I am blown away with this open source and transparent platform. I met Eric Moore last year and when I saw what he was working on, I was immediately intrigued by his background and his vision. I have seen all the hard work and I have seen it come to life. Congrats Eric Moore! I believe this will be one of the standard AI platforms for industries where Ethical Reasoning, Compliance, and Accountability are Paramount. Look into it!

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❔ Digital health companies, ever heard about "PDURS"? Me not, till a few weeks ago and I got a speed course when meeting American Telemedicine Association last week in Berlin. 🔎 Prescription Drug Use-Related Software (#PDURS) refers to computer programs and applications that help doctors and patients manage the use of prescription medications. This can include things like mobile apps that remind you to take your medicine, software that tracks how well your medication is working, and programs that provide information about potential side effects and interactions with other drugs. 🇺🇸 The U.S. Food and Drug Administration (FDA) has introduced new guidelines for these types of software aiming to protect public health. These guidelines help ensure that the software is accurate, user-friendly, and secure, so that both doctors and patients can trust and benefit from using them. Benefits of the new guidelines: 👉 Enhanced educational resources: 👉 Improved communication with healthcare providers 👉 Enhanced safety and reliability 👉 Personalized medication management 📃 FDA guideline: https://lnkd.in/eXg7XjxD 🇪🇺 How is Europe dealing under #MDR with these drug-device combines products which appear more and more? 🙏 Thanks to Ann Mond Johnson, Andy Molnar and Emilie Lopes-Fernandes for the inspirational conversations. #regulation #pharma #healthcare #medicaldevicesoftware #patientsafety #medicationmanagement

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Germany’s updated Digitalisation Strategy for Health sets the right focus: interoperable infrastructures, meaningful use of health data, and digital tools that genuinely improve care. https://lnkd.in/dZGtsUh6 This is a clear call for action and a necessary element of an agenda where health system is increasingly under pressure, and pressure will increase further. The challenge however is not technology alone. Tons of applications which in themselves all make somewhat sense. But. It is clinical integration, regulatory robustness, data sovereignty, and measurable benefit in real-world settings. Digital health must move from pilot projects to validated, scalable standards. Herein a new class of products, explainable regulated CE-compliant clinical AI, will play a highly relevant and needed role. In this context, CE-certified Class IIb medical software plays clearly and expectedly a distinct role. And this is why Prof. Valmed® - validated medical information GmbH is positioned as a CE-regulated medical intelligence layer — designed to support clinical decision-making within compliant IT ecosystems, with documented intended use, risk management, and post-market obligations. Digital transformation in healthcare will succeed only if innovation is evidence-based, interoperable, and aligned with regulatory and clinical reality. Dr. Vera Roedel Heinz Wiendl

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🇨🇭 Switzerland’s digital health market didn’t “recover” in 2025 — it concentrated 💥 The headline number looks healthy: $385.0M invested across 2025 💰 with an average deal size of $11.3M. But the rhythm tells the real story 📉📈 Q4 alone hit $193.1M (8 deals; $24.1M average) after a quiet Q3 at $22.3M (8 deals; $2.8M average). That’s not a smooth curve. It’s investors making fewer, bigger bets 🎯 — and waiting for conviction 🧠. Zoom in on November 🔎: one quarter-defining round can reshape the whole chart. Distalmotion’s $150.0M round (Series G) is basically a market signal 📣: late-stage, category leaders can still command capital when the story is undeniable. Where did the money cluster? 🧭 🇨🇭🩺 Telemedicine led with $150.0M (39%) 🇨🇭🧪 Research Solutions: $70.3M (18%) 🇨🇭🧫 Medical Diagnostics: $68.7M (18%) 🇨🇭📡 Remote Devices: $45.8M (12%) Therapeutic emphasis is equally telling 🧩: 🇨🇭🔪 Surgery ($156.0M) 🇨🇭❤️ Cardiovascular diagnostics (~$123.0M) 🇨🇭🎗️ Oncology ($121.7M) Big, high-value clinical domains where ROI is easier to defend ✅ (if outcomes are real). The takeaway I’m using 📝: If you’re building in 🇨🇭 Swiss digital health, “being good” isn’t the bar. You need a thesis that survives diligence 🔍, reimbursement logic 💳, and enterprise adoption 🏥 — because capital is showing up in bursts ⚡, not in a steady flow. And don’t ignore the liquidity signal 🚪: 5 ventures exited (IPO or acquisition) in the same period. That matters for sentiment 😮‍💨 — and for how VCs price the next round 📊. If you’re fundraising in 2026, I’m happy to compare notes 🤝 on what these patterns imply for positioning and timing. Further reading 📚: Research: https://lnkd.in/eWHdTbyb Data: www.healthtechalpha.com Global report: #DigitalHealth #VentureCapital #Switzerland #jpm26 #funding #healthtech

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avi in the Handelsblatt 🚀🧾 At avi, we set a new standard how primary care is done. We don’t measure success by visits, documentation or throughput but a healthier population. We track outcomes, we see the results, and we take responsibility for the full care journey. The Handelsblatt reports on how we use AI-powered technology at avi to fundamentally change everyday primary care — not as an add-on, but as a cornerstone of how medicine is delivered. Technology is what makes this possible. AI enables fully searchable patient data across documents, identifies relevant pre-conditions, flags preventive gaps and supports physicians with medical signals at the right moment. This is not only about better workflows or fewer clicks — it directly supports better medical decision-making, while decisions remain firmly with doctors . We believe to really improve health, understanding medical context is essential. That’s why we run own clinics, employs own doctors and build own technology that reduce noise and help clinicians focus on what actually matters: patients 💜 Proud of the entire avi team pushing this forward every day. You can read the whole article here: https://lnkd.in/dKRBn4NH #avi #primarycare #digitalhealth #betteroutcomes

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In regions struggling with doctor shortages, AI-powered telemedicine could revolutionize healthcare delivery. Research from Last Mile Health and IntechOpen shows promising results, but critical questions remain: how do we ensure private telehealth companies serve public health goals rather than cherry-picking profitable patients? Our Vienna Summit's "AI in Telemedicine" session examines partnership models where government health ministries collaborate with private tech firms to extend healthcare reach. What regulatory frameworks build trust while encouraging innovation? We'll explore how public-private partnerships can make AI healthcare accessible to the last mile: aifod.org/agenda/ The challenge is balancing innovation incentives with universal access mandates. When done right, these partnerships can leapfrog traditional healthcare infrastructure limitations. Be part of designing inclusive telemedicine models: aifod.org/Vienna-summit and join our network: aifod.org/invitation Reference: https://lastmilehealth.org and https://intechopen.com #AIHealthcare #Telemedicine #HealthcarePartnerships #ViennaSummit #DigitalHealth #HealthEquity #GlobalHealth #AIForGood

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𝗣𝗿𝗼𝘂𝗱 𝘁𝗼 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝘁𝗵𝗶𝘀 𝗺𝗶𝗹𝗲𝘀𝘁𝗼𝗻𝗲 𝗳𝗿𝗼𝗺 𝗘𝘃𝗼𝗖𝗮𝗿𝗲 𝗮𝗻𝗱 𝗺𝘆 𝗹𝗼𝗻𝗴𝘁𝗶𝗺𝗲 𝗰𝗼𝗹𝗹𝗲𝗮𝗴𝘂𝗲 Achim Dr. Hein 🚀 The launch of 𝗚𝗲𝗿𝗺𝗮𝗻𝘆’𝘀 𝗳𝗶𝗿𝘀𝘁 𝗯𝗹𝗼𝗰𝗸𝗰𝗵𝗮𝗶𝗻-𝗯𝗮𝘀𝗲𝗱 𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝗮𝗽𝗽 is more than just a tech upgrade — it’s a strategic response to the growing pressure on outpatient care systems. EvoCare’s integration of data sovereignty, smart incentives, and scalable #teletherapy shows what’s possible when innovation meets real-world needs. Strongly recommended for anyone working at the intersection of digital health, rehabilitation, and investment. #BlockchainHealth #SmartCare #DigitalTherapy #TeleRehab #EvoCare #HealthTech #FutureOfCare

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Finally met “virtual friends” in person at #Apollos #IPSC. Sharing ideas over a meal, meaningful conversations, and a common mission—to take accreditation to the next level—made this experience truly special. A highlight was revisiting #ISQua CEO Dr. Carsten Engel’s powerful message: “The requirements remain the same, but not the way in which we assess if they are met.” Call for continuous support, micro-assessments, and strong adoption of AI in accreditation deeply resonates with the direction our industry must take. You emphasized the need for more data-driven, outcome-focused, and less burdensome accreditation models—moving beyond repetitive, episodic reviews toward real, sustained improvement. It was a pleasure meeting you in person, Carsten Engel, and exchanging perspectives. I strongly share your vision that accreditation must evolve—from process-heavy compliance to continuous, value-driven quality improvement. At #AccrediSense, we are working toward using AI-powered automation to enable smarter document review, performance analysis, and early warning systems—so hospitals can focus more on care and less on paperwork. Looking forward to continuing these conversations and, together, making a real difference in how accreditation supports patient safety, quality, and sustainability. #IPSC2026 #AccreditationInnovation #HealthcareQuality #PatientSafety #AIinHealthcare #AccrediSense #QualityImprovement

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🗨️ „Health Data Reimagined – Interoperability, Structure, and Smart Use” – our CEO Dr. Florian Fuhrmann discussed this topic with Diana Meskendahl (née Fischbach) and Julian Springer at Dänische Botschaft in Deutschland on today's Life Science Days 2025. 🎤 On interoperability as a key for the future use of health data, Dr. Florian Furhmann explained: "Connecting over 130 outpatient and dozens of inpatient information systems requires common data exchange and standards. We have all agreed on FHIR, and the electronic medication list has been made mandatory. Through our KIG (Competence Center for Interoperability in the German Healthcare System), we facilitate consensus within the IT provider. We see this as a way to create positive momentum for improving data quality and interoperability. For example, FHIR structured eRx data and the ePA module in outpatient information systems have been required since October 1st. Interoperability is also the key to a successful EHDS - common semantic and technical standards are the make-or-break point." 🎤 Regarding the use of AI on health data in Germany, Fuhrmann emphasized: "AI adoption is picking up in Germany as well as in other countries but integration is more challenging compared to other countries. At gematik we want to enable integration and data flow." ➡️ As conclusion: interoperability is the foundation for the use of health data. Our focus on care processes and good data quality creates real added value for the healthcare system.

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Most oncology tools in Switzerland don’t stall because the science is weak. They stall because adoption is a system problem, not a product problem. If you’ve already: • validated clinically • run pilots at strong hospitals • shown promising outcomes …but you’re still stuck in “research-only” mode — this is likely why. Swiss healthcare adopts innovation through four separate gates (clinical, operational, economic, system). Miss one, and nothing scales. I mapped the full adoption logic in the visual below and built a free readiness tool to help founders identify their single biggest blocker. If this resonates, check the original post — or DM/comment “SWISS ONCOLOGY” and I’ll share the tool + full breakdown. This is exactly where most good oncology innovation gets lost.

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𝟭𝟭𝟳 𝗲𝘅𝗽𝗲𝗿𝘁𝘀 𝗳𝗿𝗼𝗺 𝟱𝟬 𝗰𝗼𝘂𝗻𝘁𝗿𝗶𝗲𝘀. 𝗧𝗼 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹𝗶𝘀𝗲 𝘁𝗿𝘂𝘀𝘁𝘄𝗼𝗿𝘁𝗵𝘆 𝗔𝗜 𝗶𝗻 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲. The FUTURE-AI Consortium published in Feb. 2025, in the BMJ, the most rigorous AI trustworthiness framework healthcare has ever seen. It covers: * Fairness, * Universality, * Traceability, * Usability, * Robustness, and * Explainability. Thirty best practices. The entire AI lifecycle. And patients appear in it only as trust recipients. Not as auditors. Not as evaluators. Not as co-designers. As people who need to be convinced. 𝗙𝗨𝗧𝗨𝗥𝗘-𝗔𝗜 𝗶𝘀 𝗮 𝗹𝗮𝗻𝗱𝗺𝗮𝗿𝗸. 𝗜𝘁'𝘀 𝗮𝗹𝘀𝗼 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗮𝗹𝗹𝘆 𝗶𝗻𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲. The Usability principle says end users should be able to achieve clinical goals efficiently and safely, and that users should be involved in design. But "users" throughout the document means clinicians. The assumption is that a trained professional mediates every AI interaction. That assumption broke when patients started using AI directly. At home. Alone. Without a clinician in the loop. 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝘀 𝗸𝗲𝘆 Explainability in AI is the ability to articulate why a model produces a given output in terms humans can understand, making opaque algorithmic processes legible. It underpins trust, bias detection, and regulatory compliance through techniques and feature visualization, and is foundational in high-stakes domains where decisions must be auditable. That is what CLAIM addresses. 𝗖𝗟𝗔𝗜𝗠 (𝗖𝗼𝗻𝘁𝗲𝘅𝘁𝘂𝗮𝗹 𝗟𝗶𝘁𝗲𝗿𝗮𝗰𝘆 𝗳𝗼𝗿 𝗔𝗜 𝗶𝗻 𝗠𝗲𝗱𝗶𝗰𝗶𝗻𝗲) 𝗶𝘀 𝘁𝗵𝗲 𝗽𝗮𝘁𝗶𝗲𝗻𝘁-𝘀𝗶𝗱𝗲 𝗼𝗳 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆. It trains patients to evaluate AI health outputs through the one lens no algorithm can supply: their own clinical context, history, and priorities. FUTURE-AI defines what trustworthy AI looks like from the supply side. CLAIM defines what it takes to receive that output safely. They aren't competing frameworks. One builds the tool. The other builds the person who uses it. The patient layer isn't optional. It's the judgment layer. #PatientsUseAI #HealthcareAI #CLAIM #PatientEmpowerment

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We’re pleased to welcome myScribe GmbH to the growing HIP ecosystem. myScribe is a German health-tech start-up developing AI-powered tools that help clinicians create medical documentation (clinical notes, letters, and discharge reports) faster and more efficiently, freeing up more time for patient care. The collaboration reflects our mission to accelerate the adoption of digital health innovations through the vitagroup Health Intelligence Platform (HIP), an open, vendor-neutral foundation that allows partners to connect once and scale across hospitals and regions. 👉 If you’d like to learn more about the HIP App Partner Programme, see the link in the comments Ira Romy Alice Stoll

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From challenge to change: the Open Innovation Challenge on AI for reimbursement coding brought by Kantonsspital Baselland, showed how open collaboration can turn regulatory transitions into opportunities for smarter healthcare.  Innovation Booster Digital Health Nation, powered by Innosuisse, supported innovation teams in developing AI-assisted tools to help Swiss hospitals navigate the upcoming TARDOC and ambulatory flat-rate system, improving coding accuracy, transparency and efficiency.  What made this challenge stand out?  ➡️ Real hospital collaboration from day one  ➡️ Human-centered design focused on trust and explainability  ➡️ Functional MVPs ready for real-world testing    Discover how innovators and healthcare professionals built these solutions together. 👇 📖 Read the full story: https://lnkd.in/dTJcA9M4 Dr. Dietmar Kraemer | Yana Yoncheva | Ursula Costa

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