Kalle Conneryd Lundgren

There’s hardly a day that goes by without talking about (or to) AI. Yet conversations on AI and Sustainability often feel like they run in parallel - or even diverge at times. That’s why I love this podcast. It positions AI as a powerful tool for healthcare, not just to speed up diagnosis and treatment, but also to build more sustainable and resilient health systems. The podcast explores how AI is helping transform radiology, by enabling faster diagnoses and best-practice treatments, optimizing operations and resource use, alleviating staff burden and supporting more efficient care delivery. What's great is that these outcomes advance sustainability in healthcare as well: preserving resources, reducing waste and scaling care to meet the needs of patients and communities globally. Of course, responsible use of AI is key. As Tobias Heimann, our Head of AI in Germany explains, this means optimizing training processes, using renewable energy, and leveraging foundation models to reduce AI’s footprint while accelerating innovation. 🎧 Here's the podcast hosted by Vibhas Deshpande, and featuring Dr. Charles Goh, Dr. Kate Hanneman, and Tobias Heimann: https://lnkd.in/ezFUdsTU.

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How 25% of doctors of Norway’s third biggest hospital almost quit their jobs, as the healthcare system implemented a new EHR system. A government review has deemed the implementation process a deep failure. Great idea to integrate health information systems across central Norway to improve patient care and operational efficiency. However, the project faced setbacks, resulting in unmet goals and increased costs. Here’s how: 1) Risk of patient safety - Integration issues and technical glitches led to HCP accessing accurate patient information - Emergency staff couldn't get an overview of patients and their status - Integration between the EHR and medical equipment failed, preventing data transfer to patients' records - Integration with national medication chart had errors ↳ =Medical errors 2) Inefficiencies for HCP - Forced to spend more time on administrative tasks than patient care - Reduced overall productivity and effectiveness in healthcare delivering 3) Workplace Satisfaction  - Increased workload and frustration with the system's performance negatively impacted HCP's job satisfaction - Many reported stress and burnout due to the additional administrative burdens 4) ROI and Cost Implications - The project significantly exceeded its budget without delivering the expected improvements in healthcare delivery - The lack of benefits raised concerns, questioning the justification for the financial investment - The region is still working on and paying for fixing the mistakes During the implementation, other issues were: - Delayed training, since training material was not ready - Ongoing adjustments of the system, even after implementation and staff training - Google Translate was used for many features and terminology, leading to misunderstandings and configuration errors This could have been prevented. What if the team did this? - Ensure enough time for training on the final version of the system before go-live - Invested in professional translation and localization services instead of relying on machine translation for critical medical terminology - Involve HCPs more extensively in the development and customization process to better align the system with local workflows and needs - Did extensive testing of integrations with existing medical equipment and national health systems before implementation - Did a gradual rollout to allow for adjustments and optimizations based on initial user feedback - Invested in sufficient IT and support staff to manage the system effectively and provide ongoing assistance to users - Cultural adaptation to ensure the system was properly configured to account for differences in healthcare practices and legal requirements between the U.S. and Norway It’s a shame, cause an integrated EHR could benefit so many patients, if done right. Instead, Norway’s golden age as one of the “best healthcare systems in the world” is over. Would you start fresh or continue working with the EHR?

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Nina Capital is pleased to formally announce our investment in Datamonk. Datamonk has successfully raised pre-seed funding to address the significant challenge of migrating decades of medical #imaging #data, by developing an agentic AI-powered platform that automates migrations. The funding round was co-led by Healthy.Capital and Nina Capital, with participation from angel investors including Jeroen Tas, former Chief Innovation & Strategy Officer at Philips, and Harm-Jan Wessels. The capital will support platform development, the advancement of AI capabilities, and team growth. *What's the need?* Hospitals maintain decades of imaging data in Picture Archiving and Communication Systems (#PACS). PACS vendors and healthcare providers face operational and financial pressure to migrate massive volumes of #radiology data—often hundreds of terabytes per hospital—from legacy on-premise PACS systems to modern #cloud-based infrastructures, yet today’s migration processes remain largely manual (consultant-led), expensive, and time-consuming, often taking a year or more. *What's the solution?* Datamonk’s solution leverages agentic AI to automate these migrations and concurrently improve data quality. The software agents detect and resolve metadata issues, standardize study naming, and validate data integrity while the migration runs. This allows hospitals to go live faster with data that is immediately ready for clinical workflows, research, and AI applications. At Nina's, we are excited about joining efforts towards a scalable way to standardize and migrate imaging data, creating the foundation for interoperability and future innovation. The Datamonk team was founded by Jaap Gielink (serial entrepreneur), Jai Bhatia (co-founder of Viewics Inc., acquired by Roche Diagnostics), and Matthew Condron (former CTO of a leading healthcare data migration consultancy). We are delighted to partner with Datamonk as they build the data layer for modern healthcare and solve this fundamental infrastructure challenge. Link: https://lnkd.in/dwdH7vew #wearenina #healthcare #HealthTech #MedicalImaging #AIinHealthcare at Tech.eu by Tamara Djurickovic

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🚀 Big news! We are advancing on the future of healthcare with two new AI strategies presented by the Commission this week.    AI can help speed-up accurate diagnoses, personalise medicine, develop biotech solutions and support the healthcare professionals in their daily work.    Today’s “Apply AI” and “AI in Science” strategies have a host of different measures to help unlock the benefits of AI in healthcare and pharmaceuticals. ✔️ A European Network of Expertise on AI Deployment in Healthcare will be launched, to share guidelines and best practices in AI deployment. Further information coming soon!  ✔️ AI-powered advanced screening centres will improve early detection and diagnosis, especially for cardiovascular diseases and cancer. ✔️ Frontier models of AI will be developed, tailored to sectors such as pharmaceuticals. ✔️ The responsible use of AI in pharmacovigilance and regulatory activities will be promoted.   We are also rolling out measures to attract top-level scientific talent and highly-skilled professionals to the EU.    Stay tuned for more updates on SANTE’s work towards harnessing the transformative power of AI for health.   🔗: https://lnkd.in/ecwa8Yr8

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