Piotr Pawałowski

>>>NEW Article Connecting the #ElectronicMedicalRecords in the #EuropeanUnion – Where Do We Stand and Where Does It Go? DOI: https://lnkd.in/eYWjFxSv The editorial discusses the integration of #eHealthsystems in the #EuropeanUnion through the #eHealth Digital Service Infrastructure (#eHDSI) project. The EU's unique approach to integration involves overcoming language and system differences across 27 member states. The European Directive 2011/24/EU emphasizes #patientsrights in cross-border #healthcare, pushing for #interoperability in national eHealth systems. The eHDSI project involves National Contact Points for eHealth (#NCPeH) in each country, connecting through standardized interfaces. The project covers #PatientSummary (PS) exchange, #electronicprescription (eP), dispensation (eD), and Original #Clinical Documents (#OrCD) exchange. Although eHDSI seems to be a viable project, its real-world usage is currently low. This can be attributed to technical complexities and incomplete implementation. Broader use should be pursued instead of expanding the system's capabilities. The complexity of the eHDSI and its implementation could pose additional challenges, and widespread use may not be achieved before 2030. For an in depth analysis, visit DOI: https://lnkd.in/eYWjFxSv ***Author*** Jan Bruthans, MD, PhD, Associate #Professor, Department of #BiomedicalTechnology, Faculty of #BiomedicalEngineering, Czech Technical University in Prague, #CzechRepublic ______________________ Deadline for next issue: July 1, 2024. Upload your work to https://lnkd.in/es_5reh To stay current, register at no cost for updates at https://lnkd.in/eTHqNCb #digitalhealth #healthcareinnovation #telehealth #telemedicine #virtualcare #eHealth #eprescription #interoperability #EU #publichealth #healthpolicy #EHR #EMR

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Still have some questions about our platform? 🤔 We've got you covered! Whether it's about functionality, benefits, or setup, we're here to answer all your questions. Let's clear up any doubts together! 💡

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AI platform company deepc offers tools to make it easier for radiology providers to deploy and use AI, like new radiology reporting solutions. I talked to deepc CEO Dr. Franz MJ Pfister, MD, MBA, and Avez Rizvi, MD, of radiology reporting developer RADPAIR about integration of their technology at #RSNA24. #radiology #medicalimaging #ImagingAI

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#openemr along with right professional vendor is required combination for the effective usage of #openemr , especially on windows platforms

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Revolutionizing Medical Imaging: The Power of Synthetic Data - Coming Soon! Stay Tuned!" Our upcoming article reveals how Generative Adversarial Networks (GANs) and synthetic data are revolutionizing healthcare. Stay tuned for insights on: - Enhanced image quality and resolution - Increased data diversity and availability - Reduced costs and improved accessibility - Personalized medicine Follow us for the latest updates and be among the first to read: https://lnkd.in/gXnBmkKx #MedicalImaging #SyntheticData #GANs #HealthcareInnovation #AIinMedicine #DigitalHealth #ComingSoon #StayTuned

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IoT is my passion 🚀 💡 In 2020, we at GWA Hygiene GmbH embarked on the development of the Zone Sensor. Subsequent pilot projects provided us with valuable insights. As a result, we have now reached the 4th generation of development. It has evolved into a true IoT platform catering to numerous use cases. Despite the multitude of sensors in a single device, simplicity remains paramount for us. Therefore, the Zone Sensor operates on battery power, without cables or cameras.   🏥 All for the intelligent patient room of the future together with our new RTLS portfolio from Hypros. What do you envision for your experience as a patient in the hospital of the future?   #SmartHospital #Patientroom #ZoneSensor #IoT #Innovation

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👉🏽 Collaboration Mode on a Project: Why does the Right Diagnosis Matters? In #health industry, diagnosing patient properly is key for successful treatment. Likewise, in #softwaredevelopment, diagnosing the tech challenges is prerequisite to prescribing the right collaboration model. 🚑 At CODETIQ our consultants and expert analysts conduct a thorough "business diagnosis" to provide the best snapshot of the project ahead of us and it's potential. This is no magic pill that suits every project, and that's why we tailor our approach based on your specific needs and circumstances. 💊 👨🏽‍⚕️ Just as doctors conduct the interviews & run test to understand the background, we also take you through our process and provide holistic overview of your business and project goals! And guess what? Results reveal a lot. ⏳ Sometimes, we prescribe the time & material collaboration, offering flexibility and more adjustments as we go. 🎯 In other times, it's a fixed scope for clarity & better grip on the deliverables that will not change much! Trust us to prescribe the optimum collaboration mode for your project's health. Let's chat! 💻🔬 #HealthTech #SoftwareDevelopment #TechPartnership #TechnicalConsultancy #CODETIQ

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👋 At recent conferences, we got asked many times what axxtas is doing. This made us think: "Hmmm... Maybe not only people at conferences are interested in that, maybe also our friends on LinkedIn are..." Thus we created this short slide deck, showcasing our digital transformation solution and custom software development services 🙂. #digitaltransformation #softwaredevelopmentservices

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Medical terminology is critical for semantic interoperability. However, today, each terminology is published in its proprietary format using its protocols. Consequently, every information system must independently normalize, aggregate, and sync terminology data. A standardized format for publishing terminologies, along with protocols for distribution, would greatly simplify these processes. Colleagues, my question is: Why have we not yet established a standard method for distributing and synchronizing terminologies? * UMLS is great but a little bit archaic and US-centered * OHDSI guys did an excellent job with Athena - but it has many restrictions * FHIR provides Terminology API but not a distribution format Can we take the best from FHIR, UMLS, and OHDSI and make it work? PS: With colleagues from the Terminology Working Group, we plan an offline brainstorming session about this topic during the May Connectathon in Dallas! Watch Connectathon's schedule to join us! Jessica Bota , Russell Ott , Kate Ebrill , Grahame Grieve , Joshua Mandel, Ian Green , Robert Hausam

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Innovating Biomedical Research with GPT-4! At MedUni Vienna, our research team has unlocked a new potential for AI in biomedicine with the development of "SimulateGPT." This cutting-edge simulator leverages the power of GPT-4, known from ChatGPT, to significantly improve the accuracy of classifying important genes in cancer cells and predicting cancer patient prognosis. In the study, published in Computers in Biology and Medicine, they explored how stepwise simulations of biological and medical processes using GPT-4 could yield better results. This breakthrough is particularly exciting for scenarios like mouse experiments, sepsis treatment support, and predicting essential cancer genes. By configuring GPT-4 with structured inputs and detailed instructions, SimulateGPT achieved remarkable accuracy, outperforming traditional GPT-4 responses. This demonstrates that LLMs like GPT-4 can transform biomedical research by providing flexible and interpretable text-based simulations. Moving forward, they aim to integrate biological databases and mathematical modeling to further refine these AI-based simulators. This innovative approach promises to enhance the understanding of complex biological systems and drive future biomedical research. A big thank you to their incredible team at the Institute of Artificial Intelligence and the CeMM Research Center for Molecular Medicine for their dedication and hard work! I am also on the mission to continue to pushing the boundaries of what's possible with AI at midoc. Monitoring your wellness isn't a luxury—it's a survival necessity. With midoc, it's possible. Get midoc on iOS and Android here- https://midoc.ai/ #BiomedicalResearch #AI #GPT4 #MedUniVienna #SimulateGPT #CancerResearch #Innovation

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The tool discussed in this article is a perfect example of the type of AI system that the #AIAct is needed for. Corti is a tool for AI-powered patient triaging and coding, determining the appropriate diagnosis and procedure codes, intended to be used in public health services, ambulatory clinics, etc. Safety is their business. Still, too often, builders of such AI companies don't plan to invest in safety and compliance. If they do, their incremental compliance costs on the AI Act should not reach six figures, as mentioned here. There's much to say about the AI Act, though. I am very aware that the compliance costs will be higher than the Commission expected or communicated in their cost analysis. One of the main causes, I think, is that everyone in AI in the EU must conduct an analysis of to what extent the AI Act applies to them and be able to maintain that confidence of the applicability across their AI inventory over time. While EC's estimate of 5-15% of AI systems falling into the high-risk category and the most strict requirements might hold, all of us are impacted. It's time to make smart choices on how to address it. #AIAct #EU #impactanalysis https://lnkd.in/gRf74Ksz

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deepc closes another round of funding to accelerate its growth and solidify its role in AI deployment in the clinic !👇 Reflecting on early conversations with Dr. Franz MJ Pfister, MD, MBA, I am amazed by how his vision and yesterday's ideas have transformed into a leading radiology AI company with customers in over 30 countries ! Platforms like deepcOS offer a turnkey solution for hospitals and clinicians, easing administrative and technical burdens of AI integration. Best of luck with the next milestones, Franz and team ! 🚀 Read more on Marty Stempniak article ; link in the comment 👇 #radiology #AI #startup #funding Sofinnova Partners Bertelsmann Investments Digital Partners

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New Features in Our Deidentification Toolset! 1. Age-based Obfuscation with the setAgeGroups Parameter  Easily configure age obfuscation with the `setAgeGroups` method. This allows you to specify custom age ranges for obfuscation, ensuring your data meets specific age classification requirements. If not all ages are covered, it defaults to the `ageRanges` parameter. Customize your age group dictionary to suit your needs and protect sensitive age information effectively. 2. Enhanced Date Obfuscation with the setKeepYear Parameter   Gain more control over date obfuscation with the `setKeepYear` parameter. Decide whether to retain the year in date entities while obfuscating the month and day. The default setting is False, but you can customize it to keep the year intact, balancing data utility with privacy. Explore these features with Helathcare NLP: https://lnkd.in/dik4i_hq #DataPrivacy #Deidentification #DataSecurity #AI #HealthcareAI #DataProtection #MachineLearning #HealthTech #NLP #Innovation

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>>>NEW Article Connecting the #ElectronicMedicalRecords in the #EuropeanUnion – Where Do We Stand and Where Does It Go? DOI: https://lnkd.in/eYWjFxSv The editorial discusses the integration of #eHealthsystems in the European Union through the #eHealth Digital Service Infrastructure (#eHDSI) project. The EU's unique approach to integration involves overcoming language and system differences across 27 member states. The European Directive 2011/24/EU emphasizes #patientsrights in cross-border #healthcare, pushing for #interoperability in national eHealth systems. The eHDSI project involves National Contact Points for eHealth (#NCPeH) in each country, connecting through standardized interfaces. The project covers #PatientSummary (PS) exchange, electronic prescription (eP), dispensation (eD), and Original Clinical Documents (#OrCD) exchange. Although eHDSI seems to be a viable project, its real-world usage is currently low. This can be attributed to technical complexities and incomplete implementation. Broader use should be pursued instead of expanding the system's capabilities. The complexity of the eHDSI and its implementation could pose additional challenges, and widespread use may not be achieved before 2030. For an in depth analysis, visit DOI: https://lnkd.in/eYWjFxSv ***Author*** Jan Bruthans, MD, PhD, Associate Professor, Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University, Prague, Czech Republic ______________________ ***Deadline for next issue: July 1, 2024. Upload your work to https://lnkd.in/es_5reh To stay current, register at no cost for updates at https://lnkd.in/eTHqNCb #digitalhealth #healthcareinnovation #telehealth #telemedicine #virtualcare #eHealth #eprescription #interoperability #EU #publichealth #healthpolicy #EHR #EMR

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Great debate today at Starvision Expo in Munich: "AI in Radiology: Revolution or Risk?" The setup was crafted to be a bit cheeky, with radiologists presenting the case against AI while industry representatives championed it. This playful “radiologists vs. industry” format definitely kept things lively, bringing out some fun, divergent views. But looking at my radiologist colleagues’ expressions, I couldn’t help but wonder—was that really “played” skepticism*? ➖ Dr. med. Nina Buck, Mike Notohamiprodjo, Florian Elgeti ➕ Dominik Guenzel, Tobias Pink, Jan Beger To my slightly more “skeptical” radiologist colleagues*, here’s a thought: Radiology has always embraced innovation, and the field is a leader in AI innovation and adoption. But that position might start to slip if we don’t keep pushing forward. AI is no longer just about computer vision—it’s evolving rapidly, with multimodal applications expanding across all clinical domains. However, we all agreed in the end: the radiology team and industry must work even closer together moving forward to address technology, AI literacy**, integration, adoption, and liability challenges, ensuring we continue to focus on high-impact use cases that truly make a difference in advancing healthcare. Maybe next time, we should flip roles—I could take on the skeptical side… if AI hasn’t taken over my job by then*! Many thanks for having me! * 😉 ** For anyone interested in building AI literacy, I recommend checking out HelloAI (https://lnkd.in/dqrkAuaa), a great resource for healthcare professionals looking to enhance their understanding of AI.

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How to Add Custom GPTs to Any Website in 6 Minutes (OpenAI GPTs Tutorial) - YouTube https://lnkd.in/dtviAXhe

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