Serge Autexier’s Post

Penn Medicine Information Services AVP, Paul Williams, contributed to the emerging theme, TLRT: Responsible AI and the Evolving Role of the Healthcare Contact Center. He was quoted, calling out that "Call center centralization and optimization have endless benefits that enhance productivity and increase revenue. Organizations that implement these technologies well will see measurable improvements including reduced leakage of unanswered calls, improved patient access and experience, and valuable insights to inform decisions and strategies around call disposition and routing, according to Paul Williams, AVP of Infrastructure Technology for Penn Medicine." Read more here! https://lnkd.in/gCXdW_uk

We are working on an intricate challenge in modern healthcare in #Australia to tackle the portability issue of causal CDSS from one healthcare provider to another healthcare provider by leveraging the meta-heuristic approach and AI. To mitigate this challenge, we have proposed an Adaptive Semantic Framework (ASF) which will do the needful adjustments in the existing CDSS according to a new environment. The abstract of our paper is given below: Clinical Decision Support Systems (CDSS) are a critical part of modern healthcare, assisting healthcare practitioners in making precise decisions. However, most of the existing CDSSs are static, which makes adaptation to a new environment or changes in the same environment challenging. This is where the Adaptive Semantic Framework (ASF) comes in. In a recent paper, a team proposed an ASF for CDSS adaptation to a changing environment. The framework includes various methods such as Knowledge-Based Systems (KBS) and Data-Driven Elements (DDE) to adjust the CDSS to new conditions. This framework addresses two significant challenges of CDSS: its maintenance and the issue of portability across different hospitals with varying data ecosystems. With the ASF, CDSS can now adapt to a new environment or local changes in the same environment, including different types of patients, different ecosystems, and varying guidelines. #CDSS #HealthcareTechnology #AdaptiveSemanticFramework #DataDrivenElements #KnowledgeBasedSystems #Research

5 Aspects Of Artificial Intelligence And Healthcare For 2024 - Forbes: One of the areas where new artificial intelligence tools are doing most is in the world of medicine. Partly that's because this is a data-driven ... http://dlvr.it/TFSLNG

Thrilled to announce that our paper, "Design and Assessment of Representative Hybrid Clinical Trials using Health Recommender System," has been accepted to HealthRecSys @ ACM RecSys 2024! 🎉 Building on the success of our presentations at AMIA 2023 and the Best Poster Award at SCT 2023, this paper utilizes machine learning and causal inference to develop health recommender systems that support clinical trial design. Our ongoing research also explores how LLMs can further aid in optimizing these trial design decisions. Stay tuned for more updates, including access to the paper and code! #HealthRecSys2024 #ACMRecSys2024 #ClinicalTrials #MachineLearning #LLMs #HealthAI

As the first sector-specific regulation of the EU's data strategy, it is the objective of the European Health Data Space (EHDS) to make more health data available for innovation, research, and policymaking. This panel will explore the potential implications of the EHDS a world where AI-driven processes are available to bring about transformative changes using electronic health data.

🌟 𝐇𝐄𝐋𝐓 𝟐𝟎𝟐𝟒 𝐒𝐲𝐦𝐩𝐨𝐬𝐢𝐮𝐦 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧: 𝐏𝐚𝐧𝐞𝐥 3 𝐇𝐨𝐰 𝐰𝐢𝐥𝐥 𝐭𝐡𝐞 𝐄𝐮𝐫𝐨𝐩𝐞𝐚𝐧 𝐇𝐞𝐚𝐥𝐭𝐡 𝐃𝐚𝐭𝐚 𝐒𝐩𝐚𝐜𝐞 (𝐄𝐇𝐃𝐒) 𝐒𝐡𝐚𝐩𝐞 𝐀𝐈 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐇𝐞𝐚𝐥𝐭𝐡 𝐒𝐞𝐜𝐭𝐨𝐫? The development of AI is inevitably affected by data policies, as the effectiveness and accuracy of AI-based systems depend on the availability and accessibility of high-quality and diverse datasets, including a large amount of health data. As the first sector-specific regulation of the EU's data strategy, it is the objective of the European Health Data Space (EHDS) to make more health data available for innovation, research, and policymaking. As part of this, the EHDS proposal recognizes the training, testing, and evaluation of algorithms as one of the purposes for the secondary use of electronic health data. In the meantime, AI-powered applications and devices generate a vast amount of health data, which can also be fed back into the data-sharing ecosystem. This panel will explore the potential implications of the EHDS is a world where AI-driven processes are available to bring about transformative changes using electronic health data, with Paul Quinn, Nikolaus Forgó, Ralf Bendrath, Sofie De Broe, and Fenneke Buskermolen. ✨ Interested? Head to our website for all information and registration 👉 https://lnkd.in/dQT9DPRF. Don't hesitate to save your spot early! 📅 Date: April 25, 2024 🗺️ Location: SPARKS, 60 Ravenstein street, 1000 Brussels, Belgium (1 min walking from the Central Station) #healthlaw #symposium #regulation #healthcare #AI #lawconference #VUB #HALL #healthcareresearch #EHDS #Brussels

One of the best things about hosting the MRX Lab is learning about the myriad ways that advances in data helps to improve lives. In this episode, I was fortunate to sit down with Yu (Laury) Liu from InterSystems and Keith Schoonover of KJT to discuss how the FHIR API is bringing about faster, cheaper and more accessible healthcare. To set the scene - healthcare providers operate in one of the most complex and regulated data ecosystems there are, integrating multiple forms of medical, adminsitrative and financial information on a daily basis. To make matters worse, many of the technologies and systems that providers rely on don't communicate with each other. The result is complexity, inefficiency and frustration. So, how do you go about fixing a fragile, yet indispensible system? Enter FHIR. A new protocol designed to sit at the heart of heathcare data management which integrates legacy technologies and offers a blueprint for future interoperability. But, of course, technology is only a part of the solution. In order to bring about system-wide change, it's important to consider the opportunities and barriers to adoption too. Listen to Laury and Keith discuss the delicate balance in this short preview. The full episode is available now on all major podcasting services: 🎧 Spotify - https://lnkd.in/defKnrtx 🎧 Apple - https://lnkd.in/d-4-UCfY 🎧 Amazon - https://lnkd.in/dRYtMESF 🎧 YouTube - https://lnkd.in/diTBn-v4 🎧 FlexMR - https://flx.mr/mrx-lab FlexMR #mrxlab #mrx #marketresearch #insight #data #interoperability #fhir #technology #technologyadoption #healthtech #healthdata

🚀 Unveiling In GenAI Series - Post #2: Real-World Use Cases in Healthcare & Life Sciences 🌟 🩺 As we continue our exploration of GenAI's revolutionary impact on healthcare, it’s crucial for us to delve into practical use cases where this technology is not just an idea, but a real-world game-changer. Today, we're spotlighting how GenAI is not only meeting but exceeding expectations in the HLS sector. #HealthTech #InGenAISeries #DigitalTransformation #generativeai

Discover new pathways to professional success with the Artificial Intelligence in Healthcare: Fundamentals and Applications program from MIT xPRO and gain insights on strategies that drive success in today's competitive landscape. Join the program now: https://lnkd.in/dVjt4Uef #MITxPRO #ExecutiveEducation #AIinHealthcare #MedicalAI #HealthcareInnovation #MedicalTechnology

Excited to share my latest article in Medical Buyer Magazine, exploring the transformative impact of Artificial Intelligence in hospitals today and the groundbreaking innovations shaping its future. Article Link: https://lnkd.in/dKS4cAp7 #AIinHealthcare #MedicalInnovation #FutureOfMedicine"