Wolters Kluwer’s Post

AI innovations in healthcare can help lessen the gap between laboratory discoveries and clinical applications. Discover how AI is paving the way for more efficient, precise, and personalized patient care. Join MIT Horizon on April 3: https://bit.ly/43GlbfX #learning #education #OnlineLearning #OnlineEducation #ProfessionalDevelopment #AI #ArtificialIntellligence #healthcare

A survey of 47 primary care physicians (PCPs) in Southern California has revealed nuanced insights into PCP attitudes towards AI in primary care. Most (76.6%) felt positively regarding the potential of AI in medicine but just over a third (36.2%) felt somewhat to very uncomfortable communicating with their patients about the role of AI-based tools. 70.2% of surveyed physicians described their approach to learning about AI in medicine as “passively learning via popular news sources or casual conversation” with only 25.5% “actively seeking education through established organisations, coursework, lectures, professional journals, or books.” Despite generally favourable attitudes towards AI, participants expressed numerous concerns, particularly when discussing specific AI use cases, as shown in the image below. Read more: https://loom.ly/pPhhoSk #ArtificialIntelligence #AI #Healthcare

How are YOU using Artificial Intelligence in healthcare? Tell us your move innovative use for AI in business, clinical practice, education. #AI #Healthcare

Case-based learning (CBL) involves an interactive approach where healthcare professionals analyze and solve real-world patient cases. It is the key to gaining clinical expertise. The integration of Artificial Intelligence (AI) in healthcare further amplifies this approach. AI provides data-driven insights, aids in diagnosis, and offers personalized treatment plans, complementing traditional clinical expertise. The combination of case-based learning and AI ensures healthcare professionals are well-equipped to handle complex scenarios, providing optimal care in the medical field. Listen to Lisa McKenzie- Vice President, Asia-Pacific, Institute for Healthcare Improvement (IHI) and Minara Chowdhury - Senior Director, Institute of Healthcare Improvement, speak about the importance of case-based learning and AI in healthcare. #Casebasedlearning #Doctors #Healthcare #Healthcareprofessionals #Medical #AI #AIinhealthcare

🩺👩⚕️ Medical LLMs have incredible potential to help underserved populations. Google Research developed an AI system trained on real-world medical datasets and taught to communicate with empathy while asking intelligent questions. Learn how they did it: https://lnkd.in/gf5cBY6e (via Alan Karthikesalingam MD PhD and Vivek Natarajan) #LLMOps #LLM #MachineLearning #ML #AI #ArtificialIntelligence #GenAI #GenerativeAI #HealthTech #HealthIT #Tech

👉🏼 An artificial intelligence language model improves readability of burns first aid information 🤓 Alexander J Baldwin 👇🏻 https://lnkd.in/eyahzFcP 🔍 Focus on data insights: - Only 4% of the patient education materials (PEMs) met the target readability level in their original form. - After AI-modification, 18% of PEMs reached the target level using all tools. - Readability scores improved significantly after rewriting using AI. 💡 Main outcomes and implications: - Utilizing an AI language model effectively enhanced the readability of burns first aid information. - AI modification led to a significant improvement in the readability of the content. 📚 Field significance: - This study highlights the potential of AI in improving the accessibility and understanding of medical information. - Enhancing readability through AI can benefit individuals with varying literacy levels seeking medical guidance. 🗄️: [#Burns #AI #Readability #MedicalInformation]

🤖💊 Large Language Models and Healthcare Alliance: Potential and Challenges of Two Representative Use Cases 🏥🔍 Are you curious about how AI and machine learning are transforming the healthcare industry? 🤔💼 A recent article from PubMed explores the potential and challenges of large language models in healthcare, focusing on two representative use cases: 🛠️🔎 1️⃣ Automated summarization of electronic health records (EHRs) 📈🔒 2️⃣ Extracting insights from biomedical literature 📚💡 The article highlights the importance of understanding the strengths and limitations of these models, as well as the potential for improving patient care and outcomes. 🙌💪 Don't miss out on this insightful read! 📰🔗 Check out the link in our bio for the full article. 👆🔍 #Healthcare #AI #MachineLearning #LargeLanguageModels #EHR #BiomedicalLiterature #PatientCare #Outcomes #LinkedIn

Artificial intelligence: Revolutionizing patient education in primary care - Kevin MD: Artificial intelligence: Revolutionizing patient education in primary care  Kevin MD http://dlvr.it/T6lJ5f #ai #artificialintelligence

Document recognition in healthcare settings presents a series of formidable challenges. First among these is the heavy reliance on manual data entry, which is time-consuming and prone to errors, putting patient care and administrative efficiency at risk. We helped a large Enterprise Healthcare Institution tackle this challenge seamlessly with the help of AI and it improved their efficiency by 80%. Want to know how? Read the case study here - https://bit.ly/483NS7U #Intuitive #IntuitiveCloud #CaseStudy #Healthcare #AI #ArtificialIntelligence #ClaimsManagement

Horizon's @Brett Meeks will join the Primary Care Collaborative on February 28 for a discussion exploring how cutting-edge A.I. tools can be used to enhance the quality of care, empower the relationship between patients and clinicians, and reduce administrative burden. Register here: https://lnkd.in/ejFvbGaX #webinar #AI #artificialintelligence #healthcare #healthpolicy #healthIT