Esraa Khaled’s Post

Can AI bridge the gaps in primary care and relieve the burden on overworked physicians? With advancements in #ai, its integration into medicine is rapidly growing, and it is emerging as a promising solution to address the current challenges faced by primary care. While AI’s role in medicine has long been discussed, real-life, clinician-facing applications are only now becoming a reality. AI-assisted chronic disease management, diagnostic support, and administrative tasks (such as documentation, billing, and patient messaging) offer significant potential to improve care and relieve physicians, allowing them to focus more on patient care. These advancements reflect a broader shift toward #digitalhealth, improving efficiency and access. However, concerns remain that poor AI integration could further deepen the disconnect between professional values and the current realities of primary care. This study examines the potential impact of AI on key aspects of primary care, including the doctor-patient relationship and clinical workflows. Its goal is to provide insights for #primarycare stakeholders, fostering the successful and equitable adoption of future #aitools. In this study, primary care physicians' responses showed general optimism around AI in primary care tempered by specific concerns. While some concerns focused on technological factors like #algorithmic accuracy, safety, and bias, others focused on people-and-process factors such as effects on physician workflow, equity, reimbursement, and the doctor-patient relationship. These findings suggest that AI initiatives that fail to address both the technological and people-and-process concerns raised by PCPs may need help to make an impact. Link to the paper: https://lnkd.in/gcSux4hN

The relationship between doctors and patients is crucial in healthcare. As AI rapidly enters primary care, I wonder: how will it impact this essential connection? A recent study shows that while primary care physicians (PCPs) generally have a positive outlook on AI, concerns extend beyond technology. Many focus on the workflow, equity, and the doctor-patient relationship itself. For AI to truly benefit healthcare, it must address both technical and human factors. How do you see AI shaping the future of healthcare relationships? #AIinHealthcare #DoctorPatientRelationship #HealthTech #PrimaryCare

The use of GenAI among physicians is accelerating globally, particularly in the U.S. and Europe, with varying levels of adoption and focus on use cases. Here are some key statistics and insights into this trend: United States In the U.S., GenAI adoption among physicians has grown significantly, with a 2023 survey showing that over two-thirds of physicians have revised their stance on GenAI and now view it positively. Notably, about 40% of U.S. physicians are prepared to implement GenAI at the point of care. UK It might not be surprising to learn that clinicians across the U.K. are starting to use generative AI tools in their day-to-day work. However, a not-insignificant portion of them even use these tools to help them with differential diagnosis. These survey results providers are starting to trust generative AI more and more, indicating our industry must continue working to make them more broadly accurate and applicable. (see picture) Europe A December 2023 report indicated that 78% of healthcare organizations in Europe are evaluating GenAI use cases, with 47% actively funding initiatives to integrate GenAI into their operations I am interested to know from the LinkedIn community which numbers you use when considering penetration of AI tools among ambulatory care, being specialists or GPs. https://lnkd.in/eK627QCU https://lnkd.in/eQXJD7US

🚀 Breaking News: The FDA has now cleared over 500 healthcare AI algorithms, marking a monumental leap in medical technology. This rapid growth, especially in medical imaging, is not just about numbers; it represents a transformative shift in patient care. AI’s unparalleled pattern recognition is revolutionizing diagnostics across subspecialties, enhancing accuracy, and speeding up the diagnostic process. This is a game-changer for healthcare providers and patients alike, opening new avenues for early and more precise diagnosis. Stay ahead of the curve in this AI-driven healthcare revolution! 🌟 Read more about this exciting development here: https://lnkd.in/gfFnVfnM For more insights and news about the AI driven Healthcare revolution follow Forest Hill Labs: A Health Market Intelligence, Policy, and Thought Leadership Consultancy Robert Horne Dylan Reid(Moskowitz)

Hello everyone! I'm thrilled to share with you all my newest blog post, delving deep into the groundbreaking intersection of artificial intelligence and healthcare. In this dynamic piece, I explore how AI is reshaping the landscape of patient care, ushering in a new era of precision, efficiency and accessibility. Topic - Artificial Intelligence in Healthcare: Revolutionizing Patient Care '' Within the dynamic realm of healthcare, a significant progressive development in recent times has been the incorporation of artificial intelligence (AI). Through its capacity to swiftly and precisely analyze extensive data sets, AI is transforming patient care in unprecedented ways. Across areas such as diagnosis, treatment, personalized medicine, and administrative functions, AI is redefining all facets of healthcare provision. One of the key takeaways is the potential for AI to streamline administrative processes, optimize data management, and improve clinical decision-making through accurate diagnostics. Within the field of diagnostics, artificial intelligence-driven systems exhibit the ability to examine medical imaging like X-rays, MRIs, and CT scans with remarkable precision, frequently outperforming human capacities. Through the identification of patterns and irregularities that could elude human detection, artificial intelligence facilitates swifter and more precise disease identification, ultimately enhancing patient prognosis and survival rates. AI aids in creating personalized treatment plans for patients by analyzing genetic, medical, and real-time data, predicting patient responses, prescribing effective therapies, and minimizing adverse effects, enhancing treatment outcomes and patient quality of life. AI can also bridge the gap between urban and affluent healthcare facilities by offering remote diagnostics and personalized treatment recommendations. AI-powered tools and algorithms have shown promise in assisting healthcare providers in delivering high-quality care and personalized treatment plans. Artificial Intelligence (AI) is on the brink of transforming the healthcare sector through improving diagnosis, tailoring treatment strategies, and streamlining administrative procedures; however, overcoming ethical, regulatory, and technical hurdles is crucial to achieve comprehensive integration.''

Did you know that medical errors are the third leading cause of death in the US?  AI-powered decision support tools could help reduce these errors and save countless lives. As a surgeon, I've seen firsthand the immense pressure of making critical decisions under extreme time constraints. That's why I'm so passionate about the potential of AI to empower clinicians and improve patient care. Sound like science fiction?  It's not. 👉 Companies like Google Health are using AI to predict patient deterioration and identify those at risk of hospital readmission. 👉 IBM Watson is helping oncologists develop personalized cancer treatment plans based on a patient's unique genetic profile. 👉 Aidoc is using AI to analyze medical images and detect critical conditions like strokes and pulmonary embolisms faster than ever before. 👉My friend, Severence MacLaughlin, Ph.D and his team at DeLorean Artificial Intelligence deliver Real Time Medical Care Management AI (RTMCMAI) to help patients with renal disease, COPD, and diabetes, just to name a few. These are just a few examples of how AI is revolutionizing critical care decision-making, empowering clinicians to make more informed, timely, and life-saving decisions. As a surgeon and AI advocate, I'm incredibly excited about the potential of this technology to transform healthcare.  The future of medicine is here, and it's powered by collaboration between human expertise and AI's computational prowess. What are your thoughts on the role of AI in critical care? #AIinHealthcare #CriticalCare #DecisionSupport #MedTech #FutureofMedicine #RTMCMAI

#healthtech #medicine #emergencymedicine At Wizblizz, we envision leveraging artificial intelligence (AI) to revolutionize the operations and patient care processes within the emergency room (ER) setting. One significant aspect of our AI integration involves improving triage systems. By implementing AI algorithms, we aim to enhance the accuracy and speed of patient assessments, enabling medical staff to prioritize cases more effectively based on the severity of conditions. Our AI systems will analyze patient data, including vital signs, medical history, and symptoms, through advanced machine learning techniques to generate real-time assessments that guide medical professionals in delivering prompt and appropriate care. AI technology will play a pivotal role in optimizing resource allocation within the ER. By analyzing historical data and current trends, AI algorithms can predict patient influxes and identify peak hours, allowing hospital administrators to adjust staffing levels and resource distribution accordingly. AI-powered predictive analytics can assist in forecasting patient diagnoses and treatment outcomes, facilitating proactive decision-making and ensuring that medical supplies and equipment are readily available to meet patient needs. This proactive approach enhances operational efficiency, patient satisfaction, and outcomes by reducing wait times and ensuring timely interventions. Another critical application of AI in the ER at Wizblizz involves personalized treatment plans and predictive medicine. Through the integration of AI-driven clinical decision support systems, healthcare providers can access evidence-based recommendations tailored to individual patient profiles. AI algorithms can analyze vast amounts of medical literature, patient data, and treatment outcomes to suggest the most effective interventions and medication regimens based on specific patient characteristics and medical histories. By leveraging AI to assist in diagnosis and treatment, Wizblizz aims to enhance patient care quality, minimize medical errors, and ultimately improve patient outcomes in the dynamic and high-stakes environment of the emergency room. Dr. Edgar Noumair

This week's Nobel Prize in Chemistry shines a spotlight on the incredible potential of AI in healthcare. In my recent Forbes Councils post, I highlighted Google #DeepMind's #AlphaFold, which is revolutionizing drug discovery. But AI is already making waves in diagnostics and administrative processes too. At Consensus, we leverage AI to solve a critical challenge: ensuring seamless data exchange in Healthcare, regardless of providers' technical capabilities. By breaking down digital barriers, we're helping to accelerate and improve patient care. #AI #healthcare #digitalhealth #interoperability #AlphaFold #NobelPrize https://okt.to/eEYBHx

💡 Did you know that more than half of physicians see a benefit to AI in healthcare, with reducing administrative burden as the most promising application? 📚 Read our summary of the recent survey conducted by the American Medical Association to learn more about the opportunities for AI in clinical routine and the major concerns of physicians: https://lnkd.in/dfwmqKTR 🔍 Want to dive deeper into the findings and explore the opportunities and challenges ahead? Check out the full survey by the AMA (link in comments). #HealthcareInnovation #ArtificialIntelligence #DigitalHealth #PatientCare #AMA #FutureOfHealthcare