"AI in healthcare will never be fully automated because, at the end of the day, it’s about humans helping humans. Machines can enhance decisions, but the human touch remains essential." – Eben Esterhuizen, CTO & Co-Founder, Siftwell. Last week, during a webinar hosted by The Root Cause Coalition, Trey Sutten, Eben Esterhuizen, and Kim W. Webb explored the practical applications of AI in healthcare, focusing on practicality and safety over hype. Current AI applications in healthcare prioritize predictions and actionable recommendations over the "futuristic generative AI" that often dominates headlines. The mission is clear: turn historical data into meaningful insights to improve patient outcomes and optimize costs. What does this look like in real-world scenarios? Siftwell's models can identify the root causes of health disparities—like food insecurity or lack of transportation—and recommend targeted interventions. For example, ensuring access to primary care can help reduce avoidable healthcare expenses, such as emergency department visits. AI should never replace humans—it should enhance their abilities. As Kim said, "Knowing that 65% of a cohort has low adherence to medication doesn’t just tell us a problem—it informs solutions, like deploying community health workers in high-need areas." At its core, AI in healthcare is a tool to support decision-making, with the ultimate goal of empowering people—patients, providers, and communities. [Watch the full webinar here 👉 https://lnkd.in/g96imEV9]
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"AI in healthcare will never replace the human touch—it’s about enhancing decisions to empower patients, providers, and communities." – Eben Esterhuizen, CTO, Siftwell. Be sure to check out this webinar with The Root Cause Coalition where Siftwell leaders shared how AI is transforming healthcare by turning data into actionable insights, addressing disparities, and supporting smarter decision-making. From reducing ER visits to improving medication adherence, AI is a tool for real-world solutions. [Watch the full webinar here 👉 https://lnkd.in/g96imEV9]
"AI in healthcare will never be fully automated because, at the end of the day, it’s about humans helping humans. Machines can enhance decisions, but the human touch remains essential." – Eben Esterhuizen, CTO & Co-Founder, Siftwell. Last week, during a webinar hosted by The Root Cause Coalition, Trey Sutten, Eben Esterhuizen, and Kim W. Webb explored the practical applications of AI in healthcare, focusing on practicality and safety over hype. Current AI applications in healthcare prioritize predictions and actionable recommendations over the "futuristic generative AI" that often dominates headlines. The mission is clear: turn historical data into meaningful insights to improve patient outcomes and optimize costs. What does this look like in real-world scenarios? Siftwell's models can identify the root causes of health disparities—like food insecurity or lack of transportation—and recommend targeted interventions. For example, ensuring access to primary care can help reduce avoidable healthcare expenses, such as emergency department visits. AI should never replace humans—it should enhance their abilities. As Kim said, "Knowing that 65% of a cohort has low adherence to medication doesn’t just tell us a problem—it informs solutions, like deploying community health workers in high-need areas." At its core, AI in healthcare is a tool to support decision-making, with the ultimate goal of empowering people—patients, providers, and communities. [Watch the full webinar here 👉 https://lnkd.in/g96imEV9]
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Interview with Brian Anderson, MD, Coalition for Health AI (CHAI) CHAI is focused on the following guiding principles as they pioneer a safe, equitable future in healthcare: 1. Finding a secure approach to introducing AI into the clinical setting. Their strategy includes starting with less critical environments to evaluate the safety and accuracy of AI before expanding to more high-stakes settings, such as the ICU. 2. Engaging communities that have been historically excluded from digital health advancements. Coalition for Health AI (CHAI) is actively seeking ways to ensure these communities have the opportunity to participate and benefit from the digital health revolution. 3. Striking a delicate balance between advancing AI technology in healthcare and implementing necessary safeguards, guidelines, and guardrails. They acknowledge that healthcare is a field where patient lives are at stake, and therefore, they prioritize ensuring the safety and well-being of individuals. #CoalitionforhealthAI #safeAI #equitableAI #transparentAI #regulatoryaffairs
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What is your impression of AI in healthcare? Check out my response published in the latest Becker’s Hospital Review speakers series. #VirtuaHealth #DigitalTransformation
'Nicety' vs. 'necessity': 37 impressions of AI in healthcare
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For the 4th year in a row, healthcare executives have chosen AI as the most exciting new technology in the industry. According to the annual Top of Mind for Top Health Systems survey from the Center for Connected Medicine at UPMC, the AI capabilities leaders are most excited about are generative AI, clinical care, ambient speech recognition and decision support. Our experts help healthcare organizations integrate AI into their operations in a way that transforms care, accelerates research, streamlines operations and enhances patient and provider experiences. Learn more in the Comments section below. Read the survey here: https://lnkd.in/gFDDh36T I #HealthcareAI #HealthTech #HealthInnovation KLAS Research
Excitement for AI’s Potential in Health Care Grows as Progress is Observed
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Health system leaders have spoken, and #AI is at the forefront of healthcare innovation. For the second year in a row, AI has been ranked the most exciting and most improved technology, with 85% of execs naming it as the game-changer. From generative AI in clinical documentation to automating routine tasks, the potential is limitless! Download the 8th annual Top of Mind research to learn more about top tech priorities in health care. https://lnkd.in/e_RTKDaj
Excitement for AI's Potential in Health Care Grows as Progress is Observed | The Center for Connected Medicine
https://connectedmed.com
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𝗔𝗜 𝗶𝗻 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲: 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗳𝗼𝗿 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗣𝗮𝘁𝗶𝗲𝗻𝘁 𝗖𝗮𝗿𝗲 Exciting advancements in 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗮𝗿𝗲 𝗼𝗻 𝘁𝗵𝗲 𝗵𝗼𝗿𝗶𝘇𝗼𝗻 𝗮𝘀 𝗮𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗜) 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗲𝘀 𝘁𝗼 𝗿𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗲 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲. Our latest review article delves into the transformative role of AI in healthcare, highlighting its potential to enhance patient care and outcomes. Through a comprehensive analysis of current literature, we explore the myriad applications of AI in disease diagnosis, treatment recommendations, and patient engagement. By shedding light on the challenges and opportunities associated with 𝗔𝗜 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲, we aim to equip healthcare providers with the knowledge and tools needed for successful implementation. The results of our investigation underscore the immense potential of AI in healthcare, from improving diagnostic accuracy to optimizing treatment selection and clinical testing. By harnessing the power of AI to analyze vast datasets and identify patterns, we can surpass human performance in various healthcare domains, 𝗹𝗲𝗮𝗱𝗶𝗻𝗴 𝘁𝗼 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗲𝗱 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆, 𝗰𝗼𝘀𝘁 𝘀𝗮𝘃𝗶𝗻𝗴𝘀, 𝗮𝗻𝗱 𝗲𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗽𝗮𝘁𝗶𝗲𝗻𝘁 𝗰𝗮𝗿𝗲. AI has the capacity to revolutionize personalized medicine, medication dosages, population health management, and patient education, among other areas. By leveraging AI technologies, 𝘄𝗲 𝗰𝗮𝗻 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘆, 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀, 𝗮𝗻𝗱 𝗳𝗼𝘀𝘁𝗲𝗿 𝗽𝗮𝘁𝗶𝗲𝗻𝘁-𝗽𝗵𝘆𝘀𝗶𝗰𝗶𝗮𝗻 𝘁𝗿𝘂𝘀𝘁. As we navigate the complexities of implementing AI in healthcare, it is essential to address challenges related to data privacy, bias, and the importance of human expertise. By responsibly integrating AI into clinical practice, 𝘄𝗲 𝗰𝗮𝗻 𝘂𝗻𝗹𝗼𝗰𝗸 𝗶𝘁𝘀 𝗳𝘂𝗹𝗹 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝘁𝗼 𝗿𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗲 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗮𝗻𝗱 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝗽𝗮𝘁𝗶𝗲𝗻𝘁 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀. https://lnkd.in/dX2CGSQH #AIinHealthcare #PatientCare #ClinicalPractice #HealthTech #RevolutionizingHealthcare
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Artificial Intelligence is revolutionizing healthcare, paving the way for faster diagnoses and improved patient care. Fund managers share insights on the transformative impact of AI on global healthcare systems. Read more #HealthTech #ArtificialIntelligence #WorldHealthDay
World Health Day: How AI plays a pivotal role in advancing healthcare
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How are health system leaders planning to transform care? According to the latest Top of Mind survey, AI is driving the excitement with groundbreaking applications like generative AI. #Telehealth and #virtualcare are also on the rise as key technologies reshaping patient care post-pandemic. 💡 Dive into the full report to explore the top tech priorities shaping health care: https://lnkd.in/e_RTKDaj
Excitement for AI's Potential in Health Care Grows as Progress is Observed | The Center for Connected Medicine
https://connectedmed.com
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As AI continues to transform healthcare, ensuring that these systems are safe, fair, and effective for diverse patient populations is critical. Today, CTeL attended the Assistant Secretary for Technology Policy Annual Meeting to hear about local AI Evaluation. Key Take-Aways: 🔍 Testing AI in Real-World Settings: AI systems must be tested where they will actually be used to provide valuable evidence of their impact on both patients and healthcare professionals. This ensures that AI solutions are truly effective in practice, not just theory. 🛠️ Local Validation through ASTP’s HTI-1 Provisions: The Department of Health and Human Services' ASTP provisions support local validation of AI tools, encouraging tailored testing that accounts for the unique needs of each healthcare environment. 💡 Evolving Best Practices for AI Evaluation: The tools and practices for assessing AI in healthcare are still developing. Experts emphasized the importance of continuously monitoring AI systems to ensure they are fair, appropriate, valid, effective, and safe for the patients and organizations they are meant to serve. 🏥 Ensuring Healthcare Systems Can Evaluate AI: Diverse healthcare organizations need the capability to evaluate AI tools effectively. Panelists discussed ways to empower healthcare delivery systems to assess and monitor AI on an ongoing basis to maintain trustworthiness and equity. Special thank you to the panelists for their insightful discussions: Peter Embí, M.D., M.S. – Vanderbilt University Medical Center Corey Miller – Vice President of Research and Development with Epic Dr. Sara Murray – MD, MAS, VP and Chief Health AI Officer at University of California, San Francisco Health Jordan Everson – PhD, MPP, Public Health Analyst at ASTP, U.S. Department of Health and Human Services (HHS) The future of healthcare AI is bright, but we must continue to prioritize ethical standards, rigorous validation, and continuous monitoring to ensure these technologies improve patient outcomes across diverse healthcare settings. Looking forward to learning and sharing more! #Telehealth #HealthAI #MedicalInformatics #AIinHealthcare #CTeL #DigitalHealth #HealthInnovation #ArtificialIntelligence #PatientSafety #HealthcareTechnology
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Thanks, Randi Haseman Becker's Healthcare, for allowing me to contribute to the discussion. The intersection of AI and healthcare is undeniably at the forefront of revolutionizing medical care. As we navigate this pivotal moment, it's crucial to recognize the transformative potential AI brings to the table, from streamlining operations to pioneering novel treatment methodologies. The integration of AI within the healthcare sector has the power to automate tasks, refine patient data analysis for enhanced care outcomes, and notably reduce costs. For instance, the deployment of hybrid chatbots can significantly alleviate the workload on healthcare professionals, minimize unnecessary procedures, and bolster patient education and compliance with treatment regimes. The breadth of AI's application in healthcare spans from simple administrative duties to complex areas of medical diagnostics and the development of innovative therapeutic strategies. Yet, as we embrace this technological evolution, we must also be mindful of the inherent risks it presents. A paramount concern is the potential dilution of the personal rapport between patients and healthcare providers—a cornerstone of effective treatment. Moreover, the risk of ingrained biases within AI algorithms poses a real threat, potentially exacerbating existing health inequities if not meticulously managed. Hastily integrating AI into healthcare without thorough consideration of these factors could lead to diminished trust or ethical quandaries. Thus, while the shift towards AI-enhanced healthcare is laden with opportunities, it demands a judicious approach that preserves the human touch in patient interactions and upholds ethical integrity and equity. This balanced pathway is essential for realizing AI's full promise in healthcare, ensuring we advance not just in technology but in our commitment to compassionate, equitable patient care. #valuebasedcare #healthcare #beckers #AI
'Nicety' vs. 'necessity': 37 impressions of AI in healthcare
beckershospitalreview.com
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