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What are some of the ways Kaiser Permanente is using AI? One of the most exciting areas for AI and technology is in supporting our clinicians to manage some of the administrative burden that they face on a day-to-day basis. Kaiser Permanente, to the best of my knowledge, is deploying the largest implementation of the clinical AI scribe technology in the country. The purpose is to generate a first draft of the clinical note from a recording of the patient’s encounter. If we look five years into the future, what do you think AI will be doing in healthcare? We often treat people as a member of a larger population. I think there’s a future state in which we really are moving toward much more personalized care, where the entirety of not just our medical record, but our activities, the foods we eat, are really being used and leveraged to inform diagnoses and interventions that are customized to the individual. 

AI for healthcare needs to be boring. And by that I mean that instead of trying to use AI for the part of healthcare that clinicians find most interesting - differential diagnosis, AI should first be used for the boring and repetitive parts of healthcare - billing and record keeping. This approach alleviates the administrative burden on clinicians while ensuring a smoother integration of AI technologies into healthcare systems. Kaiser Permanente serves as a prime example of this strategy in action. By deploying AI to generate first drafts of clinical notes from patient visits, they have reduced the workload on their medical staff, allowing them to concentrate more on patient care.  #AI #healthcare

Which parts of healthcare should be off-limits to AI? As technology becomes a bigger part of healthcare, hospital leaders are asking themselves where and how best to use it. Chinese researchers are reportedly developing an all-AI hospital where machines make diagnoses and treatment recommendations, which goes well beyond anything U.S. systems are considering. Leaders from Emory Healthcare and Stanford Health Care discuss the ethical and effective use of AI in this Becker's Healthcare article. Our experts at Pivot Point Consulting can ease AI integration by helping systems scale data ethics and governance to ensure ethical use without stifling innovation. https://lnkd.in/gKdutVne I #ArtificialIntelligence #MachineLearning #HealthTech #HealthcareInnovation #DigitalHealth

This WSJ article is a good example of a company using AI in an organization: employee and AI collaboration, setting specific use cases, and understanding all notations of AI. Dr. Daniel Yang, VP of artificial intelligence and emerging technologies at Kaiser Permanente, talks about uses of AI. Kaiser learned that one starts with the problem and then finds the data and develops the tool. The most exciting areas for AI and technology is in supporting Kaiser's clinicians to manage some of the day-to-day administrative workloads that they face. AI is used to generate a first draft of the clinical note from a recording of the patient’s encounter. The healthcare provider spends a lot of effort to identify, flag and remove inaccuracies or hallucinations before they show up in the first draft of a clinical note. For this reason, Kaiser makes sure that clinicians are reviewing every note. 18 months ago, physicians felt that AI was a threat, particularly diagnostic AI. They have rapidly shifted attitudes and are now excited, delighted and demanding more of it. It is important to balance the enthusiasm around developing AI tools with a focus on testing, validating, and demonstrating the safety and effectiveness of these tools. Kaiser is not comfortable with AI automating clinical decision-making in diagnosis or treatment. AI is a copilot to the clinician, not a decision-making agent. Kaiser sees a future state of moving toward more personalized care with AI. #ai #healthcare

AI use in healthcare is a highly debated topic. However, there is one area of healthcare where it can make a significant impact without violating ethics or patient privacy. By using AI to manage tasks such as revenue cycle, call centers, and more, healthcare administrators can take advantage of AI’s advanced data capabilities to process information without compromising the human touch of direct patient care. This is a great way to use technology to complement, not replace, what makes healthcare special. #healthcare #AI #HealthcareAdministrator

❓What if AI could transform your primary doctor’s daily grind into exceptional patient care?  🤖🤝👩⚕️ That's the promise of AI in healthcare, and it's closer than we think. 🌎 Imagine a world where doctors  have more time for patients. Where  tools powered by complex algorithms help overwhelmed healthcare providers free up time for patients, reduces disparities, and tackles administrative burdens. To learn more about the potential and pitfalls of AI in healthcare, I attended a recent discussion expertly moderated by Kara Carter, Senior Vice President of Strategy and Programs at the California Health Care Foundation. This is a  summary of what I learned: AI is already making waves in healthcare: 📜Diagnostics: AI algorithms are assisting doctors in analyzing medical images with incredible accuracy, leading to faster and more precise diagnoses. 📜Improved workflows: AI can automate tasks like scheduling appointments, updating records, and generating reports, freeing up valuable time for patient care. 📜Population health: AI can analyze vast datasets to identify trends and predict health risks, allowing for proactive interventions and improved population health outcomes. But AI isn't a magic bullet. We need to address challenges: ⚠️ Data privacy: Ensuring patient data security is paramount. ⚠️ Algorithmic bias: We must ensure AI algorithms are fair and unbiased in their decision-making. ⚖️ ⚠️ Human oversight: AI should always be used to augment, not replace, human expertise. 🤝 The future of healthcare is collaborative. AI can be a powerful tool to support healthcare professionals, improve workflows, and ultimately, deliver better patient care. The good news? California is leading the charge!  Secretary Mark Goly of the California Health and Human Services Agency emphasizes the importance of building trust, focusing on responsible AI development, and addressing inequities to ensure AI benefits all communities. ❓The question is:  How can we  leverage AI in our practice?

"AI should augment, not replace, the invaluable intuition and expertise of healthcare professionals." Our SVP & Global Head of Clinical, Clay Hall, PhD, MBA, NP-C, recently authored an insightful article on striking the perfect balance between leveraging the numerous benefits of artificial intelligence in clinical settings and maintaining the critical role of human intelligence in ensuring patient care remains safe and effective. https://lnkd.in/gdxrq6-C

Terrific article about AI in healthcare. Beyond diagnostic benefits, the greatest value from AI in Provider Healthcare is reducing the crushing administrative burden on clinicians so that they can perform at the top of their license - freeing up their very scarce capacity to deliver more care, to more patients, in their communities.

As AI continues to revolutionize healthcare, it's crucial to identify where its reach should stop. There is a delicate balance between leveraging AI for innovation and protecting the human elements of care that technology cannot replicate. From patient privacy to ethical boundaries, there are areas where AI must remain hands-off to ensure that technology enhances rather than diminishes the quality of healthcare. #HealthcareInnovation #AIinHealthcare #EthicalAI #HealthTech #PatientCare #HealthcareLeadership #DigitalTransformation https://lnkd.in/eBTQdqW7

➡️𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗼𝗳 𝗔𝗜: 𝗖𝗠𝗦 𝗥𝗲𝗴𝘂𝗹𝗮𝘁𝗶𝗻𝗴 𝗔𝗜 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗠𝗲𝗱𝗶𝗰𝗮𝗿𝗲 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲 𝗣𝗹𝗮𝗻𝘀 (𝗠𝗔) - 𝗙𝗶𝗻𝗮𝗹 𝗥𝘂𝗹𝗲 § 𝟰𝟮𝟮.𝟭𝟬𝟭(𝗰) The Big Health Insurers have been way ahead on AI application, especially as it applies to MA. The core question: Can these technologies be trusted to make fair benefit coverage decisions? 📃𝗡𝗘𝗪 𝗔𝗜 𝗥𝗘𝗚𝗨𝗟𝗔𝗧𝗜𝗢𝗡 The recent passage of the CMS 422.101(c) final rule underscores a critical balance. While algorithms and AI can streamline processes, their use in clinical coverage decisions for MA plans needs tight regulation. The essence of these regulations? Ensuring that decisions are patient-centered, not just profit-driven. 🤝𝗔𝗜 𝗧𝗢 𝗛𝗘𝗟𝗣 𝗧𝗛𝗘 𝗜𝗡𝗗𝗜𝗩𝗜𝗗𝗨𝗔𝗟 𝗣𝗔𝗧𝗜𝗘𝗡𝗧 Health insurers were using predictive algorithms to suggest an early discharge based on AI strictly applying CMS discharge criteria. Unfortunately, that strict applications overlooked the unique needs of the patient. Thus leading to medically inappropriate discharges from care facilities. The regulations demand that each decision be anchored in the individual's specific medical history and current condition, safeguarding against impersonal, one-size-fits-all judgments. 📈The role of AI in healthcare is undeniably growing. However, this expansion brings with it a responsibility to use these tools in ways that enhance, not compromise, patient care. Compliance with § 422.101(c) basically makes it a legal requirement to apply AI ethically. 💡𝗧𝗛𝗘 𝗧𝗔𝗞𝗘𝗪𝗔𝗬 The message is clear: Technology should be a tool for enhancing personalized care, not a shortcut around it. As we navigate the intersection of AI, algorithms, and healthcare, this final rule commits to prioritizing the patient first. Your thoughts? How can we best leverage technology in healthcare while ensuring patient-centered care remains at the forefront? Link to the document in comments.