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What is AI governance and why does it matter? Join Sheppard Mullin's Healthy AI team for a webinar on August 21st to learn about AI governance, why it's important and how to develop an effective AI governance program for your healthcare organization. CLE is available and registration information is below.

Purveyors of AI say that it has the potential to revolutionize healthcare by addressing some of the challenges faced by health systems. Some claims made include: Enhanced Care Outcomes: AI can analyze vast amounts of data. It helps clinicians make informed decisions, predict disease patterns, and recommend personalized treatments. By leveraging AI, healthcare providers can improve patient outcomes and enhance the overall quality of care. Efficiency and Productivity: AI streamlines processes, optimizes resource allocation, and automates routine tasks, allowing healthcare professionals to focus on patient care. For instance, AI-powered chatbots can handle administrative queries, freeing up staff time. Predictive Insights: AI can predict an individual’s risk of certain diseases. By identifying high-risk patients early, healthcare systems can implement preventive measures and reduce the burden on hospitals and clinics. Access to Healthcare Services: Telemedicine and virtual health platforms, driven by AI, improve access to healthcare services. This is especially valuable in rural or underserved areas.

I'm proud to announce the completion of Zite AI's latest case study! In the study, we conducted the *world's first* AI generated tailored benchmarking analysis. Check the link out to read the study! How Zite AI's Methodology is Different: Traditional benchmarks typically compare an organization to its peers, but we goes a step further. Our tailored benchmarking method compares your organization to your own potential. This means we show you how many patients your physicians, clinics, and hospitals should be seeing based on your unique circumstances. Our AI automatically factors in your community characteristics, competitive landscape, and social determinants of health. Results of the Study: Our partners in this case study were highly impressed with the results. The benchmarking analysis revealed previously unknown patterns that could be potential areas of concern. This is just the tip of the iceberg. Zite AI is optimizing healthcare so we can build robust healthcare systems and improve access to care for everyone. #Healthcare #ZiteAI #Optimization #Benchmarking

Recently attended an engaging roundtable hosted by the Digital Healthcare Council and Independent Healthcare Providers Network (IHPN), focusing on practical applications of AI in healthcare. It's truly inspiring talking with other innovators in this space. The discussion, expertly chaired by Catherine Davies, featured thought leaders like Angela Spatharou from IBM, Michael Macdonnell of Huma, and Hannah Gibson from Visiba Care. Their diverse perspectives shed light on both the current and potential impacts of AI in healthcare, offering a comprehensive view of the landscape. Key Takeaways 💭 - Responsibility and Ethics: Reinforcing the need for responsible AI, with a focus on fairness, transparency, explainability and stakeholder engagement. - AI’s Role in Healthcare: Effective AI solutions are crucial, from administrative assistance to potentially aiding in personalised interventions under clinical oversight. - Understanding Generative AI's Current Limits: The discussion about generative AI’s limitations in patient-facing roles without clinician oversight was particularly notable. It's a reminder of the importance of balancing innovation with safety and efficacy as these technologies continue to develop. Thank you to all who contributed to the discussion. This roundtable reinforced my belief in the power of collective wisdom in shaping the future of healthcare technology. As we continue to explore and expand the boundaries of AI in healthcare, it is the collaboration and shared insights of industry leaders that will pave the way for responsible and innovative solutions. #AIinHealthcare #HealthcareInnovation #DigitalHealthLeadership #EthicalAI

Just had an incredible experience at the AI for Healthcare Forum during HIMSS24! in Orlando, FL 🚀 The sessions, especially "AI and Healthcare: Bridging the Gap Between Magic and Illusion," "Unleashing the Potential of Foundation Models," and "Healthcare Leaders! Beware of Hidden Dangers: 10 Essential Tips to Avoid Planting AI Time Bombs in Your Organization," offered profound insights into the evolving role of AI in healthcare. These discussions illuminated the fine line between innovative solutions and the ethical, practical challenges we face in implementing AI technologies. It's clear that the potential is vast, but the path is nuanced and requires careful navigation to avoid pitfalls. A huge thank you to the organizers and speakers for shedding light on these critical topics and fostering a space for meaningful dialogue. The journey towards integrating AI in healthcare is complex but, as I learned, filled with opportunities for transformative impact. https://lnkd.in/dD8CdFuY #AIinHealthcare #HIMSS24 #HealthTech #DigitalHealth

The Office of the National Coordinator for Health Information Technology (ONC) recently finalized a rule to support health IT interoperability and AI transparency. Among other things, it establishes transparency requirements for AI and other predictive algorithms used in certified health IT, as part of a wider effort to promote responsible AI. AI technology is one the biggest disruptors in the healthtech field. This decision is a positive step for the increasing use of AI in healthcare. #HealthTech #AI #Healthcare

🌐 **AI in Healthcare Policy: Embracing Data-Driven Decision Making** In the ever-evolving landscape of healthcare, AI is revolutionizing policy-making by enabling data-driven decisions that are both precise and impactful. Here’s how AI is shaping the future of healthcare policy: 1. **Enhanced Predictive Analytics**: AI algorithms analyze vast datasets to predict health trends, enabling policymakers to anticipate and mitigate potential public health crises more effectively. 2. **Personalized Healthcare Policies**: By leveraging patient data, AI helps create tailored health policies that address specific needs of diverse populations, improving overall health outcomes. 3. **Efficient Resource Allocation**: AI-driven insights optimize the allocation of healthcare resources, ensuring that critical supplies and services are available where they are needed most. 4. **Improved Regulatory Compliance**: AI assists in monitoring and ensuring compliance with healthcare regulations, reducing the risk of violations and enhancing patient safety. 5. **Transparent Decision-Making**: Data-driven policies supported by AI offer transparency and accountability, fostering public trust in healthcare systems. The integration of AI in healthcare policy is not just a technological advancement; it’s a paradigm shift towards more informed, efficient, and equitable healthcare for all. 🌟 #AIinHealthcare #DataDrivenDecisions #HealthcarePolicy #Innovation #HealthTech

HIMSSCast: Tips for smaller health systems starting out with AI - Healthcare IT news #HIMSSCast: Tips for smaller health systems starting out with AI In a recent HIMSSCast episode, experts shared valuable insights for smaller health systems looking to implement AI technology. Here are some key takeaways from the discussion: #Understanding the basics of AI Before diving into AI implementation, it's crucial for smaller health systems to have a solid understanding of the basics. This includes knowing the different types of AI technologies available and how they can be applied in healthcare settings. #Identifying use cases for AI One of the first steps in implementing AI is identifying use cases that can benefit from this technology. By focusing on specific areas where AI can make a significant impact, smaller health systems can prioritize their efforts and resources effectively. #Building ai.mediformatica.com #health #healthsystems #healthcare #about #healthcareai #this #bill #clinical #news #artificialintelligence #artificialintelligenceinhealthcare #healthcareit #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/3RwdVP9)

Data have become the most valuable commodity in health care, but ques­tions remain about whether there will be an AI “revolution” or “evolution” in health care delivery. Early AI applications in certain clinical areas have been promising, but more advanced AI tools will require higher quality, real-world data that is interoperable and secure. The steps health care organization leaders and policymakers take in the coming years, starting with short-term opportunities to develop meaningful AI applications that achieve measurable improvements in outcomes and costs, will be critical in enabling this future that can improve health outcomes, safety, affordability, and equity

This week Joe Ganley, V.P. Government and Regulatory Affairs at athenahealth, joined the Health Innovation Alliance and fellow policy experts and leaders in the industry for an in-depth panel discussion on healthcare AI. They gave real-world insights and examples on AI's role in healthcare, along with what is and isn't currently working and opportunities for growth. #healthinnovation #healthcare #healthcareIT #healthIT #HCIT #AI