Wise Wolves’ Post

Salesforce unveils AI tools to ease administrative burdens for healthcare professionals. With Einstein Copilot: Health Actions and Assessment Generation, tasks like appointment scheduling and data collection become streamlined, allowing professionals to focus more on patient care. Read the full article at https://lnkd.in/dGYF6Zj2 for more details. #HealthcareInnovation #AI #Salesforce"

Despite the momentum of AI in healthcare, many provider organizations are unsure of how to proceed and capture true ROI from their efforts. In this article for Physicians Practice, the Fathom team debunks some common AI misconceptions and shares actionable steps on the best way to approach AI adoption for your practice, including: [1] Assessing organizational readiness: Lay out workflows, requirements, data availability, and other factors that shape potential AI applications. [2] Identifying inefficiencies in your operations: Comprehensively review pain points to isolate priorities for AI. Many organizations find that administrative workflows such as coding offer significant opportunities to save costs, improve results, and free up resources. [3] Setting measurable goals: Orient your team around what success looks like, thus helping to ensure ROI from the project. For example, autonomous coding should fully automate 90%+ of encounters upon go-live. Such goals provide clear criteria for evaluating impact. [4] Researching AI vendors: Among other criteria, evaluate track record, integration approaches, and scalability to ensure a long-term partnership that grows as you do. [5] Trialing an AI solution and vendor: Test vendor claims for yourself by running a trial first. Any strong vendor should agree to proving performance for a client to validate results and ROI. Dive into the full article for the complete roadmap: https://lnkd.in/eRiCx7Zi #MedicalCoding #MedicalBilling #RevenueCycleManagement #ArtificialIntelligence #Healthcare

Salesforce recently announced they are launching a tailored copilot solution aimed at infusing AI into healthcare organizations. Given privacy and other concerns, adoption rates of AI in healthcare remain low but the interest and intentions for adoption are there. This Dive Brief has the highlights on Einstein Copilot. #Healthcare #ArtificialIntelligence

#LifeSiencesFriday: Einstein Copilot: Health Actions 🌟 AI is also a hot topic in the Health and Life sciences industry. 👩⚕️ Yes, it is everywhere. In March, #Salesforce launched the innovative healthcare data platform, Einstein Copilot: Health Actions. You might have heard of ‘Einstein Copilot’, your AI assistant that can automatically update customer records, analyze data, provide actionable insights, and much more. With Health Actions, healthcare professionals can simplify their daily tasks. 💡Let’s scroll to discover how this feature can enhance your workflow and patient care! #Brightfox #Salesforce #Healthcare #LifeSciences #AI #Einstein 

Our annual survey on Enterprise AI Adoption and Governance in Healthcare Organizations as part of our CHIME Foundation membership, is out! This survey dives deep into how AI-based solutions are being implemented in healthcare organisations and the extent to which they are integrated into overall business, clinical, operational, and financial objectives. Some key learnings: - Respondents indicate a lack of any AI steering committee, AI/GenAI policy, or other governance in place for making AI-related decisions at an enterprise level - There are minimal to significant gaps in the required data models and IT infrastructure to plan and implement AI/Gen AI solutions in healthcare organisations Download now for the complete set of insightful findings! #HealthcareAI #CHIME #SurveyLaunch #bigrio #damo #GenAI #AI #healthcare

Unpopular Opinion:  Healthcare’s resistance to AI has cost it billions. Strict regulations are no excuse for inefficiency. AI is the answer, and it’s already transforming revenue cycles. Think about it…healthcare has been notoriously slow to adopt new technologies. Whether it’s due to strict regulations or the sheer complexity of systems in place, the industry has lagged behind in terms of innovation. That’s going to change FAST. AI is making it possible to solve some of the most stubborn, costly, and time-consuming problems in healthcare. And it’s starting with the revenue cycle. Here’s the lowdown: Healthcare is a $4 trillion industry, but much of that cost is tied to inefficient systems - especially in billing and payments. AI can change this. By automating complex processes like claims management and payer negotiations, AI is not just cutting costs, but also freeing up valuable resources. That means healthcare providers can focus on what matters most: delivering quality care. At my company, ENTER, we’ve built an AI-powered Revenue Cycle Management platform from the ground up. When we launched, we knew that the healthcare revenue cycle was ripe for disruption: endless paperwork, claims denials, payment delays…it’s a mess. Our solution is already reducing claim errors, speeding up payments, and allowing organizations to scale WITHOUT adding overhead. This is only the beginning! As AI continues to evolve, its potential to revolutionize healthcare systems will only grow. Imagine…real-time claims adjudication, predictive analytics that spot billing issues before they even happen, or even AI-driven recs that improve care outcomes while lowering costs. We’ve already seen awesome results with AI in RCM, but this is only one piece of the puzzle. There’s so much more that AI can bring to healthcare. 👉 I’d love to hear your thoughts: how do you think AI will continue to transform healthcare systems? What’s next on the horizon? Drop your thoughts in the comments below! #AI #HealthcareAI #RCM #HealthTech

I really like this interview with Bill Fera and his point about governance is well-made. I find my clients regularly under-govern their transformation efforts across the organization - AI or otherwise. Additionally, I'm finding a need for greater strategic alignment across the portfolio of transformation initiatives with an eye not just on the metrics for the initiative (as mentioned here) but to take a wholistic view of all transformation initiatives and their measureable impact across the transformation lifecyle (#patient, #provider, #workforce, #VBC, #culturetransformation) and levels of transformation (#technology, #revcycle, #caremodel, #clinicalworkflow, and #patientjourney) https://lnkd.in/gwwP8hQP

Caught Your Attention Yet? AI-Powered Healthcare Insights Take Center Stage Microsoft Global's chief medical officer is set to unveil groundbreaking AI applications in the healthcare industry, showcasing how this transformative technology is reshaping the future of patient care. As AI continues its rapid advancement, forward-thinking organizations are harnessing its power to streamline operations, enhance patient outcomes, and unlock unprecedented efficiencies. This development highlights a fascinating paradox - while AI is automating an increasing number of tasks, it is also enabling healthcare professionals to dedicate more time to high-value, empathetic patient interactions. By automating repetitive administrative work and enhancing clinical decision-making, AI is freeing up providers to focus on the human element of healthcare. The implications of this AI-driven shift are profound. Not only does it challenge the conventional wisdom that automation will lead to job losses, but it also presents a unique opportunity for healthcare organizations to redefine their competitive edge. Those who embrace AI as a strategic partner, rather than a threat, will be poised to deliver unparalleled patient experiences and drive innovation in their field. So, what's the key to leveraging AI for maximum impact? The answer lies in a balanced, thoughtful approach that prioritizes ethical AI practices and responsible implementation. By staying ahead of the curve and exploring AI's potential, healthcare leaders can future-proof their organizations and position themselves as trailblazers in the digital transformation of the industry. The future of healthcare is AI-powered, but it's up to us to shape that future. What AI-driven innovations are you most excited about, and how can your organization stay ahead of the curve? Let's start a conversation! 🤖 #AI #AITrends #HealthcareInnovation #DigitalTransformation #AutomationTips #ProductivityHacks ☕ Buy me a coffee: https://lnkd.in/eRuDv8BV 💳 IndiePage: https://juliopessan.app/ 🤖 UKode Labs: https://ukodelabs.com/ 📝 Docspark: https://docspark.io/

Is your healthcare organization struggling to implement genAI in a meaningful way due to recent industry volatility or is legacy infrastructure holding you back? In her latest article with CIO Online, Anita Mahon emphasizes that selecting a knowledgeable AI partner is vital for fully harnessing AI’s potential in healthcare, as integrating AI successfully means aligning it with the overall organization strategy. She highlights how EXL helps healthcare clients develop a data driven approach for effective AI integration. Ready to embrace the future of healthcare? Read the full article here: https://bit.ly/4f3lXZ5 #DataManagement #GenAI #Healthcare

Generative AI is pretty cool, especially when it can put the necessary tools in the hands of revenue cycle management teams and can cut time spent on prior authorization by up to 50%, like with AKASA! #generativeAI #RCM #revenuecycle #priorauthorization