Chris Bischoff’s Post

In the last 20 years, we’ve seen technology and innovation drive costs down and increase access across many different industries, from electronics to automotive. In healthcare, though, we've seen the same penetration of technology but with the opposite effect. Healthcare is now significantly more expensive than it was 20 years ago, and inequity is increasing. While in other industries, we’ve successfully used technology to shift the workload from humans to machines, in healthcare, we’ve been using technology to make the work of human clinicians slightly better but much more expensive. We believe that the future of healthcare, and particularly how we deliver care will come down to our ability to shift the workload from clinical teams to AI. By doing so, we can remove barriers to access, drive costs down, and elevate the role of the human clinician so that they can focus on the human touch and the holistic needs of their patients. This is our vision for Sword, and that’s why today I’m very proud to unveil Phoenix, the world’s first AI Care Specialist. Phoenix represents the culmination of 10 years of relentless innovation on our path to make world-class healthcare as accessible as running water. Since pioneering the novel concept of AI Care during my PhD over a decade ago, we’ve been tirelessly working on its evolution through many different iterations. Now, the launch of Phoenix represents the largest leap forward of our model to date, and we’re very excited about the impact it will have on how the world accesses and receives care. With more than three million AI sessions delivered to date, we’ve proven that our AI Care model can deliver on our initial vision of using AI to make high-quality care readily available, removing barriers to access while cutting millions of dollars in healthcare waste for our clients. Phoenix will allow us to accelerate our ability to deliver on this vision even further and expand into other conditions where care delivery is still a 100% labor-intensive job with massive barriers to access and high costs. Please check out Phoenix and what she’s capable of in the video below. Still only 5% done.

AI care is here and it is powerfully transforming how we can effectively deliver the right care to all Americans!

How will you integrate Gen AI into your Healthcare business?

In healthcare, the rise of AI isn't just a tech story; it's a human story. As we integrate more AI into patient care, the big talk is all about #aialignment – making sure our AI not only works brilliantly but also in-line with human values. 🚀 Why AI Alignment Matters in Healthcare: As we embrace AI, we face the complex task of aligning these systems with the core values of healthcare. This means building AI that's not just intelligent, but also empathetic, ethical, and equitable. AI alignment focuses on designing systems that understand and respect human values, ethical considerations, and patient needs. 👩⚕️ Patient-Centered AI: At the end of the day, it's all about the patients. This means AI in healthcare needs to be more than just high-tech; it needs to be high-touch, focusing on personalized care, reducing biases, and making sure everyone gets fair treatment. 🔧 The Challenge of Implementation: The real test is in implementation. Aligning AI in healthcare requires collaboration between tech experts, healthcare professionals, and policymakers. It involves continuous learning, adapting to new medical insights, and rigorously testing AI systems to ensure they meet ethical and professional standards. 💭 Your Thoughts?: We are curious to hear from others in the field. How do you see AI alignment shaping the future of healthcare? What steps are you taking to ensure your AI initiatives are ethically aligned and effectively integrated into healthcare services? #aiinhealthcare #healthtech #ethicalai #patientcare #innovation

Listening to a webinar on AI in medical billing and coding truly sparked fascinating insights. The integration of AI is poised to elevate documentation and revenue cycle processes in healthcare. It's vital to emphasize that AI will complement, not substitute, human input in this domain. The future holds promising advancements as technology reshapes healthcare practices. Leaders in these sectors can harness AI software to streamline workflows, but skilled and experienced staff will remain indispensable. #AI #Healthcare #Technology #MedicalCoding #RevenueCycleManagement

Not ‘arms and legs’, healthcare companies are using AI to make ‘brains’: health-tech expert Business leaders across sectors have been extolling the benefits of artificial intelligence (AI) and machine learning and how they will disrupt and transform the industrial landscape. In pharma and healthcare, too, AI is starting to make its mark, with large companies using it for a range of operations. However, experts believe these technologies still have some distance to cover before they mature, and they may take at least a decade to realise their full potential.

How AI Can Transform Decision-Making in Healthcare | Ana-Maria Constantin | TEDxBoston As healthcare costs have continued to rise in the US, the system has also grown more complex and increasingly opaque. Drawing on my experience in machine learning engineering, I introduce Cascade Health's Conversational AI Healthcare Assistant, a groundbreaking solution that empowers individuals to ask questions about medical prices, quality, coverage, and location. My talk explores recent government regulations that mandate hospitals and insurance companies to disclose their prices, offering hope for healthcare transparency. By leveraging large language models along with public and private healthcare data, we deliver data-driven answers in plain English to optimize decision-making in real-time and personalize the experience for anyone seeking or giving care. AI, Data, Health, Machine Learning, Medicine, Society, Start-up, Technology Ana-Maria Constantin is the CEO and Co-founder of Cascade Health, an intelligent platform for healthcare transparency. With a strong background as a Senior Software Engineer at Microsoft, she brings extensive expertise in building large-scale cloud systems that leverage machine learning for intelligent, data-driven decision-making, optimizing processes, and driving efficiency. Ana-Maria's passion lies in creating mission-driven technologies that have a profound impact on human lives. She firmly believes in the potential of AI to transform the healthcare industry, optimize healthcare costs, and truly bring transparency to every day healthcare decision making. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. #ai #ml #healthcare #TEDx https://lnkd.in/geJA3_YT

How will AI help your Healthcare

AI is transforming healthcare! but... there’s a lot of fear and misinformation out there. While some media headlines sensationalize the idea that "AI is replacing doctors," the reality is far more nuanced. The truth is, AI is revolutionizing the healthcare industry in numerous beneficial ways. - AI in healthcare is projected to grow by 37% annually - 20% of healthcare institutions worldwide are already integrating some form of AI into their operations. However, only 27% of patients currently feel comfortable with AI making clinical decisions. One potential solution? Explainable AI. By making AI's decision-making processes transparent, we can help both healthcare professionals and patients understand and trust these advanced systems. So why is AI adoption in healthcare lagging compared to other industries? Here are some key factors: Trust Issues: Patients and healthcare providers need more convincing about the reliability and safety of AI. Regulatory Hurdles: Healthcare is a highly regulated field, and integrating new technologies can be slow and complex. Cost: Implementing AI solutions can be expensive, and not all institutions have the necessary resources. Technical Challenges: Developing AI systems that can handle the complexities of human health is incredibly challenging. What do you think is holding back AI in healthcare, and how can we address these challenges? Let’s discuss in the comments below!