⚖️ Health AI Lawsuits
Plus: Egg freezing & AI to revolutionize IVF | AI medical record startup uses humans for backup | Is your data AI-ready? | Mayfield launches new $250 million AI-specific seed fund
Welcome to Healthcare AI News, your weekly dose of the latest developments and headlines in the world of Healthcare AI.
In this issue, we explore:
✅ Headlines: Healthcare tops all industries in money lost in data breaches
✅ Industry: Cigna sued over algorithm allegedly used to deny claims
✅ Feature: Essential skills and knowledge for healthcare IT professionals
✅ Interesting Reads: AI appears more human on social media than humans
✅ Tech: How IT leaders are driving new revenue
✅ Venture Pipeline: Moderna & Pfizer CEO back $100M drug discovery project
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AWS launches healthcare-focused services, powered by generative AI (Read More)
Conversational AI and chronic pain management: What healthcare leaders should know (Read More)
Healthcare tops all industries when it comes to money lost in data breaches (Read More)
Egg freezing & AI to revolutionize IVF landscape say experts (Read More)
This ultra-small probe promises to record neuron activity without invasive surgery (Read More)
AI and machine learning hold potential in fighting infectious diseases (Read More)
AI heart scan aims to catch blockages years before symptoms (Read More)
This health AI startup aims to keep doctors up to date on the latest science (Read More)
Cigna sued over algorithm allegedly used to deny claims (Read More)
Blockbuster drugs for weight loss and diabetes cause stomach paralysis (Read More)
Google’s health chief urges caution on AI (Read More)
AI medical record startup riddled with errors uses humans for backup (Read More)
Biden administration pushing insurers to improve access to mental health treatment (Read More)
Probiotics vs Cognitive decline: Gut health key to aging brain fitness (Read More)
Another HIV patient possibly cured with stem cell transplant (Read More)
Thriving in the AI Age: Essential Skills and Knowledge for Healthcare IT Professionals
There are few places that you can go today without hearing about AI. From the glaring headlines about how AI is going to destroy humanity to Nvidia recently adding a stunning $200 billion in market cap due to AI, we’re in a world where AI is the technology that’s at the top of mind.
Perhaps more so than many other industries, healthcare professionals must closely pay attention to AI’s rise. The technology is rapidly advancing. New tools powered by AI are being released every day. Consequently, healthcare professionals—even if they aren’t technologists—are served well if they can develop some key AI skills and knowledge right now.
Essential Technical Skills
When we are talking about essential AI technical skills, we are mainly focused on three things.
The first is AI and machine learning. Granted, you don’t need to know all of the intricacies of creating your own large language model or how transformer models work. Nonetheless, having a basic understanding of AI concepts (like the different types of learning and neural networks) can help you understand how the technology is providing answers to queries. If you can even learn about the role of machine learning in healthcare insurance, even better.
Next, healthcare professionals should focus on data analysis and management. All AI applications are based on data and AI can help healthcare professionals like you learn the most from your company’s data. Already, there are plenty of tools that can help you understand and visualize your data, but it is helpful to understand what’s happening beneath the hood before using them.
From there, don’t ignore cybersecurity. In an AI-dominated landscape, bad actors will find even more opportunities to cause havoc. Ultimately, healthcare professionals need to be mindful of how cybercriminals can use AI tools to breach cyber defenses.
Essential Soft Skills
Along with the technical skills, you should think about learning some soft skills related to AI. They include:
Critical thinking: While critical thinking skills are important for every healthcare practitioner, they’re especially important when talking about AI. Healthcare professionals must closely consider AI-generated insights and recommendations—specifically limitations and ethical considerations.
Communication: As AI technology evolves, healthcare professionals will need to clearly communicate its value to all kinds of stakeholders. From the CEO to the newest hire, healthcare professionals must bridge the gap between the technical jargon they learned and how AI can create real value for both customers and colleagues.
Change management: As Booz Allen Hamilton argues, change management skills are critical as AI becomes integrated within healthcare organizations. Healthcare professionals not only ensure smooth adoption, but they must be available to address concerns or questions that their colleagues may have.
Knowledge Areas for Healthcare Professionals
These technical and soft skills are prerequisites for thriving in the AI age. However, to really capitalize on the AI boom, healthcare practitioners like you should focus on several specific knowledge areas.
For starters, let’s talk about health informatics. With health informatics becoming an increasingly important part of healthcare and health insurance, practitioners like you can leverage AI to provide better service to your clients. From relying on NLP algorithms to summarize patient records to predicting individual and population risks, AI can help your company reduce risk and provide better outcomes.
Next, healthcare practitioners should pay attention to healthcare regulations. AI technology is expanding at such a rapid clip that regulators are still behind. Essentially, being aware of relevant healthcare laws and how AI is (or is not) affecting compliance issues can help your company capitalize on AI developments with minimal litigation risk.
From there, there are questions about ethics. Some of the smartest people on the planet are thinking about how we can responsibly use AI in today’s world. But just because they are doesn’t mean that healthcare practitioners like you shouldn’t think about hard ethical questions when implementing AI in your organization. As noted by Harvard Business Review, consider things like potential discriminatory models and whether black box models are acceptable.
Continuing Your Education
Because this technology is so game-changing, all of us need to adopt a continuous learning mindset. The great news? There are plenty of resources that can help you get up to speed on AI. And if you are already familiar with some of these foundational AI concepts? Don’t hesitate to track some of the following sources for the latest AI news:
By staying informed and incorporating your insights into your daily work as a healthcare professional, you will be in a fantastic position to capitalize on this extremely exciting technology.
How IT leaders are driving new revenue (Read More)
How VoIP and IoT can work together to transform healthcare (Read More)
How can to make sure your data is clean, secure, and connected to get the most value from generative AI? (Read More)
How to use scrum with more productivity and less pain (Read More)
PRQL: a transformative, SQL-compatible language enhancing readability and functionality (Read More)
A SPECIAL MESSAGE FROM OUR PETS! 🐾
TWEET OF THE WEEK
🎉 German #robotics startup NeuraRobotics raises $55M! They're advancing #AI-powered cognitive robots, enhancing #automation in various industries.
👏 Their commitment to cobot development positions them at the vanguard of tech evolution.
— Healthcare AI Newsletter (@AIHealthnews)
Jul 26, 2023
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