Articles on Artificial Intelligence
The Impact of Artificial Intelligence in Health Care | AHA Trustee Services
Hardly a day goes by without at least one story in the news or on social media about artificial intelligence (AI). We are bombarded with topics both inspiring and terrifying. AI has become a buzz word, an overused and inappropriately cited cliché. But there is no doubt that this technology will radically change how we do things in the future, particularly in health care. In the face of all this publicity and hype, how can the trustee separate the wheat from the chaff? What is the role of the trustee in providing leadership and strategic guidance for the organization?
Taking a Wider Lens to Responsible AI in Health Care | AHA Trustee Services
The global state of artificial intelligence (AI) is hinting at reinvention, not just technology innovation. At the very same time, health care writ large finds itself in a moment of unprecedented strain, eager for a redeemer. This inertia — complicated by the fact that AI in health care is relatively unregulated — creates tremendous opportunity and risk. Enterprises are excited to experiment and transform, but they face serious risk of taking action without discipline or focus on measurable value.
Artificial Intelligence and the Trustee | AHA Trustee Services
Every new technology has the potential to cause change, typically in an unpredictable and disruptive manner. Over the next several years, AI is on course to drastically change the practice and operations of health care. How can hospitals embrace this new technology and manage these changes, and what is the role of the trustee in providing leadership and guidance during this transition?
Solving Health Care’s Gen AI Dilemma | AHA Trustee Services
Generative AI (gen AI) is revolutionizing the health care industry by dramatically reshaping traditional job functions and creating new opportunities for innovation and growth. It will do this in large part by automating routine tasks that consume a significant portion of the clinical workforce’s time, enhancing data analysis and enabling advanced problem-solving capabilities.
So why then are 83% of health care executives piloting gen AI in pre-production environments, but fewer than 10% are investing in the infrastructure necessary to support enterprise-wide deployment?