03/27/2024 | News release | Distributed by Public on 03/28/2024 12:57
Governments around the globe are issuing rules and frameworks for responsible artificial intelligence (AI) development and deployment. In the U.S., the landmark Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence underscores the imperative to ensure the safety and security of AI systems, emphasizing the importance of building trust in these technologies. In the EU, the AI Act will be the first comprehensive AI law.
Fittingly, the U.S. executive order addresses key aspects relevant to federal government healthcare, advocating for the responsible integration of AI to enhance diagnostic capabilities, streamline administrative processes and improve patient outcomes. It emphasizes the need for federal healthcare agencies to prioritize patient privacy and data security in the adoption of AI, promoting a secure and ethical approach to leveraging artificial intelligence in the healthcare sector.
Across public and private sector healthcare, AI has emerged as a transformative force, promising to reshape the landscape of organizations and programs. While AI isn't new, the move to generative AI has created a paradigm shift from automation to creation. As CGI continues to explore the intersection of AI with health and social care-particularly with new GenAI advances-it is evident that while opportunities abound, we must navigate challenges to realize optimal benefits. (For more on this paradigm shift, I invite you to read my colleague Diane GutiwGutiw's, Embracing responsible AI in the move from automation to creation.)
I contend that the top AI opportunities that would most benefit health organizations are as follows:
Despite these opportunities, we must consider and account for these top challenges in any transformative solution:
As Teddy Roosevelt once said, "Nothing in this world is worth having or worth doing unless it means effort, pain, difficulty…." In weighing the opportunities and effort required to overcome the challenges inherent in implementing AI in healthcare processes, it's important to keep the following benefits in scope:
The integration of AI into healthcare presents a wealth of opportunities to enhance patient care, streamline operations and drive innovation. We've already experienced many of these enhancements to date and share some examples here: AI in healthcare. However, to unlock AI-driven benefits, organizations must address challenges related to data security, interoperability and ethical considerations. By navigating these challenges strategically, including integrating responsible AI into the design and implementation of AI solutions, healthcare can harness the full potential of AI to revolutionize healthcare delivery around the world.
Contact me to explore how our experts can help your organization realize the opportunities and manage the challenges of AI integration.
Steve Sousa is a health IT innovator and a leader of major IT modernization efforts who effects change across U. S. federal agencies.