Artificial Intelligence (AI) and Intelligent Automation (IA) have become essential tools for health systems seeking to improve efficiency and reduce costs while meeting the increasingly high expectations of patients. From clinical operations to administrative functions, AI is revolutionizing how healthcare organizations operate.
But what does this actually look like in practice? Many health systems are starting to implement generative AI in their administrative functions, with a focus on improving administrative efficiency. Grant support, denial and appeal management in the revenue cycle, and connecting insights from customer satisfaction and employee engagement data are just a few examples of how AI is being leveraged to streamline processes and drive efficiencies.
While the potential of AI is vast, its current applications are more tactical and practical. Organizations are starting small, focusing on specific use cases that can deliver immediate value. To get started with AI implementation, consider these six steps:
1. Identify problems that can generate value and where success can be measured.
2. Involve the right people as stakeholders early on, including those with a passion for AI and technical expertise.
3. Choose the right model and customize it to fit the complexity of the data.
4. Shape the reference and training data to support the model.
5. Iterate and invest in continuous improvement.
6. Monitor progress, back successful initiatives, and prepare for full-scale implementation.
In the next decade, AI will be a critical component of healthcare operations. Organizations that embrace AI, establish strong data foundations, and prioritize outcomes and people will have a competitive advantage. By focusing on results, building trust, and scaling thoughtfully, health systems can create more efficient, resilient, and patient-centered care delivery systems.
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