Initial use cases of generative AI (genAI) in healthcare have primarily improved administrative tasks, filled gaps in IT, and increased clinical productivity. As capabilities of AI advance, its application in areas like patient engagement and enhancing quality of care is expected to grow. Leaders emphasize the critical need for effective governance and risk management to ensure safe AI implementation. Organizations that have successfully rolled out genAI applications are better positioned for large-scale success, contingent on a focused value-driven strategy and robust execution, as reported by McKinsey.
AI has improved administrative efficiency, closed IT gaps, and elevated clinical productivity. Future potential lies in enhancing patient engagement and quality of care.
Organizations with established genAI capabilities are witnessing successful large-scale implementations, but future achievements require a value-driven approach and robust management.
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