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Case study: How NY-Presbyterian has found success in not rushing to implement AI
Into 2025 and beyond, a strategic, responsible and intentional approach to enterprise AI adoption is critical for long-term success on meaningful projects.
With a background that spans circuit engineering at IBM, risk management at Citi and practicing cardiology, Dr. Beecy brings a unique blend of technical acumen and clinical expertise to her role. “AI can help streamline repetitive tasks, improve decision-making and reduce errors,” she notes, but efficiency should not come at the expense of the human element, especially in decisions with significant impact on users’ lives. For example, in developing a predictive model for postpartum depression– a life threatening condition that affects one in seven mothers, her team found that including sensitive demographic attributes like race led to fairer outcomes.
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