3 AI projects that didn’t scale at health systems

Despite significant investment in AI by health systems, not all initiatives have succeeded in scaling up. Three notable projects faced challenges, with one major issue being vendors that underestimated the IT workload needed for implementation. These failures highlight the need for better alignment between AI solutions and the technical capabilities of health systems' IT departments. Understanding these pitfalls is crucial for future AI projects to avoid similar missteps and ensure better integration into healthcare operations.