Abstract

This research-in-progress paper reframes the adoption of artificial intelligence (AI) within the healthcare IT domain as an information systems project management challenge. Building on a systematic literature review of AI barriers and enablers, we conceptualize AI barriers as project risks and AI enablers as project success factors. The approach extends established IS/IT risk and success frameworks (e.g., PMI PMBOK, ISO 31000, Pinto & Slevin, Shenhar et al.) into the context of AI-enabled digital health initiatives. Preliminary findings suggest governance, data quality, and stakeholder readiness emerge as key risks, while leadership support, agile methods, and regulatory alignment serve as success factors. A preliminary framework table illustrates these linkages. Six examples of potential benefits for more successful AI health implementation projects from research focus are included as examples. Ongoing work will empirically validate this model with healthcare project managers. This reframing provides both a theoretical bridge between health informatics adoption and IT project management and practical insights for managing AI implementation outcomes.

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