Rapid expansion in healthcare systems requires recruitment models that are faster, more efficient, and scalable without compromising quality. Traditional nurse preselection processes, often manual and resource-intensive, struggle to meet growing workforce demands and lead to high rejection rates and increased costs.
This presentation explores a practical, real-world initiative to improve nurse recruitment at scale using artificial intelligence. It presents how AI-enabled preselection tools can streamline early candidate screening, enhance consistency, reduce time-to-hire, and improve the overall quality of shortlisted candidates.
Using a case from a large healthcare system in Saudi Arabia, the session highlights the business rationale, implementation approach, key risks, and measurable outcomes of adopting AI in recruitment. The presentation emphasizes how technology, when thoughtfully designed and aligned with organizational goals, can deliver efficiency, quality, and sustainable value for healthcare leadership and operations.
Speaker
Hoda Antoine Khachan, MSc, PMP
Moderator
Rana Abdel Malak, PhD, CPXP, CGNC, NEA-BC, FAAPM
Organizer: Healthcare
Date and time: February 12, 2026, 11:00am CET
Format: webinar
Duration: 1h
Number of CPDs: 1.5
Mode of delivery: online
Ticket price: Free

