Predicting Alternative Level of Care (ALC) Patient Length of Stay & Service Need
The Challenge
Hospital congestion and prolonged patient stays remain persistent challenges across Canada’s healthcare system. Humber River Health and Deloitte are addressing these pressures by advancing iPlan, Humber’s discharge planning platform, with new AI-driven capabilities designed to transform patient flow management. The enhanced iPlan system uses machine learning algorithms to predict which patients are most at risk of becoming Alternate Level of Care (ALC), identify likely discharge destinations, and group patients with similar care needs to inform earlier planning discussions. By combining earlier risk identification with smarter, data-informed decision-making, care teams can plan discharges sooner and more effectively, reducing mismatches and delays and driving system-wide outcomes such as shorter patient stays, improved patient flow, and more efficient use of staff time. Beyond immediate operational benefits, this collaboration is building a scalable, AI-enabled approach to discharge planning that can be adapted across healthcare organizations. The project demonstrates how AI can be thoughtfully integrated into clinical workflows to support faster, more coordinated discharge decisions – advancing operational efficiency while maintaining high-quality, patient-centered care.
“Innovation in healthcare must deliver both efficiency and compassion, by embedding artificial intelligence into iPlan, we’re giving our teams the insight to anticipate patient needs and plan transitions with greater precision. This project will not only improve patient flow at Humber River Health but also contribute to a more connected, efficient, and sustainable healthcare system across Canada.”
– Beatrise Edelstein, Vice President, Post-Acute Care and Health Systems Partnerships, Humber River Health
Investment
$
1
M
Scale AI investment
$
1.6
M
Total investment
Partners
