HIT Consultant March 27, 2025
Care coordination in hospitals is fundamentally tied to resource availability. A patient cannot be admitted if there are no beds available, leading to diversions or prolonged wait times. Optimizing patient transitions is essential to maintaining efficiency and ensuring high-quality care.
However, patient discharge schedules are inherently fluid, involving multiple stakeholders and numerous unpredictable factors. Clinical setbacks, adverse effects such as infections or delirium, and post-discharge complications can significantly alter discharge timelines, extending hospital stays and increasing the likelihood of readmissions. When length of stay exceeds hospital goals and industry benchmarks such as Geometric Mean Length of Stay (GMLOS), capacity bottlenecks emerge, creating inefficiencies that hinder optimal patient flow.
The Role of AI in Enhancing Discharge Planning
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