Facing frequent reductions in resources and staffing, combined with the increasing needs of their patient population, infusion centers must grow their patient volumes despite limitations and make the best use of what they do have.
However, scheduling challenges quickly arise as the schedule fills in advance, becoming a barrier to clinic growth and patient access. Marrying economic theory with AI-based technology can eliminate this barrier, supporting organizational growth and also a better patient experience.
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