Text-based system speeds up hospital discharges to long-term care
ITHACA, N.Y. – Every day, millions of people are discharged after extended hospital stays, but matching these patients with appropriate care facilities can be arduous, often reliant on months-old, inaccurate data. Now, a text message-based, hybrid computer-human system that regularly updates both patients’ and care facilities’ availability statuses, developed by a Cornell doctoral student, is smoothing that time-consuming process. The system was tested at a hospital in Hawaii for 14 months, beginning in early 2022, and helped place nearly 50 patients in care facilities. In fact, the system worked so well, the hospital ...
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