公开(公告)号：US20230011521A1

公开(公告)日：2023-01-12

申请号：US17855958

申请日：2022-07-01

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Syamanthaka Balakrishnan ,  David Paul Noren ,  Gregory Boverman ,  Vishnu Raj ,  Lasith Adhikari ,  Eran Simhon

IPC: G06N3/02 ,  G06N20/00

Abstract: A method for performing a demand analysis for a hospital, including: (i) receiving hospital capacity information; (ii) receiving hospital data, the hospital data comprising information on patient admissions, patient discharges, and patient transfers for a previous period of time for each of a plurality of patient types; (iii) adapting parameters of a machine learning algorithm based on the hospital data; (iv) receiving clinical information about patients currently admitted in the hospital; and (v) determining, based on output from the adapted machine learning algorithm and using the current clinical information and the hospital capacity information, a predicted patient flow for the hospital in real-time. The method further includes displaying, to at least one user in real-time, the predicted patient flow for the ward and at least one suggested rearrangement of resources within the hospital.