SYSTEM AND METHOD FOR ADAPTIVE LEARNING FOR HOSPITAL CENSUS SIMULATION

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; (iii) adapting para...

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Bibliographic Details
Main Authors Balakrishnan, Syamanthaka, Boverman, Gregory, Kulkarni, Chaitanya, Noren, David Paul, Adhikari, Lasith, Simhon, Eran
Format Patent
LanguageEnglish
Published 12.01.2023
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Summary: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; (iii) adapting parameters of a machine learning algorithm based on the hospital data; (iv) receiving clinical information about patients currently admitted in the hospital; (v) determining, based on output from the adapted machine learning algorithm and clinical information about the patients currently admitted in the hospital and the hospital capacity information a predicted patient flow for the hospital in real-time; (vi) detecting a deviation between the predicted patient flow and at least one actual data point; and (vii) displaying to at least one user in real-time, the detected deviation for the hospital.
Bibliography:Application Number: US202217856024