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...

Full description

Saved in:
Bibliographic Details
Main Authors Balakrishnan, Syamanthaka, Boverman, Gregory, Kulkarni, Chaitanya, Noren, David Paul, Adhikari, Lasith, Simhon, Eran
Format Patent
LanguageEnglish
Published 12.01.2023
Subjects
Online AccessGet full text

Cover

Loading…
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; (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.
AbstractList 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.
Author Kulkarni, Chaitanya
Adhikari, Lasith
Noren, David Paul
Boverman, Gregory
Balakrishnan, Syamanthaka
Simhon, Eran
Author_xml – fullname: Balakrishnan, Syamanthaka
– fullname: Boverman, Gregory
– fullname: Kulkarni, Chaitanya
– fullname: Noren, David Paul
– fullname: Adhikari, Lasith
– fullname: Simhon, Eran
BookMark eNrjYmDJy89L5WRwC44MDnH1VXD0c1HwdQ3x8HdRcPMPUnB0cQwI8QxzVfBxdQzy8_RzB4t6-AcHeIY4-ig4u_oFhwYrBHv6hvo4hnj6-_EwsKYl5hSn8kJpbgZlN9cQZw_d1IL8-NTigsTk1LzUkvjQYCMDI2MDAwtLYzNHQ2PiVAEAjdcvIA
ContentType Patent
DBID EVB
DatabaseName esp@cenet
DatabaseTitleList
Database_xml – sequence: 1
  dbid: EVB
  name: esp@cenet
  url: http://worldwide.espacenet.com/singleLineSearch?locale=en_EP
  sourceTypes: Open Access Repository
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Chemistry
Sciences
Physics
ExternalDocumentID US2023008936A1
GroupedDBID EVB
ID FETCH-epo_espacenet_US2023008936A13
IEDL.DBID EVB
IngestDate Fri Jul 19 12:47:54 EDT 2024
IsOpenAccess true
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-epo_espacenet_US2023008936A13
Notes Application Number: US202217856024
OpenAccessLink https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230112&DB=EPODOC&CC=US&NR=2023008936A1
ParticipantIDs epo_espacenet_US2023008936A1
PublicationCentury 2000
PublicationDate 20230112
PublicationDateYYYYMMDD 2023-01-12
PublicationDate_xml – month: 01
  year: 2023
  text: 20230112
  day: 12
PublicationDecade 2020
PublicationYear 2023
RelatedCompanies KONINKLIJKE PHILIPS N.V
RelatedCompanies_xml – name: KONINKLIJKE PHILIPS N.V
Score 3.439585
Snippet A method for performing a demand analysis for a hospital, including: (i) receiving hospital capacity information; (ii) receiving hospital data, the hospital...
SourceID epo
SourceType Open Access Repository
SubjectTerms HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
Title SYSTEM AND METHOD FOR ADAPTIVE LEARNING FOR HOSPITAL CENSUS SIMULATION
URI https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230112&DB=EPODOC&locale=&CC=US&NR=2023008936A1
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3dS8MwED_G_HzTqUydElD6VlzbtGsfhnT9sJX1g6Ud82m0WweCdMNV_Pe9xk33tMfcQUiOXH75XS4XgEfZkBe6Xhgi8mlDpHOJigYCvUhVXetptKvoWU0Ug1DzUvo6UScN-Ni-heF1Qr95cUT0qBn6e8X369V_EMvmuZXrp_wdRctnN-nbwoYdy_VylQV70HfiyI4swbL6KRPC0a-ui-CsmciVDvAg3eO0bTyo36WsdkHFPYPDGPsrq3NoFGULTqzt32stOA42V94tOOI5mrM1Cjd-uL4Al72xxAmIGdokcBIvsgmyOWLaZpz4Y4cMHXMU-uELl3oRi_3EHBLLCVnKCPODdMhDU5fw4DqJ5Yk4tOmfJaYp252HcgXNclkWbSCykcmLXFJyqmVUyboZOnIhKXSOANRTc_UaOvt6utmvvoXTullHHiS5A83q86u4Qyyu8ntuwh9zboQq
link.rule.ids 230,309,783,888,25577,76883
linkProvider European Patent Office
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3dS8MwED_G_JhvOhU_pgaUvhXXNu3ahyFdP2y1XyzpmE-j3ToQpBuu4r9vGjfd017v4EiOXH75XXIXgAfZkOe6Xhgi49OGiGcSFg0G9CJWda2n4a6iZzVRDCPNS_HLWB034GNTC8P7hH7z5ogsoqYs3iu-Xy__k1g2f1u5eszfmWjx5NK-LazZsVwvV1mwB30nie3YEiyrnxIhGv7qugycNZNxpT12yNY5WRoN6rqU5TaouMewnzB7ZXUCjaJsQ8va_L3WhsNwfeXdhgP-RnO6YsJ1HK5OwSVvhDohMiMbhQ71YhsxNodM20yoP3JQ4JjDyI-eudSLSeJTM0CWE5GUIOKHacBTU2dw7zrU8kQ2tMmfJyYp2Z6Hcg7NclEWF4BkI5PnuaTkWMuwknUzFsiFpOAZA6CemquX0Nll6Wq3-g5aHg2DSeBHr9dwVKvqLIQkd6BZfX4VNwyXq_yWu_MHzuSHGg
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Apatent&rft.title=SYSTEM+AND+METHOD+FOR+ADAPTIVE+LEARNING+FOR+HOSPITAL+CENSUS+SIMULATION&rft.inventor=Balakrishnan%2C+Syamanthaka&rft.inventor=Boverman%2C+Gregory&rft.inventor=Kulkarni%2C+Chaitanya&rft.inventor=Noren%2C+David+Paul&rft.inventor=Adhikari%2C+Lasith&rft.inventor=Simhon%2C+Eran&rft.date=2023-01-12&rft.externalDBID=A1&rft.externalDocID=US2023008936A1