公开(公告)号：US11925474B2

公开(公告)日：2024-03-12

申请号：US16919154

申请日：2020-07-02

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Claire Yunzhu Zhao ,  Bryan Conroy ,  Mohammad Shahed Sorower ,  David Paul Noren ,  Kailash Swaminathan ,  Chaitanya Kulkarni ,  Ting Feng ,  Kristen Tgavalekos ,  Emma Holdrich Schwager ,  Erina Ghosh ,  Vinod Kumar ,  Vikram Shivanna ,  Srinivas Hariharan ,  Daniel Craig McFarlane

IPC: A61B5/00 ,  G16H10/60 ,  G16H50/20 ,  G16H50/30 ,  G16H50/50 ,  G16H50/70

CPC classification number: A61B5/4842 ,  A61B5/7225 ,  A61B5/742 ,  G16H10/60 ,  G16H50/20 ,  G16H50/30 ,  G16H50/50 ,  G16H50/70

Abstract: The present disclosure is directed to systems and methods for developing an individual-specific patient baseline for a target patient. An exemplary method involves: determining one or more acuity scores for the target patient; identifying patient health data corresponding to one or more low acuity time periods; storing retrospective clinical data from a group of patients in a second database; comparing the patient health data corresponding to the one or more low acuity time periods with retrospective clinical data from a group of patients by identifying one or more patient subgroups; determining the individual-specific patient baseline using an adaptive baseline selection algorithm, wherein the adaptive baseline selection algorithm is used to determine whether to determine the individual-specific patient baseline using patient health data or using retrospective clinical data from one or more patient subgroups; and displaying, using a user interface, the individual-specific patient baseline.

公开(公告)号：US20230011880A1

公开(公告)日：2023-01-12

申请号：US17856058

申请日：2022-07-01

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Lasith Adhikari ,  David Paul Noren ,  Gregory Boverman ,  Eran Simhon ,  Chaitanya Kulkarni ,  Syamanthaka Balakrishnan ,  Vikram Shivanna ,  Larry James Eshelman ,  Kailash Swaminathan

IPC: G16H10/60 ,  G16H50/20 ,  G16H50/70

Abstract: A method for performing, using a patient disposition system, a disposition analysis of a plurality of patients to optimize a discharge planning process for each of the plurality of patients, including: (i) receiving electronic medical record information about each of the plurality of patients; (ii) identifying one of a plurality of different patient types for each of the plurality of patients based on the received electronic medical record information; (iii) selecting a trained multi-state model for each identified patient type; and (iv) determining, based on the selected trained multi-state model, a disposition state for each of the plurality of patients in real-time, wherein each disposition state includes a location to which the patient is to be discharged. The method further includes determining at least one service or assessment that can be deferred to the location to which the patient is to be discharged.

公开(公告)号：US20210052217A1

公开(公告)日：2021-02-25

申请号：US16919154

申请日：2020-07-02

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Claire Yunzhu Zhao ,  Bryan Conroy ,  Mohammad Shahed Sorower ,  David Paul Noren ,  Kailash Swaminathan ,  Chaitanya Kulkarni ,  Ting Feng ,  Kristen Tgavalekos ,  Emma Holdrich Schwager ,  Erina Ghosh ,  Vinod Kumar ,  Vikram Shivanna ,  Srinivas Hariharan ,  Daniel Craig McFarlane

IPC: A61B5/00 ,  G16H10/60 ,  G16H50/70 ,  G16H50/20 ,  G16H50/30 ,  G16H50/50

Abstract: The present disclosure is directed to systems and methods for developing an individual-specific patient baseline for a target patient. An exemplary method involves: determining one or more acuity scores for the target patient; identifying patient health data corresponding to one or more low acuity time periods; storing retrospective clinical data from a group of patients in a second database; comparing the patient health data corresponding to the one or more low acuity time periods with retrospective clinical data from a group of patients by identifying one or more patient subgroups; determining the individual-specific patient baseline using an adaptive baseline selection algorithm, wherein the adaptive baseline selection algorithm is used to determine whether to determine the individual-specific patient baseline using patient health data or using retrospective clinical data from one or more patient subgroups; and displaying, using a user interface, the individual-specific patient baseline.