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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
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.
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公开(公告)号：US20240371503A1
公开(公告)日：2024-11-07
申请号：US18654666
申请日：2024-05-03
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Ting Feng , Robert Damiano , Seyed Morteza Miran , Arad Lajevardi-Khosh
Abstract: Systems and methods for infection treatment evaluation is provided. The system receives patient encounter records including patient attribute data and patient LoS data. The system generates, via an LoS estimation model, LoS estimations based on the patient attribute data of each of the patient encounter records. The patient attribute data includes vital sign data, patient demographic data, laboratory data, medical condition data, infection type data, medication administration data, and/or discharge type. The system further generates, via a metric analyzer, evaluation metrics based on the LoS estimations and the patient LoS data of each of the patient encounter records. The system may also include a user interface configured to display at least a portion of the one or more evaluation metrics. The system may also train the LoS estimation model with a historical encounter records. Each of the historical encounter records includes historical attribute data and historical recovery data.
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公开(公告)号：US20210134405A1
公开(公告)日：2021-05-06
申请号：US17070959
申请日：2020-10-15
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Ting Feng , Bryan Conroy , David Paul Noren , Daniel Craig McFarlane , Shreyas Ravindranath , Emma Holdrich Schwager
IPC: G16H10/40 , G16B25/10 , G16H10/60 , C12Q1/6888
Abstract: A system for diagnosing pathogenic infection of a person, the system comprising a processor configured for: receiving a trigger comprising data indicative of a possible pathogenic infection; determining, using a risk classifier and medical information about the patient, a risk score for the patient comprising a likelihood that one or more body systems is infected; determining, using a likelihood classifier and the medical information, a likelihood score for the patient comprising an identification of one or more pathogens or pathogen categories that could be causing an infection; determining a relevance score using a relevance classifier and the determined risk and likelihood scores, the relevance score comprising one or more clinical tests relevant to confirming or rejecting the possible pathogenic infection of the person; and reporting, via a user interface, the determined relevance score.
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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
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.
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