公开(公告)号：US20230200745A1

公开(公告)日：2023-06-29

申请号：US18080862

申请日：2022-12-14

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： IOANNA SOKORELI ,  NICOLAAS GREGORIUS PETRUS DEN TEULING ,  ANGELA GRASSI ,  CLAIRE YUNZHU ZHAO

IPC: A61B5/00 ,  G16H50/30 ,  G16H10/20 ,  A61B7/00 ,  A61B5/0205

CPC classification number: A61B5/7275 ,  G16H50/30 ,  G16H10/20 ,  A61B7/003 ,  A61B5/0205 ,  A61M16/0003

Abstract: The present invention relates to a method for screening cardiac conditions of a patient, the method comprising the following steps: calculating (S1) a cardiac risk value based on therapy sensor data by means of a first level of a multi-level procedure, wherein the therapy sensor data is provided from a first data source as sensor data during a therapy of the patient; and



refining (S2) the calculated cardiac risk value based on survey data and/or device data by means of a second level of a multi-level procedure to provide a refined cardiac risk value, wherein the survey data and/or the device data is provided from a second data source by incremental data gathering.

公开(公告)号：US20240112814A1

公开(公告)日：2024-04-04

申请号：US18374143

申请日：2023-09-28

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： NICOLAAS GREGORIUS PETRUS DEN TEULING ,  ANGELA GRASSI ,  IOANNA SOKORELI ,  CLAIRE YUNZHU ZHAO

IPC: G16H50/30 ,  G06N20/00 ,  G16H10/60 ,  G16H20/30 ,  G16H40/67

CPC classification number: G16H50/30 ,  G06N20/00 ,  G16H10/60 ,  G16H20/30 ,  G16H40/67

Abstract: According to an aspect, there is provided a computer-implemented method (100) for assessing a subject's adherence to a treatment for a condition, the method comprising receiving (102) adherence data indicative of the subject's past adherence to the treatment; receiving (104) medical data indicative of physiological details and a medical history of the subject; determining (106), based on the received adherence data, a non-adherence risk score indicative of a likelihood that the subject will not adhere to the treatment within a defined time period in the future; determining (108), based on the medical data, an adverse event risk score indicative of a likelihood that the subject will experience an adverse medical event; determining (110), based on the non-adherence risk score and the adverse event risk score, a priority classification to be assigned to the subject; and generating (122), based on the priority classification, an instruction signal to be delivered to a recipient

公开(公告)号：US20240194355A1

公开(公告)日：2024-06-13

申请号：US18532032

申请日：2023-12-07

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： STEFFEN CLARENCE PAUWS ,  CHRISTOPH TOBIAS WIRTH ,  IOANNA SOKORELI

IPC: G16H50/70 ,  G16H10/60 ,  G16H15/00 ,  G16H40/40 ,  G16H40/67 ,  G16H50/20 ,  G16H50/30

CPC classification number: G16H50/70 ,  G16H10/60 ,  G16H15/00 ,  G16H40/40 ,  G16H40/67 ,  G16H50/20 ,  G16H50/30

Abstract: A screening system (100) including a controller (120, 190, 194) to: query data sources (142, 144, 146, 148, 150, 152) to extract medical status information (MSI) of a patient cohort; form patient cohort data (PCD) comprising records of the extracted MSI of the patients; exclude records that are disqualified according to exclusion rules (ERS), and update the PCD accordingly; determine risk factors that are present for each record in accordance with a comparison of the MSI for corresponding records with risk factors for obstructive sleep apnea (OSA); determine a total risk score for each in accordance with a total of the determined risk factors present; determine a predicted probability of OSA based upon the determined total risk score for each of the records; assign each to a risk category in accordance with risk thresholds applied to the predicted probability of OSA; and determine a follow-up procedure for each in accordance with the assigned risk category for the records.