公开(公告)号：US20240212856A1

公开(公告)日：2024-06-27

申请号：US18536995

申请日：2023-12-12

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Joep van Berkel ,  Nathalie Magali Danielle Dessaud ,  Joyca Petre Wilma Lacroix ,  Chaitana Dongre

IPC: G16H50/30

CPC classification number: G16H50/30

Abstract: A method of providing all or portions of a care program for a patient includes receiving data regarding the patient from a number of sources. At least some of the data is then used in determining a virtual readiness profile for the patient. A number of care elements for the patient are then determined based on the patient's virtual readiness profile and then provided to the patient and/or a caregiver of the patient.

公开(公告)号：US20230197259A1

公开(公告)日：2023-06-22

申请号：US18077278

申请日：2022-12-08

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Nathalie Magali Danielle Dessaud ,  Martine Huygens

IPC: G16H40/20

CPC classification number: G16H40/20

Abstract: A mechanism for controlling or defining a decision guidance process. A decision guidance process guides a subject and/or caregiver (of the subject) through a decision making process in making a clinical or healthcare decision. The proposed mechanism makes use of motivation data to control the decision guidance process.

公开(公告)号：US20240211832A1

公开(公告)日：2024-06-27

申请号：US18544711

申请日：2023-12-19

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Nathalie Magali Danielle Dessaud ,  Joep van Berkel ,  Jan Tatousek ,  Chaitanya Dongre

IPC: G06Q10/0631 ,  G06Q10/0639 ,  G16H10/60 ,  G16H40/20

CPC classification number: G06Q10/063112 ,  G06Q10/06398 ,  G16H10/60 ,  G16H40/20

Abstract: The present disclosure is directed to systems and methods of establishing a patient care network that enables high-quality and safe involvement of selected caregivers in the care of patients receiving virtual or at-home care. As described herein, the methods comprise: identifying a first informal care recipient; identifying an informal caregiver candidate based on caregiver information; assigning the informal caregiver candidate to the first informal care recipient; evaluating a performance of the informal caregiver candidate; determining a certification classification/information for the informal caregiver candidate; and creating and/or storing a caregiver record of the informal caregiver candidate in an informal care database.

公开(公告)号：US12106858B2

公开(公告)日：2024-10-01

申请号：US17253459

申请日：2019-06-27

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Nathalie Magali Danielle Dessaud ,  Janneke Annegarn

IPC: G16H50/30 ,  A61B5/00 ,  A61B5/024 ,  A61B5/11 ,  G16H20/30 ,  G16H50/20

CPC classification number: G16H50/30 ,  A61B5/024 ,  A61B5/1117 ,  A61B5/7275 ,  G16H20/30 ,  G16H50/20

Abstract: Techniques are described herein for incorporating fall prevention into a personalized activity plan. In various embodiments, a baseline risk of fall for a user may be estimated (302) based on baseline sensor signal(s) (203, 205, 207). Based on a prediction model (215) (which may/may not be associated with the user) and the baseline risk of fall, respective risks of falls associated with various candidate activities may be predicted (304), and then candidate activities may be determined or selected (306) based on the predicted respective risks of falls. Output indicative of the determined candidate activities may be provided (308) to the user, who may provide input (310) identifying one or more of the determined candidate activities as an exercise conducted or to be conducted by the user. Based on the exercise sensor signal(s), a subsequent risk of fall for the user may be estimated (312) and used to update (314) the prediction model.

公开(公告)号：US20180008191A1

公开(公告)日：2018-01-11

申请号：US15547565

申请日：2016-01-29

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： John Cronin ,  Aki Sakari Harma ,  Nathalie Magali Danielle Dessaud

IPC: A61B5/00 ,  A61B5/11 ,  A61B5/021 ,  A61B5/01 ,  A61B5/024 ,  A61B5/08 ,  A61B5/0205

CPC classification number: G16H50/20 ,  A61B5/01 ,  A61B5/0205 ,  A61B5/021 ,  A61B5/024 ,  A61B5/0816 ,  A61B5/1112 ,  A61B5/1116 ,  A61B5/1118 ,  A61B5/4561 ,  A61B5/4803 ,  A61B5/4824 ,  A61B5/7267 ,  A61B5/746 ,  A61B5/7475 ,  G16H10/60 ,  G16H40/63

Abstract: A computer implemented method for providing pain management using a wearable device determines a predictive model estimating an intensity level of pain as a function of at least one physiological parameter of a user of the wearable device and at least one activity of the user. The activity of the user includes one or combination of a type of the activity, a level of the activity, a location of the activity, and a duration of the activity. The method determines measurements of physiological and activity sensors of the wearable device to produce values of the physiological parameter and the activity of the user and predicts the intensity level of the pain based on the predictive model and the values of the physiological parameter and the activity of the user. The method executes actions based on the predicted intensity level of pain.