公开(公告)号：US20230274821A1

公开(公告)日：2023-08-31

申请号：US18015988

申请日：2021-07-09

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Lucas OLIVEIRA ,  Jin LIU

IPC: G16H40/20 ,  G16H10/60 ,  G16H50/70

CPC classification number: G16H40/20 ,  G16H10/60 ,  G16H50/70

Abstract: A non-transitory computer readable medium (26) stores instructions executable by at least one electronic processor (20) to perform a patient wait time tracking method (100). The method includes: extracting clinical and operational features for respective patients of a queue of patients scheduled for examination; estimating patient-specific examination time durations (39) for medical examinations or procedures of the respective patients of the queue based on the extracted clinical and operational features of the respective patients of the queue; estimating a wait time (41) for a query patient of the patients of the queue based on the estimated examination time durations of patients ahead of the query patient in the queue; and transmitting the estimated wait time to a user interface (44) for presentation.

公开(公告)号：US20220101986A1

公开(公告)日：2022-03-31

申请号：US17298043

申请日：2019-12-11

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Jin LIU ,  Eran SIMHON ,  Reza SHARIFI SEDEH

IPC: G16H40/20 ,  G06Q10/06

Abstract: A method for scheduling patients for medical appointments, including: predicting the no-show risk and no-show cost for the patients; forecasting the cost of a transportation assistance service for the patients; optimizing the scheduling of patients based upon cost of the transportation assistance service, the no-show risk, and the no-show cost; selecting a population of patients to receive the transportation assistance service; and scheduling the population of patients for their medical appointment and transportation assistance service.

公开(公告)号：US20210125696A1

公开(公告)日：2021-04-29

申请号：US17254942

申请日：2019-06-26

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Jin LIU ,  Michael PROKLE

IPC: G16H20/10 ,  G06N20/00 ,  G16H80/00

Abstract: A personalized hypertension treatment optimization system, including: a patient treatment model configured to receive patient data and blood pressure measurements and to produce a treatment recommendation including a type of medicine and dosage, wherein the patient treatment module includes an initial treatment machine learning model and an adjustment treatment machine learning module; a physician user interface configured to receive the treatment recommendation, patient data, and blood pressure measurement and to produce a treatment decision including a type of medicine and dosage based upon a physician input; and a patient user interface configured to receive a treatment decision and to display the treatment decision.

公开(公告)号：US20220076584A1

公开(公告)日：2022-03-10

申请号：US17469990

申请日：2021-09-09

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Jin LIU ,  Puran Adesh BHAGAT

IPC: G09B5/02 ,  G16H40/20

Abstract: A method (100) of providing training content to medical professionals includes: retrieving (i) historical data related to staff performance of staff members of a medical facility and (ii) training data about past training received by the staff members; computing key performance indicators (KPIs) for the staff members using the retrieved historical data; estimating, using the retrieved historical data, a first improvement score for the KPIs that is predicted to result from consumption of a corresponding training content unit (30); estimating a second improvement score for the KPIs based on information related to requirements or goals for training the staff members; combining the first and second improvement scores to generate a combined score; and generating one or more recommended training content units based on the combined score and the retrieved training data.