公开(公告)号：US20200051698A1

公开(公告)日：2020-02-13

申请号：US16342452

申请日：2017-10-18

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Tak Ming Chan ,  Qin Zhu ,  Chun Qi Shi ,  Choo Chiap Chiau

IPC: G16H50/70 ,  G16H10/60 ,  G06F16/907 ,  G06F16/906

Abstract: An electronic clinical decision support (CDS) device executes (54) clinical decision rules (8) using a computer (10, 12) to generate predicted values of clinical conclusions (58) for a current patient based on values for the current patient of preconditions of the clinical decision rules (52). The rules are also executed (36) to generate predicted values of the clinical conclusions (38) for past patients based on values for the past patients of the preconditions (32) retrieved from an Electronic Medical Record (EMR) (20). Rule summary scores (42) are generated (40) based on comparisons of “ground truth” values of the clinical conclusions (34) for the past patients retrieved from the EMR with the predicted values of the clinical conclusions for the past patients. A display (14) shows the predicted values of the clinical conclusions and the corresponding applied rules for the current patient ranked at least in part by the rule summary scores.

公开(公告)号：US20170357946A1

公开(公告)日：2017-12-14

申请号：US14572984

申请日：2014-12-17

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Qin Zhu ,  Yihui Fan ,  Zuofeng Li ,  Richard Vdovjak

IPC: G06Q10/10 ,  G06Q50/22

CPC classification number: G06Q10/1095 ,  G06Q50/22

Abstract: Embodiments of the present invention relate to clinical knowledge driven healthcare scheduling. There is disclosed a method of healthcare scheduling, comprising receiving a request to generate an appointment for a target user, the request at least containing identification of the target user; obtaining clinical knowledge associated with the target user by accessing a knowledge base, the clinical knowledge at least indicating time constraints and at least one required resource for the appointment; generating a group of prioritized candidate appointments by processing the request at least partially based on the obtained clinical knowledge, each of the candidate appointments being represented at least by appointment time and a priority; and selecting at least one recommended appointment from the group of prioritized candidate appointments based on availability of the at least one required resource. Corresponding apparatus, system and computer program product are also disclosed.