公开(公告)号：US20180232490A1

公开(公告)日：2018-08-16

申请号：US15605675

申请日：2017-05-25

Applicant: Microsoft Technology Licensing, LLC

Inventor： Rouella J. Mendonca ,  Victor Vuong ,  Abhijeet Thacker

IPC: G06F19/00 ,  A61B5/021 ,  A61B5/11

CPC classification number: A61B5/021 ,  A61B5/1118 ,  G06F19/328 ,  G06F19/3418 ,  G06F19/3481 ,  G16H10/60 ,  G16H20/30 ,  G16H20/60 ,  G16H40/63 ,  G16H50/50 ,  G16H80/00

Abstract: In example embodiments, a machine receives a medical record of a patient. The machine receives, from devices associated with the patient, activity data and physiological data related to the patient. The machine normalizes the activity data and the physiological data. The machine determines adherence to one or more tasks in a treatment plan based on the medical record, the activity data, and the physiological data by comparing the medical record, the activity data or the physiological data with one or more threshold values, the one or more threshold values residing in a medical data repository or being provided from a computing device of a health professional. The machine selects, for provision to a health professional, a portion of the medical record, a portion of the activity data, and a portion of the physiological data based on a specification provided by the health professional and permission provided by the patient.

公开(公告)号：US20180232491A1

公开(公告)日：2018-08-16

申请号：US15605615

申请日：2017-05-25

Applicant: Microsoft Technology Licensing, LLC

Inventor： Abhijeet Thacker ,  Andrew M. Butler ,  Claire Wolf ,  Kevin James Eger ,  Krysta Yousoufian ,  Matthew G.R. Fraser ,  Michael Burford ,  Rouella J. Mendonca ,  Sarthak Datt ,  Victor Vuong ,  Yazan Al-Alul ,  Katherine W. Osborne ,  Wil Voss ,  Kay Hofmeester

IPC: G06F19/00

CPC classification number: A61B5/021 ,  A61B5/1118 ,  G06F19/328 ,  G06F19/3418 ,  G06F19/3481 ,  G16H10/60 ,  G16H20/30 ,  G16H20/60 ,  G16H40/63 ,  G16H50/50 ,  G16H80/00

Abstract: In example embodiments, a machine receives, from a computing device of a health professional, a treatment plan for a patient. The machine receives, from a plurality of devices associated with the patient, activity data related to the patient. The machine determines that the activity data is related to compliance with the treatment plan. The machine provides, in response to determining that the activity data is related to compliance with the treatment plan, the activity data to the computing device of the health professional.