Mobile health device and method for determining patient territory as a digital biomarker while preserving patient privacy

• US 9,439,584 B1
• Filed: 11/30/2015
• Issued: 09/13/2016
• Est. Priority Date: 11/30/2015
• Status: Active Grant

• Current Assignee: Medidata Solutions Incorporated (Dassault Systemes SA)
• Original Assignee: Medidata Solutions Incorporated (Dassault Systemes SA)
• Inventors: Elashoff, Barbara, de Vries, Glen
• Primary Examiner(s): Tarcza, Thomas
• Assistant Examiner(s): Pipala, Edward J
• Application Number:
  US14/954,021
• Time in Patent Office: 288 Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: G06F 21/6245 Protecting personal data, e.g. for financial or medical purposes
• CPC Class Codes: G06F 2221/2111 Location-sensitive, e.g. geographical location, GPS
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

Devices and methods are disclosed for use and processing of patient geolocation data in order to objectively determine a patient'"'"'s territory as an artificially created digital biomarker while maintaining locational privacy. The objective determination of a patient'"'"'s territory, defined as the area traversed in a specific time interval, can be used as a measurement of quality of life, as well as socio-economic contribution and benefit. Devices and methods are also disclosed for creating an artificial Overall Territory Activity Digital Biomarker based on Patient Activity Factors in addition to the Patient Territory Digital Biomarker, and which Overall Territory Activity Digital Biomarker also maintains locational data privacy. Furthermore, devices and methods are disclosed for capturing and transmitting digital biospecimens, the transformed geolocation data used to determine the Patient Territory Digital Biomarker. The digital biospecimen data can be subsequently used to create alternative, data privacy-preserving determinations of Patient Territory Digital Biomarkers, Patient Activity Factors, and/or Overall Territory Activity Digital Biomarkers.

Claims

1. A mobile health device comprising:

a geolocation coordinate generator for generating geolocation data and corresponding time points, the geolocation data comprising at least latitude and longitude coordinates;

a mobile health-based application that receives the geolocation data and corresponding time points from the geolocation coordinate generator; and

a processor that uses vector-based calculations stored in the mobile health-based application to transform the geolocation data and corresponding time points into vectors corresponding to intervals between the corresponding received time points, wherein the vectors do not contain any geolocation data, and to determine a patient territory digital biomarker based upon the vectors.

2. The device of claim 1, wherein:

the patient territory digital biomarker and determined vectors are transmitted to a network-based application server comprising a network-based software application and a processor; and

the network-based processor calculates one or more patient activity factors based on the vectors and further calculates an overall territory activity digital biomarker based on the one or more patient activity factors and the patient territory digital biomarker.

3. A mobile health device comprising:

a geolocation coordinate generator for generating geolocation data and corresponding time points, the geolocation data comprising at least latitude and longitude coordinates;

a mobile health-based application that receives the geolocation data and corresponding time points from the geolocation coordinate generator; and

a processor that uses vector-based calculations stored in the mobile health-based application to transform the geolocation data and corresponding time points into vectors corresponding to intervals between the corresponding received time points, wherein the vectors do not contain any geolocation data, and to transmit the vectors to a network-based application server.

4. The device of claim 3, wherein the network-based application server comprises a network-based software application and a processor and wherein the application server receives the vectors, and the network processor determines a patient territory digital biomarker based on the vectors.

5. The device of claim 3, wherein the network-based application server comprises a network-based software application and a processor and wherein:

the network-based processor determines speeds corresponding to the calculated intervals based on the determined vectors;

the network-based processor further determines at least one starting point and one subsequent transition point based on the determined speeds;

the network-based processor further determines indications of assisted mobility for movement between the starting point and the subsequent transition point;

the network-based processor calculates one or more patient activity factors based on the vectors and the determined indications; and

the network-based processor calculates on overall territory activity digital biomarker based on the one or more patient activity factors and the patient territory digital biomarker.

6. A method comprising:

generating geolocation data and corresponding time points, wherein said geolocation data comprises at least latitude and longitude coordinates;

transforming, using a processor and vector-based calculations stored in a mobile health-based application, the geolocation data and corresponding time points into vectors corresponding to intervals between time points corresponding to said geolocation data, wherein the vectors do not contain any geolocation data; and

determining a patient territory digital biomarker based upon the vectors.

7. The method of claim 6, wherein the patient territory digital biomarker is determined by the processor and then is transmitted to a network-based application server.

8. The method of claim 7, further comprising:

transmitting the vectors to the network-based application server for storage;

calculating, using the processor, one or more patient activity factors based on the vectors;

calculating, using the processor, an overall territory activity digital biomarker based on the one or more patient activity factors and the patient territory digital biomarker; and

transmitting the overall territory activity digital biomarker to the network-based application server.

9. The method of claim 8, wherein said one or more patient activity factors comprise speed, overall distance and furthest point.

10. The method of claim 9, wherein said overall territory activity digital biomarker is further determined based on averages of said patient activity factors over grouped intervals.

11. The method of claim 6, wherein the vectors are transmitted to a network-based application server and the patient territory digital biomarker is determined by a processor of the network-based application server executing a network-based software application.

12. The method of claim 11, wherein:

the processor of the network-based application server;

calculates speeds corresponding to the intervals based on the determined vectors;

determines at least one starting point and one subsequent transition point based on the calculated speeds;

determines indications of assisted mobility for movement between the starting point and the subsequent transition point;

calculates one or more patient activity factors based on the vectors and the determined indications; and

calculates an overall territory activity digital biomarker based on the one or more patient activity factors and the patient territory digital biomarker; and

the overall territory activity digital biomarker is stored in the network-based application server.

13. The method of claim 12, wherein said one or more patient activity factors comprise speed, overall distance and furthest point.

14. The method of claim 13, wherein said overall territory activity digital biomarker is further determined based on averages of said patient activity factors over grouped intervals.

15. The method of claim 11, wherein:

the vectors are transmitted digital biospecimens; and

the processor of the network-based application server calculates a new patient territory digital biomarker based on the digital biospecimens, wherein the new calculation is based on a formula received from a user of said network-based software application.