SYSTEMS AND METHODS FOR MAPPING PATIENT DATA FROM MOBILE DEVICES FOR TREATMENT ASSISTANCE

• US 20140297642A1
• Filed: 03/20/2014
• Published: 10/02/2014
• Est. Priority Date: 02/10/2009
• Status: Abandoned Application

• Current Assignee: Ayasdi Al LLC
• Original Assignee: Ayasdi, Inc. (Fortive Corp.)
• Inventors: Lum, Pek Yee, Herman, Damir
• Application Number:
  US14/221,141
• Publication Number:
  US 20140297642A1
• Time in Patent Office: Days
• US Class Current: 707/737
• CPC Class Codes: G06F 16/287 Visualization; Browsing
• CPC Class Codes: G06F 16/90328 using search space presentation or visualization, e.g. category or range presentation and selection
• CPC Class Codes: G16B 40/00 ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
• CPC Class Codes: G16B 40/30 Unsupervised data analysis
• CPC Class Codes: G16B 45/00 ICT specially adapted for bioinformatics-related data visualisation, e.g. displaying of maps or networks
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

In various embodiments, a system comprises a map and a patient data assessment module. The map includes a plurality of groupings and interconnections of the groupings, each grouping having one or more patient members that share biological similarities, each interconnection interconnecting groupings that share at least one common patient member, the map identifying a set of groupings and a set of interconnections having a medical characteristic of a set of medical characteristics. The patient data assessment module may be configured to receive sensor data from a user'"'"'s mobile device and to assess the sensor data to generate user medical attributes, to determine whether the user shares the biological similarities with the one or more patient members of each grouping based, at least in part, on the user medical attributes, thereby enabling association of the user with one or more of the set of medical characteristics.

Claims

1. A system comprising:

a map including a plurality of groupings and interconnections of the groupings, each grouping having one or more patient members that share biological similarities, each interconnection interconnecting groupings that share at least one common patient member, the map identifying a set of groupings and a set of interconnections having a medical characteristic of a set of medical characteristics; and

a patient data assessment module configured to receive sensor data from a user'"'"'s mobile device and to assess the sensor data to generate user medical attributes, to determine whether the user shares the biological similarities with the one or more patient members of each grouping based, at least in part, on the user medical attributes, thereby enabling association of the user with one or more of the set of medical characteristics.

2. The system of claim 1 wherein the biological similarities represent similarities of measurements of sensor data of mobile devices associated with the one or more patient members.

3. The system of claim 2 wherein the sensor data comprises accelerometer sensor data.

4. The system of claim 1 wherein the map is generated by an analysis system configured to receive sensor data associated with the one or more patient members, apply a filtering function to generate a reference space, generate a cover of the reference space based on a resolution, the cover including cover data associated with the filtered sensor data, and cluster the cover data based on a metric.

5. The system of claim 4, wherein the filtering function is a density estimation function.

6. The system of claim 4 wherein the metric is a Pearson correlation.

7. The system of claim 1 wherein the patient data assessment module configured to determine whether the user shares the biological similarities with the one or more patient members of each grouping comprises the patient data assessment module configured to determine a distance between biological data of a subset of patient members and sensor data of the user, compare distances between a representative patient member of the subset of patient members and the distances determined for the user, and determine a location of the user relative to at least one of the patient members.

8. The system of claim 1 wherein the map is not displayed.

9. The system of claim 1, further comprising a trigger module configured to retrieve a trigger profile based on a condition classification, to determine if the user medical attributes satisfies trigger conditions of a trigger associated with the trigger profile, and to provide an alert based on the determination.

10. The system of claim 1 wherein the medical characteristic comprises a clinical outcome.

18. The system of claim 1, further comprising retrieving a trigger profile based on a condition classification, determining if the user medical attributes satisfies trigger conditions of a trigger associated with the trigger profile, and providing an alert based on the determination.

11. A method comprising:

receiving sensor data from a user'"'"'s mobile device;

assessing the sensor data to generate user medical attributes of a user;

determining distances between biological data of patient members of map and medical attributes from the user, the map including a plurality of groupings and interconnections of the groupings, each grouping having one or more of the patient members that share biological similarities, each interconnection interconnecting groupings that share at least one common patient member, the map identifying a set of groupings and a set of interconnections having a medical characteristic of a set of medical characteristics;

comparing distances between the one or more patient members and the distances determined for the user; and

determining a location of the user relative to the member patients of the map based on the comparison, thereby enabling association of the new patient with one or more of the set of medical characteristics.

12. The method of claim 11 wherein the biological similarities represent similarities of sensor data of mobile devices associated with the one or more patient members.

13. The method of claim 11 wherein the sensor data comprises accelerometer sensor data.

14. The method of claim 11, further comprising:

receiving sensor data associated with the one or more patient members,

applying a filtering function to generate a reference space, generate a cover of the reference space based on a resolution, the cover including cover data associated with the filtered sensor data, and

clustering the cover data based on a metric.

15. The method of claim 14 wherein the filtering function is a density estimation function.

16. The method of claim 14 wherein the metric is a Pearson correlation.

17. The method of claim 14, further comprising comparing distances to one or more of the patient members closest to the user'"'"'s filtered sensor data with a diameter of at least one grouping and indicating that the user is associated with the grouping based on the comparison.

19. The method of claim 11 wherein the medical characteristic comprises a clinical outcome.

20. A non-transitory computer readable medium comprising instructions, the instructions being executable by a processor to perform a method, the method comprising:

receiving sensor data from a user'"'"'s mobile device;

assessing the sensor data to generate user medical attributes of a user;

determining distances between biological data of patient members of map and medical attributes from the user, the map including a plurality of groupings and interconnections of the groupings, each grouping having one or more of the patient members that share biological similarities, each interconnection interconnecting groupings that share at least one common patient member, the map identifying a set of groupings and a set of interconnections having a medical characteristic of a set of medical characteristics;

comparing distances between the one or more patient members and the distances determined for the user; and

determining a location of the user relative to the member patients of the map based on the comparison, thereby enabling association of the new patient with one or more of the set of medical characteristics.