PREVENTIVE AND PREDICTIVE HEALTH PLATFORM

• US 20180137247A1
• Filed: 11/16/2017
• Published: 05/17/2018
• Est. Priority Date: 11/16/2016
• Status: Abandoned Application

• Current Assignee: Milliman Incorporated
• Original Assignee: Healthio Inc.
• Inventors: Bore, Sigvard, Mohan, Sanjay
• Application Number:
  US15/815,352
• Publication Number:
  US 20180137247A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/0004 characterised by the type of physiological signal transmitted
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/7465 Arrangements for interactive communication between patient and care services, e.g. by using a telephone network telemetry of measured physiological signal A61B5/0002
• CPC Class Codes: G06Q 50/22 Social work or social welfare, e.g. community support activities or counselling services
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 10/65 stored on portable record carriers, e.g. on smartcards, RFID tags or CD
• CPC Class Codes: G16H 20/00 ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 80/00 ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A preventive and predictive healthcare platform is provided. This preventive and predictive healthcare platform includes a computer server connected to an electronic communication network. The server has a democratized data store that is owned by the platform user and acts as the single repository of all health information for the platform user (vital signs, medication, wellness profiles, etc.). This data store may be enabled on mobile devices such as smart phones and tablet computers. The server is configured to send and receive healthcare data to healthcare data providers, to process the healthcare data, and to transmit at least some of the healthcare data to one or more users. The preventive and predictive healthcare platform also has an artificial intelligence engine that includes a machine-based learning algorithm which provides a predictive and preventative care model for a platform user.

Claims

1. A mobile healthcare management platform comprising:

a computer server connected to an electronic communication network, the server having stored thereon a mobile healthcare application, the server being configured to download the mobile healthcare application to one or more mobile electronic devices of a platform user and of members in a support network for the platform user, wherein the server can access medical records for the platform user;

one or more sensors for gathering health data from the platform user, the one or more sensors configured to wirelessly transmit the health data to the mobile healthcare application on at least one of the one or more mobile electronic devices;

wherein the server is configured to receive and process the health data from the mobile electronic device of the platform user, the server being further configured to use the health data to update the medical records of the platform user, and configured to determine, based on the medical records and health data of the platform user, a level of risk to the health of the platform user;

wherein the server is configured to automatically provide an alert, via the one or more mobile electronic devices, when the level of risk to the health of the platform user is above a predetermined threshold.

2. The mobile healthcare management platform of claim 1, wherein the server includes an artificial intelligence engine that includes a machine-based learning algorithm that provides a predictive and preventative care model individualized for the platform user.

3. The mobile healthcare management platform of claim 2, wherein the artificial intelligence engine is configured to analyze medical histories of multiple third parties and applies lessons learned from that analysis to assess the risk to the health of the platform user.

4. The mobile healthcare management platform of claim 3, wherein the artificial intelligence engine is configured to evaluate an efficacy of a medical treatment provided to the platform user.

5. The mobile healthcare management platform of claim 3, wherein the artificial intelligence engine is configured to generate a recommendation for an individualized medication dose for the platform user.

6. The mobile healthcare management platform of claim 3, wherein the medical histories of the platform user and of multiple third parties are stored in a database on the server.

7. The mobile healthcare management platform of claim 6, wherein the medical histories of the platform user and of multiple third parties are anonymized in the database.

8. The mobile healthcare management platform of claim 3, wherein the artificial intelligence engine is configured to determine the level of risk based on an analysis of the medical records of the platform user and of multiple third parties.

9. The mobile healthcare management platform of claim 8, wherein the artificial intelligence engine is configured to update the level of risk as the medical records are updated.

10. The mobile healthcare management platform of claim 8, wherein the artificial intelligence engine is configured to facilitate medical specialist intervention based on the level of risk and an analysis of the medical records of the platform user and of multiple third parties.

11. The mobile healthcare management platform of claim 8, wherein the artificial intelligence engine is configured to automatically determine the predetermined threshold based on an analysis of the medical records of the platform user and of multiple third parties.

12. The mobile healthcare management platform of claim 11, wherein the artificial intelligence engine is configured to update the predetermined threshold as the medical records are updated.

13. The mobile healthcare management platform of claim 2, wherein the artificial intelligence engine is configured to determine an acceptable range of results for the health data gathered by the one or more sensors, and wherein the server automatically transmits an alert to the mobile electronic devices of the platform user and support network when the health data is outside of the acceptable range.

14. The mobile healthcare management platform of claim 2, wherein the artificial intelligence engine is configured to generate a predictive outcome for a specified course of treatment undertaken by the platform.

15. The mobile healthcare management platform of claim 2, wherein the artificial intelligence engine is configured to automatically provide educational messages and recommendations to platform users based on the individual needs of the platform user.

16. The mobile healthcare management platform of claim 2, wherein the artificial intelligence engine is configured to automatically provide real-time on-demand video medical consultation for the platform user.

17. The mobile healthcare management platform of claim 2, wherein the artificial intelligence engine comprises at least one of a data collection, capturing, and completion layer, a data storage and retrieval layer, a data aggregation and enrichment layer, a data mining and classification layer, and an information delivery layer.

18. The mobile healthcare management platform of claim 1, wherein the one or more sensors comprise one of a blood pressure monitor, an oxygen saturation pulse oximeter, a spirometer, a thermometer, an activity tracker, a weight scale, an electrocardiograph (ECG), and a glucometer.

19. The mobile healthcare management platform of claim 1, wherein the one or more sensors communicate wirelessly with the one or more mobile electronic devices using the Bluetooth Low Energy protocol.

20. The mobile healthcare management platform of claim 1, wherein the mobile healthcare application is configured to accept medical data input manually into the one or more mobile electronic devices.

21. The mobile healthcare management platform of claim 20, wherein the mobile healthcare application is configured to transmit the manually input medical data to the server which updates the medical records of the platform user with the manually input medical data.

22. The mobile healthcare management platform of claim 1, wherein the server is configured to aggregate and store medical records from one or more of healthcare provider networks, medical testing labs, insurance companies, healthcare affiliates, pharmacies, and pharmacy benefit managers.

23. The mobile healthcare management platform of claim 1, wherein the one or more mobile electronic devices comprise one of a smartphone, a smartwatch, a tablet computer, a notebook computer, a laptop computer, and a personal digital assistant.

24. The mobile healthcare management platform of claim 1, wherein the server is configured to automatically provide the alert to one or more of the platform user, members of the support network, and a medical care provider.

25. The mobile healthcare management platform of claim 1, wherein the mobile healthcare application is configured to allow the platform user to add or remove members to the support network.

26. The mobile healthcare management platform of claim 1, wherein the server provides a web portal for medical care providers and medical experts to communicate with the platform user.

27. The mobile healthcare management platform of claim 1, wherein the server includes an encrypted database for storage of personal information of the platform user.

28. The mobile healthcare management platform of claim 27, wherein the encrypted database is a SOX2/3 secured cloud database.