Data analytics system

• US 8,721,543 B2
• Filed: 01/12/2012
• Issued: 05/13/2014
• Est. Priority Date: 01/12/2011
• Status: Expired due to Fees

• Current Assignee: Arsham Andy Saffarian
• Original Assignee: Arsham Andy Saffarian
• Inventors: Saffarian, Arsham Andy
• Primary Examiner(s): Thomson, Bill
• Assistant Examiner(s): SORIANO, BOBBY GILES
• Application Number:
  US13/348,805
• Publication Number:
  US 20120179012A1
• Time in Patent Office: 852 Days
• Field of Search: 600300-301
• US Class Current: 600/301
• CPC Class Codes: A61B 10/0012 Ovulation-period determination for animals A61D17/002
• CPC Class Codes: A61B 2010/0019 based on measurement of temperature
• 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 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/7232 involving compression of the physiological signal, e.g. to extend the signal recording period
• CPC Class Codes: G16H 20/13 delivered from dispensers
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

The invention includes a system and processes to gather and analyze data to monitor, track, and provide care. The major subsystems of the invention include the Medical Digital Assistant (“MDA”), Server, Monitoring Devices, Dispensing Devices, Server, Dashboard, and Application Software. The invention includes the method for conducting data acquisition, monitoring, analysis, and reporting to diagnose and treat medical conditions such as diagnosing and treating specific medical conditions such as fertility and congestive heart failure.

Claims

1. A method comprising:

using a monitoring device to acquire data from a patient;

using a dispensing device to perform actions on a patient;

transmitting data from the monitoring device or dispensing device to a medical digital assistant;

using the medical digital assistant to coordinate data retrieval, storage, communication, processing, analysis, and reporting;

performing actions on the patient based on the data analysis results using the monitoring device or dispensing devices controlled or configured by the medical digital assistant; and

wherein the data monitored includes monitoring blood pressure with a blood pressure monitoring device at least three times per day, monitoring activity level continuously throughout the day with a pedometer, monitoring oxygen levels for at least three minutes a day with an oximeter, monitoring weight once every day with a scale, monitoring EKG continuously every day with a remote EKG sensor, and monitoring the time, effectiveness, and side effects of medication.

2. A method according to claim 1, wherein the patient is a human child or adult.

3. A method according to claim 1, wherein the patient is a non-human animal.

4. A method according to claim 1, wherein the actions by the medical digital assistant include asking the patient different questions based on previous responses.

5. A method according to claim 1, wherein the actions by the medical digital assistant include changing the setup, configuration, or selected monitoring or dispensing devices.

6. A method according to claim 1, wherein the actions include sending alarms to medical personnel.

7. A method according to claim 1, wherein the actions include requests to alter the patient'"'"'s treatment comprising at least one of resetting or reconfiguring the patient'"'"'s dispensing devices, changing medications or dosage levels, issuing lab request, requesting appointments or telephone calls, requesting intervention and review from other personnel, or setting thresholds for various data parameters.

8. A method according to claim 1, wherein the data monitored includes the basal body temperature and sleep duration of a female patient to detect an accurate ovulation duration.

9. A method according to claim 1, wherein the data monitored is critical for detecting chronic disease symptoms comprising least one of cholesterol levels, blood pressure, calories, physical activity, and alcohol levels.

10. A method according to claim 9, wherein the chronic diseases include heart failure, diabetes, hypertension, and chronic obstructive pulmonary disorders.

11. The method according to claim 1, wherein the method is remotely managed and updated remotely.

12. The method according to claim 1, wherein the analysis is performed locally by the medical digital assistant instead of transmitting and analyzing data on the server.

13. The method according to claim 1, wherein the requests to the monitoring and dispensing devices to perform actions on the patient are input by the patient, medical personnel, or other authorized users.

14. The method according to claim 1, wherein the requests to the monitoring and dispensing devices to perform actions on the patient are based on pre-programmed situations.

15. The method according to claim 14, wherein the pre-programmed situation is detecting signs of an impending acute medical emergency.

16. The method according to claim 14, wherein the automatic action is a request for emergency medical personnel.