AUTOMATED PERSONAL MEDICAL DIAGNOSTIC SYSTEM, METHOD, AND ARRANGEMENT

• US 20140257058A1
• Filed: 10/19/2012
• Published: 09/11/2014
• Est. Priority Date: 10/19/2011
• Status: Abandoned Application

• Current Assignee: Scanadu Incorporated
• Original Assignee: Scanadu Incorporated
• Inventors: Clarysse, Ivo, Chellam, Misha, Debrouwer, Walter, Smart, Anthony
• Application Number:
  US14/350,798
• Publication Number:
  US 20140257058A1
• Time in Patent Office: Days
• US Class Current: 600/301
• 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 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• 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

Abstract

An automated personal medical diagnostic system and arrangement, including: at least one sensor configured to measure and/or sense at least one physiological condition and generate or acquire sensor data; at least one computing device configured to process at least a portion of the sensor data and generate diagnostic data based at least partially on the sensor data; and at least one user interface configured for user interaction; wherein the diagnostic data at least partially comprises at least one of the following: indicator data, medical diagnostic data, trigger data, or any combination thereof. A method for automated medical diagnosis is also disclosed.

Claims

1. An automated personal medical diagnostic system, comprising:

at least one sensor configured to measure and/or sense at least one physiological condition and generate or acquire sensor data;

at least one computing device configured to process at least a portion of the sensor data and generate diagnostic data based at least partially on the sensor data; and

at least one user interface configured for user interaction;

wherein the diagnostic data at least partially comprises at least one of the following;

indicator data, medical diagnostic data, trigger data, or any combination thereof.

2. The automated personal medical diagnostic system of claim 1, wherein at least one computing device comprises at least one of the following:

a mobile wireless device, a smartphone, a mobile computing device, a wireless device, a hard-wired device, a network device, a docking device, a personal computer, a laptop computer, a pad computer, a personal digital assistant, a wearable device, a remote computing device, a server, a functional computing device, or any combination thereof.

3. The automated personal medical diagnostic system of claim 1, wherein the at least one sensor is at least one of the following:

a wireless sensor, a hard-wired sensor, a sensor device attached to a computing device, a sensor device integrated with a computing device, a sensor software module on a computing device, a sensor array, a controllable sensor, an analog sensor, a digital sensor, an embedded sensor, a pressure sensor, a light sensor, a visible light sensor, a far infrared sensor, a near infrared sensor, an image sensor, an ultraviolet light sensor, an acoustic sensor, a chemical sensor, a biological sensor, a biochemical sensor, an electrode, an electrical activity sensor, a magnetometer, or any combination thereof.

4. The automated personal medical diagnostic system of claim 1, wherein the at least one computing device is configured to receive input data from at least one remote data resource over at least one network.

5. The automated personal medical diagnostic system of claim 4, wherein the remote data resource comprises at least one medical database comprising medical and/or health record data.

6. The automated personal medical diagnostic system of claim 5, wherein the medical and/or health record data comprises at least one of the following:

a personal health record, an electronic health record, a preexisting medical measurement, laboratory results, magnetic resonance imaging scan data, visualization scan data, medical consultation data, preexisting sensor data, preexisting diagnostic data, biomedical data, or any combination thereof.

7. The automated personal medical diagnostic system of claim 1, wherein the diagnostic data is generated based at least partially on at least a portion of at least one of the following:

user data input, user interaction with the at least one computing device, user interaction with the at least one sensor, or any combination thereof.

8. The automated personal medical diagnostic system of claim 1, wherein the indicator data comprises at least one of the following:

medical indicator data, physiological parameter data, heart rate, facial expression data, protein data, body mass index, breathing rate, temperature, surface temperature, internal temperature, photoplethysmograph data, electrocardiogram data, pulse transit time, blood pressure, oxygen saturation data, pulse oximetry data, pain data, microfluidic data, acoustic data, imaging data, a microfluidic sensor, or any combination thereof.

9. The automated personal medical diagnostic system of claim 1, wherein the at least one sensor is at least one of the following:

a light intensity sensor, a heart rate sensor, an imaging sensor, a facial image sensor, a protein data sensor, a breathing rate sensor, a temperature sensor, photoplethysmograph data sensor, an electrocardiogram data sensor, a head-worn electrocardiogram data sensor, a chest-worn electrocardiogram sensor, a pulse transit time sensor, a blood pressure sensor, a oxygen saturation data sensor, a pulse oximetry data sensor, or any combination thereof.

10. The automated personal medical diagnostic system of claim 1, wherein the medical diagnostic data comprises at least one of the following:

a condition, a potential condition, an elimination of a potential condition, an analysis, a severity of a condition, a severity of a potential condition, a relevancy of a condition, a recommendation, medical data, health data, wellness data, or any combination thereof.

11. The automated personal medical diagnostic system of claim 10, wherein the recommendation comprises at least one of the following:

a recommendation for further analysis, a recommendation for further monitoring, a recommendation for medical consultation, a recommendation for tele-medical consultation, a recommendation for an in-person consultation, a recommendation for urgent care, a recommendation for emergency care, a recommendation for further assistance, a recommendation including further information, a recommendation including health data, a recommendation including wellness data, or any combination thereof.

12. The automated personal medical diagnostic system of claim 11, wherein the at least one recommendation is associated with at least one of the following:

an alarm, an audible alarm, a visual alarm, a tactile alarm, a message, an audible message, a visual message, a tactile message, an indicator that attracts a user'"'"'s attention, or any combination thereof.

13. The automated personal medical diagnostic system of claim 1, wherein the trigger data comprises at least one of the following:

a reference to a current measurement, a reference to medical diagnostic data, an initiation of a process for subsequent diagnosis, an initiation of a process for subsequent measurement, a request to at least one user for input, an actuator action, a request to interact with the at least one computing device, a request to interact with the at least one sensor, or any combination thereof.

14. The automated personal medical diagnostic system of claim 1, wherein at least a portion of at least one of the sensor data and the diagnostic data is transmitted to at least one remote data resource for inclusion in at least one medical and/or health record.

15. The automated personal medical diagnostic system of claim 1, further comprising a plurality of sensors, wherein the at least one computing device is configured to substantially simultaneously receive and/or process the sensor data from the plurality of sensors.

16. The automated personal medical diagnostic system of claim 1, wherein the at least one sensor is configured to substantially simultaneously measure and/or sense a plurality of physiological conditions.

17. The automated personal medical diagnostic system of claim 1, wherein the at least one user interface comprises a display for providing graphical information to at least user, wherein the graphical information is displayed dynamically, periodically, and/or on a predetermined or requested basis.

18. The automated personal medical diagnostic system of claim 17, wherein the graphical information represents at least a portion of at least one of the following:

the measured or sensed data, the diagnostic data, the indicator data, the medical diagnostic data, the trigger data, the sensor data, input data, remote data resource data, medical record data, health record data, a personal health record, an electronic health record, a preexisting medical measurement, laboratory results, magnetic resonance imaging scan data, visualization scan data, medical consultation data, preexisting sensor data, preexisting diagnostic data, biomedical data, user interaction data, medical indicator data, physiological parameter data, heart rate, facial expression data, protein data, body mass index, a condition, a potential condition, an elimination of a potential condition, an analysis, a severity of a condition, a severity of a potential condition, a relevancy of a condition, a recommendation, a recommendation for further analysis, a recommendation for further monitoring, a recommendation for medical consultation, a recommendation for tele-medical consultation, a recommendation for an in-person consultation, a recommendation for urgent care, a recommendation for emergency care, a recommendation for further assistance, a recommendation including further information, a recommendation including health data, a recommendation including wellness data, a reference to a current measurement, a reference to medical diagnostic data, an initiation of a process for subsequent diagnosis, an initiation of a process for subsequent measurement, a request to at least one user for input, an actuator action, a request to interact with the at least one computing device, a request to interact with the at least one sensor, alarm data, or any combination thereof.

19. The automated personal medical diagnostic system of claim 1, wherein the at least one sensor is configured for use during at least one of the following:

sedentary or non-sedentary activities, conscious or unconscious conditions, sleep states, mental states, or any combination thereof.

20. The automated personal medical diagnostic system of claim 1, wherein at least a portion of the diagnostic data is generated based upon at least a portion of the sensor data and at least a portion of input provided by at least one user.

21. The automated personal medical diagnostic system of claim 1, wherein the at least one sensor is a user-initiated or user-activated sensor.

22. The automated personal medical diagnostic system of claim 1, wherein at least a portion of at least one of the sensor data and the diagnostic data is associated with at least one of the following:

an alarm, an audible alarm, a visual alarm, a tactile alarm, a message, an audible message, a visual message, a tactile message, an indicator that attracts a user'"'"'s attention, or any combination thereof.

23. A method for automated medical diagnosis, comprising:

associating with at least one user at least one sensor configured to measure and/or sense at least one physiological condition and generate or acquire sensor data;

providing at least one computing device configured to process at least a portion of the sensor data and generate diagnostic data based at least partially on the sensor data; and

providing at least one user interface configured for user interaction;

wherein the diagnostic data at least partially comprises at least one of the following;

a condition, a potential condition, an elimination of a potential condition, an analysis, a severity of a condition, a severity of a potential condition, a relevancy of a condition, a recommendation, a recommendation for further analysis, a recommendation for further monitoring, a recommendation for medical consultation, a recommendation for tele-medical consultation, a recommendation for an in-person consultation, a recommendation for urgent care, a recommendation for emergency care, a recommendation for further assistance, a recommendation including further information, a recommendation including health data, a recommendation including wellness data, or any combination thereof.