AUTOMATED CONDITION SCREENING AND DETECTION

• US 20190298270A1
• Filed: 06/14/2019
• Published: 10/03/2019
• Est. Priority Date: 01/04/2012
• Status: Active Grant

• Current Assignee: Masimo Corporation
• Original Assignee: Masimo Corporation
• Inventors: Al-Ali, Ammar, Muhsin, Bilal, Ahmed, Omar, Wafeeq, Jad Adel
• Granted Patent: US 11,172,890 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 2503/04 Babies, e.g. for SIDS detection
• CPC Class Codes: A61B 2562/08 Sensors provided with means for identification, e.g. barcodes or memory chips
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/02028 Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
• 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 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0295 using plethysmography, i.e. measuring the variations in the volume of a body part as modified by the circulation of blood therethrough, e.g. impedance plethysmography
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/14552 Details of sensors specially adapted therefor
• CPC Class Codes: A61B 5/6825 Hand
• CPC Class Codes: A61B 5/6829 Foot or ankle
• CPC Class Codes: A61B 5/684 Indicating the position of the sensor on the body
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence
• 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: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• 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 40/67 : for remote operation

Abstract

Embodiments are disclosed that enable an electronic device to instruct as user how to user one or more noninvasive sensors to measure one or more physiological parameters of a patient. In one embodiment, the measured parameters are used to obtain a diagnosis, such as a diagnosis of a critical congenital heart defect.

Claims

1. A system for noninvasively measuring a physiological parameter of a patient to facilitate a diagnosis, the system comprising:

an electronic device comprising a display, a wireless transceiver, a memory device comprising processor-executable instruction stored thereon, and a hardware processor in communication with the display, wireless transceiver, and the memory;

the hardware processor programmed to execute the processor-executable instructions stored in the memory so as to;

display, on the display, a request for at least one patient ID associated with a patient;

receive an input including the at least one patient ID;

validate the at least on patient ID using one or more validations rules;

provide, on the display, instructions for obtaining a critical congenital heart defect (CCHD) screening of the patient;

determine CCHD screening information; and

transmit the CCHD screening information in association with the at least one patient ID to a gateway computing device.

2. The system of claim 1, wherein the hardware processor is programmed to execute the processor-executable instructions stored in the memory so as to further:

display, on the display, instructions to obtain a first measurement by positioning a first noninvasive sensor at a first measurement site on a patient;

receive, from the noninvasive sensor, first signals responsive to a first physiological characteristic of the patient;

calculate a first measured physiological parameter responsive to the first signals;

display, on the display, instructions to obtain a second measurement by positioning a second noninvasive sensor at a second measurement site on the patient;

receive, from the second noninvasive sensor, second signals responsive to a second physiological characteristic of the patient;

calculate a second measured physiological parameter of the patient responsive to the second signals; and

display, on the display, the first and second measured physiological parameters.

3. The system of claim 1, wherein the validation rules are configurable.

4. The system of claim 3, wherein the hardware processor is programmed to execute the processor-executable instructions stored in the memory so as to further:

in response to determining that the at least one patient ID is not valid based on the validation rules, provide a notification to a user.

5. The system of claim 4, wherein the hardware processor is programmed to execute the processor-executable instructions stored in the memory so as to further:

allow the user to bypass the notification.

6. The system of claim 1, wherein the gateway computing device is configured to transmit the CCHD screening information in association with the at least one patient ID to a data aggregator computing device.

7. The system of claim 6, wherein the gateway computing device is further configured provide communications among a plurality of patient devices and the data aggregator computing device.

8. The system of claim 7, wherein the hardware processor is programmed to execute the processor-executable instructions stored in the memory so as to further:

in response to receiving, from the gateway computing device, a message indicating a need to re-screen a patient for CCHD, display a notification.

9. The system of claim 8, wherein message is received via the data aggregator computing device, and wherein at least one of the gateway computing device or the data aggregator computing device determines the message is to be provided to the system.

10. The system of claim 7, wherein the data aggregator computing device is configured to de-duplicate patient data received from the gateway computing device.

11. The system of claim 10, wherein the data aggregator computing device is configured to transmit the CCHD screening information in association with the at least one patient ID to an electronic medical record (EMR) system or other database system.

12. The system of claim 11, wherein the data aggregator computing device is further configured to aggregate patient data from a plurality of gateway computing devices.

13. A computer-implemented method for noninvasively measuring a physiological parameter of a patient to facilitate a diagnosis, the method comprising:

by one or more processors executing program instructions;

displaying, on a display, a request for at least one patient ID associated with a patient;

receiving an input including the at least one patient ID;

validating the at least on patient ID using one or more validations rules;

providing, on the display, instructions for obtaining a critical congenital heart defect (CCHD) screening of the patient;

determining CCHD screening information; and

transmitting the CCHD screening information in association with the at least one patient ID to a gateway computing device.

14. The computer-implemented method of claim 13 further comprising:

by the one or more processors executing program instructions;

displaying, on the display, instructions to obtain a first measurement by positioning a first noninvasive sensor at a first measurement site on a patient;

receiving, from the noninvasive sensor, first signals responsive to a first physiological characteristic of the patient;

calculating a first measured physiological parameter responsive to the first signals;

displaying, on the display, instructions to obtain a second measurement by positioning a second noninvasive sensor at a second measurement site on the patient;

receiving, from the second noninvasive sensor, second signals responsive to a second physiological characteristic of the patient;

calculating a second measured physiological parameter of the patient responsive to the second signals; and

displaying, on the display, the first and second measured physiological parameters.

15. The computer-implemented method of claim 13, wherein the validation rules are configurable.

16. The computer-implemented method of claim 15 further comprising:

by the one or more processors executing program instructions;

in response to determining that the at least one patient ID is not valid based on the validation rules, providing a notification to a user.

17. The computer-implemented method of claim 16 further comprising:

by the one or more processors executing program instructions;

allowing the user to bypass the notification.

18. The computer-implemented method of claim 13, wherein the gateway computing device is configured to transmit the CCHD screening information in association with the at least one patient ID to a data aggregator computing device.

19. The computer-implemented method of claim 18, wherein the gateway computing device is further configured provide communications among a plurality of patient devices and the data aggregator computing device.

20. The computer-implemented method of claim 19 further comprising:

by the one or more processors executing program instructions;

in response to receiving, from the gateway computing device, a message indicating a need to re-screen a patient for CCHD, displaying a notification.

21. The computer-implemented method of claim 20, wherein message is received via the data aggregator computing device, and wherein at least one of the gateway computing device or the data aggregator computing device determines the message is to be provided to the system.

22. The computer-implemented method of claim 19, wherein the data aggregator computing device is configured to de-duplicate patient data received from the gateway computing device.

23. The computer-implemented method of claim 22, wherein the data aggregator computing device is configured to transmit the CCHD screening information in association with the at least one patient ID to an electronic medical record (EMR) system or other database system.

24. The computer-implemented method of claim 23, wherein the data aggregator computing device is further configured to aggregate patient data from a plurality of gateway computing devices.