Automated condition screening and detection
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.
1. A system for noninvasively measuring a physiological parameter of a user to facilitate a diagnosis, the system comprising:
an electronic device comprising a display, a wireless transceiver, a memory device comprising processor-executable instructions stored thereon, and one or more hardware processors in communication with the display, the wireless transceiver, and the memory device;
the one or more hardware processors programmed to execute the processor-executable instructions stored in the memory device to:
display, on the display, a request for at least one patient ID associated with a user;
receive an input including the at least one patient ID;
validate the at least one patient ID using one or more validation rules, wherein the one or more validation rules comprise at least one of: checking for correct checksum values, checking for certain digits being within allowable ranges, or checking for a correct format;
display, on the display, instructions to obtain a first measurement by positioning a first noninvasive sensor at a first measurement site on the user;
receive, from the first noninvasive sensor, first signals responsive to a first physiological characteristic of the user;
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 user;
receive, from the second noninvasive sensor, second signals responsive to a second physiological characteristic of the user;
calculate a second measured physiological parameter of the user responsive to the second signals;
display, on the display, the first and second measured physiological parameters;
transmit, via the wireless transceiver, at least the first and second measured physiological parameters, in association with the at least one patient ID, over a network to a clinician; and
initiate, with the wireless transceiver, a telemedicine session with the clinician over the network to obtain a diagnosis based on the first and second measured physiological parameters.
2. The system of claim 1 , wherein the first and second noninvasive sensors are the same noninvasive sensor.
3. The system of claim 1 , wherein the one or more hardware processors are programmed to execute the processor-executable instructions stored in the memory device to further:
in response to determining that the at least one patient ID is not valid:
provide a notification to the user; and
allow the user to bypass the notification and proceed with measurements despite determining that the at least one patient ID is not valid.
4. The system of claim 1 , wherein the first or second measured physiological parameters include at least one of: oxygen saturation, blood pressure, or temperature.
5. The system of claim 1 , wherein at least the first and second measured physiological parameters, are transmitted, in association with the at least one patient ID, to a data aggregator computing device.
6. The system of claim 5 , wherein the one or more hardware processors are programmed to execute the processor-executable instructions stored in the memory device to further:
in response to receiving a message indicating a need to re-screen a user, display a notification.
7. The system of claim 6 , wherein the message is received via the data aggregator computing device, and wherein the data aggregator computing device determines the message is to be provided to the system.
8. The system of claim 5 , wherein the data aggregator computing device is configured to de-duplicate patient data.
9. The system of claim 8 , wherein the data aggregator computing device is configured to transmit at least the first and second measured physiological parameters in association with the at least one patient ID to an electronic medical record (EMR) system or other database system.
10. The system of claim 9 , wherein the data aggregator computing device is further configured to aggregate patient data from a plurality of computing devices.
11. The system of claim 1 , wherein the one or more hardware processors are programmed to execute the processor-executable instructions stored in the memory device to further:
output a selection of clinicians, receive a selection of one of the clinicians from the user, and initiate a communication session with the clinician.
12. The system of claim 1 , wherein the telemedicine session comprises a video of the clinician.
13. The system of claim 1 , wherein the one or more hardware processors are programmed to execute the processor-executable instructions stored in the memory device to further:
instruct the user to perform at least one of the first measurement or the second measurement again due to low signal confidence in the at least one of the first measurement or the second measurement.
14. A computer-implemented method for noninvasively measuring a physiological parameter of a user to facilitate a diagnosis, the method comprising:
by one or more processors executing program instructions:
displaying, on display, a request for at least one patient ID associated with a user;
receiving an input including the at least one patient ID;
validating the at least one patient ID using one or more validation rules, wherein the one or more validation rules comprise at least one of: checking for correct checksum values, checking for certain digits being within allowable ranges, or checking for a correct format;
displaying, on the display, instructions to obtain a first measurement by positioning a first noninvasive sensor at a first measurement site on the user;
receiving, from the first noninvasive sensor, first signals responsive to a first physiological characteristic of the user;
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 user;
receiving, from the second noninvasive sensor, second signals responsive to a second physiological characteristic of the user;
calculating a second measured physiological parameter of the user responsive to the second signals;
displaying, on the display, the first and second measured physiological parameters;
transmitting, via a wireless transceiver, at least the first and second measured physiological parameters, in association with the at least one patient ID, over a network to a clinician; and
initiating, with the wireless transceiver, a telemedicine session with the clinician over the network to obtain a diagnosis based on the first and second measured physiological parameters.
15. The computer-implemented method of claim 14 , wherein the first and second noninvasive sensors are the same noninvasive sensor.
16. The computer-implemented method of claim 14 further comprising:
by the one or more processors executing program instructions:
in response to receiving a message indicating a need to re-screen a user, displaying a notification.
17. The computer-implemented method of claim 16 , wherein:
at least the first and second measured physiological parameters, are transmitted, in association with the at least one patient ID, to a data aggregator computing device,
the message is received via the data aggregator computing device, and
the data aggregator computing device determines the message is to be provided for display.
18. The computer-implemented method of claim 14 further comprising:
by the one or more processors executing program instructions:
outputting a selection of clinicians, receive a selection of one of the clinicians from the user, and initiate a communication session with the clinician.
19. The computer-implemented method of claim 14 , wherein the telemedicine session comprises a video of the clinician.
20. The computer-implemented method of claim 14 further comprising:
by the one or more processors executing program instructions:
instructing the user to perform at least one of the first measurement or the second measurement again due to low signal confidence in the at least one of the first measurement or the second measurement.