Systems and methods for remotely-enabled identification of a user infection
Systems and methods for identifying a condition of a user. A treatment apparatus is configured to be manipulated by the user for performing an exercise, and an interface is communicably coupled to the treatment apparatus. One or more sensors are configured to sense one or more characteristics of an anatomical structure of the user. A processing device and a memory is communicatively coupled to the processing device. The memory includes computer readable instructions, that when executed by the processing device, cause the processing device to: receive, from the sensors, one or more sensor inputs representative of the one or more of characteristics of the anatomical structures; calculate an infection probability of a disease based on the one or more characteristics of the anatomical structures; and output, to the interface, a representation of the infection probability.
1. A system comprising:
a treatment apparatus configured to be manipulated by the user for performing an exercise;
an interface communicatively coupled to the treatment apparatus;
one or more sensors configured to sense one or more characteristics of an anatomical structure of the user; and
a processing device and a memory communicatively coupled to the processing device, and the memory includes computer readable instructions that, when executed by the processing device, cause the processing device to:
receive, from the sensors, one or more sensor inputs describing the one or more characteristics of the anatomical structure related to a current status of the user;
calculate an infection probability of a disease based on the one or more characteristics of the anatomical structure;
output for display, on the interface, a visual representation of the infection probability; and
output for display, on the interface, a recommendation for a treatment plan, the treatment plan comprising information related to the user's performance of the exercise via the treatment apparatus, the exercise corresponding to the disease.
2. The system of claim 1 , wherein the processing device is further configured to identify, one or more characteristics associated with the anatomical structure that is diseased.
3. The system of claim 2 , wherein the processing device is further configured to diagnose, based on the one or more characteristics, a presence of the disease and wherein the infection probability correlates with the probability of the disease being diagnosed by a medical professional.
4. The system of claim 3 , wherein the treatment plan is based on at least one of the infection probability and the diagnosis.
5. The system of claim 1 , wherein the interface is configured to present at least one of an image or an audible or tactile signal representative of the infection probability.
6. The system of claim 1 , wherein the processing device is further configured to:
selectively identify a threshold infection probability; and
selectively identify the infection probability being at least equal to the threshold infection probability.
7. The system of claim 6 , wherein the interface is associated with one or more of the treatment apparatus and a medical professional.
8. The system of claim 6 , wherein the processing device is further configured to output, to the interface, a recommendation for one or more of a medication and making an appoint to see a medical professional.
9. The system of claim 8 , wherein the visit comprises a telemedicine-enabled appointment, the telemedicine-enabled appointment characterized by the medical professional and the user not being in direct physical proximity to each other.
10. The system of claim 1 , wherein the disease is defined as an infection related to one of a surgical site or injury of the anatomical structure.
11. The system of claim 1 , wherein the processing device is further configured to:
receive, from the interface, one or more inputs; and
generate, based on one or more of the one or more inputs and the one or more sensor inputs, the infection probability.
12. The system of claim 11 , wherein the one or more inputs comprise one or more of an indication, associated with the user, of a pressure, a pain level, discoloration of a structure, and a mobility of a structure.
13. The system of claim 1 , wherein the one or more characteristics are defined as one or more etiological characteristics, and the processing device is further configured to generate the infection probability based on the one or more etiological characteristics.
14. The system of claim 13 , wherein the one or more etiological characteristics comprise at least one of a procedure or injury associated with the structure.
15. The system of claim 1 , wherein the one or more sensor inputs comprises one or more of temperature information, pressure information, discoloration information, image information, vital sign information, or measurement information.
16. The system of claim 1 , wherein the processing device is further configured to:
generate, from the one or more characteristics, a baseline characteristic and a disease characteristic; and
generate the infection probability based on the one or more characteristics, the baseline characteristic and the disease characteristic.
17. The system of claim 16 , wherein the baseline characteristic represents a state of the anatomical structure without the disease characteristics.
18. A method comprising:
receiving, from one or more sensors, one or more sensor inputs describing one or more characteristics of an anatomical structure of a user, the one or more characteristics corresponding to a current status of the user;
calculating an infection probability of a disease based on the one or more characteristics of the anatomical structure;
outputting for display, on an interface, a visual representation of the infection probability; and
outputting for display, on the interface, a recommendation for a treatment plan, the treatment plan comprising information related to the user's performance of an exercise via a treatment apparatus, the exercise corresponding to the disease.
19. The method of claim 18 , further comprising identifying one or more characteristics associated with a diseased anatomical structure.
20. The method of claim 19 , further comprising diagnosing, based on the one or more characteristics, a presence of a disease and wherein the infection probability correlates with the probability of the disease being diagnosed by a medical professional.
21. The method of claim 20 , wherein the treatment plan is based on at least one of the infection probability and the diagnosis.
22. The method of claim 18 , further comprising presenting, with the interface, at least one of an image and an audible or tactile signal representative of the infection probability.
23. The method of claim 18 , further comprising:
identifying a threshold infection probability;
identifying the infection probability being at least equal to the threshold infection probability; and
presenting, in the interface, the infection probability.
24. The method of claim 23 , further comprising presenting, in the interface, a recommendation for one or more of a medication and making an appointment to see a medical professional.
25. The method of claim 24 , wherein the visit comprises a telemedicine-enabled appointment, the telemedicine-enabled appointment defined by the medical professional and a user not being in direct physical proximity to each other.
26. The method of claim 18 , further comprising:
receiving, from the interface, one or more inputs; and
generating, based on one or more of the one or more inputs and the one or more sensor inputs, the infection probability.
27. A system comprising:
a treatment apparatus configured to be manipulated by the user for performing an exercise;
one or more sensors configured to sense one or more characteristics of an anatomical structure of the user; and
a processing device and a memory communicatively coupled to the processing device and the memory includes computer readable instructions that, when executed by the processing device, cause the processing device to:
receive, from the sensors, one or more sensor inputs describing the one or more characteristics of the anatomical structure related to a current status of the user;
generate, from the one or more characteristics, a baseline characteristic and a disease characteristic;
generate an infection probability of a disease based on the one or more characteristics, the baseline characteristic and the disease characteristic; and
generate, for display on a display associated with the processing device, a recommendation for a treatment plan, the treatment plan comprising information related to the user's performance of the exercise via the treatment apparatus, the exercise corresponding to the disease.
28. The system of claim 27 , further comprising an interface communicatively coupled to the treatment apparatus, and wherein the processing device is further configured to:
receive, from the interface, one or more inputs; and
generate the infection probability based on one or more of the one or more inputs and the one or more sensor inputs.
29. The system of claim 27 , further comprising an interface communicatively coupled to the treatment apparatus, and wherein the processing device is further configured to:
selectively identify a threshold infection probability;
selectively identify the infection probability being at least equal to the threshold infection probability; and
output, to the interface, a representation of the infection probability when the infection probability is at least equal to the threshold infection probability.
30. The system of claim 27 , wherein the processing device is further configured to:
identify one or more diseased characteristics associated with an anatomical structure;
identify, based on the one or more diseased characteristics, the infection probability; and
diagnose, based on the one or more diseased characteristics, a presence of a disease of the anatomical structure.