System and method for tracking patient activity
A system and method for tracking the duration of patient time in a dentist chair may be provided. The system may include at least one sensor, at least one microcontroller, and at least one remote server. The sensor and microcontroller arrangement may detect the presence of a patient in the chair and may record the duration of the patient's presence and upload the data to the server. The system and method may further account for temporary patient departures from the chair by creating a time threshold, under which a visit duration calculation will not be reset. The system and method may record a total duration of a patient's time in the dentist chair.
1. A method for tracking healthcare appointment activity comprising:
continuously monitoring for presence instances on a dental chair by at least one sensor;
detecting a presence on the dental chair;
determining whether the presence exceeds a predetermined sensor threshold;
initiating a detection duration recording if the presence exceeds the predetermined sensor threshold;
detecting an exit of the presence;
calculating departure time;
determining whether a pre-set departure allowance threshold has been reached;
ending the detection duration recording if the departure allowance threshold is met; and
detecting a return of the presence on the dental chair and continuing a detection duration recording if the departure allowance threshold is not met and repeating until a pre-set departure allowance threshold has been reached; and
calculating a total appointment time based on the detection duration recording, wherein the total time is adjusted to include departure time for departures when the presence returns and the pre-set departure allowance has not been reached and to not include departure time for departures when the pre-set departure allowance is reached, wherein the departure time is time from the exit of the presence until the presence returns or the pre-set departure allowance has been reached.
2. The method of claim 1 , further comprising determining the presence is a person when the sensor threshold is exceeded.
3. The method of claim 1 , further comprising recording sensor values and time data for each event.
4. The method of claim 3 , further comprising generating a heat map using recorded event and time data.
5. The method of claim 1 , further comprising utilizing artificial intelligence to identify an undesired presence or event, wherein the artificial intelligence or machine learning unit identifies false readings by detecting a similar force is repeatedly applied at consistent intervals or is applied continuously for an extended period.
6. The method of claim 1 , further comprising simultaneously monitoring and recording dental chair occupancy data in real-time for multiple dental chairs.
7. The method of claim 6 , wherein at least two of the multiple dental chairs are in independently remote facilities.
8. The method of claim 1 , further comprising zeroing the at least one sensor value after installation, setting an ON-OFF threshold, and setting an OFF-ON threshold.
9. The method of claim 1 , further comprising continuing the detection duration recording despite force variation or when resistance is broken, so long as the sensor threshold is not broken.
10. A system for tracking activity comprising:
at least one sensor installed on a dental chair and configured to continuously detect the presence of an object or person on the dental chair;
a microcontroller; and
at least one database,
wherein the system records detection duration data,
wherein a departure allowance threshold counter and sensor threshold are pre-set to determine desired event data,
wherein a total appointment time is calculated based on the detection duration data, wherein the total appointment time includes departure time when departure time ends within the departure allowance threshold and wherein the total appointment time does not include departure time for departure instances when the departure allowance threshold is met.
11. The system of claim 10 , wherein the at least one sensor is a force sensing resistor and is disposed in a cushion of the dental chair or between the cushion and a dental chair frame.
12. The system of claim 10 , further comprising two or three sensors installed on the dental chair, wherein at least one of the sensors is a force sensing resistor disposed in a cushion of the dental chair or between the cushion and a dental chair frame.
13. The system of claim 10 , further comprising at least one sensor installed on two or more dental chairs and configured to continuously and simultaneously detect presence instances in real-time on the two or more dental chairs.
14. The system of claim 13 , wherein the two or more dental chairs are in at least two remote locations.
15. The system of claim 10 , further comprising a remote server.
16. The system of claim 10 , further comprising an artificial intelligence or machine learning unit to identify data or patterns indicating false readings, wherein the artificial intelligence or machine learning unit identifies false readings by detecting a similar force is repeatedly applied at consistent intervals or is applied continuously for an extended period.
17. The system of claim 10 , wherein the system continues to record detection duration data despite force variation or when resistance is broken, so long as the sensor threshold is not broken.