Abstract: A system and method for providing compliance predictions for using a respiratory pressure therapy device in a treatment regimen is disclosed. The system includes a respiratory pressure therapy device having a transmitter and an air control device to provide respiratory therapy to a patient. The respiratory pressure therapy device collects operational data and transmits the collected operational data. Demographic data of the patient is collected. A predicted compliance with the treatment regimen is determined based on inputting operational data and demographic data to a machine learning compliance prediction model having a compliance prediction output. The machine learning model is trained from the operational data and demographic data of a population of patients using respiratory pressure therapy devices.

Abstract: One or more presence capable shared or non-shared client communication devices that are members of a communications group are connected to a communications network server that is capable of receiving presence information from any of the shared or non-shared client communication devices and publishing this presence information to other member of the group. The network server maintains publication instructions that are based upon a listing of the member in the group and only publishes presence information to shared and non-shared client communication devices that are members of the group. The network server also maintains permissions rules, created a primary user of a shared client communication device, that limits access by non-primary users to the shared client communication device who are member of the communications group and that controls how the presence information is displayed in a multi-level contact directory located at either a shared or non-shared client communication device.