A personal diabetes equipment management system can include at least one diabetes treatment device adapted for use with one or more disposable diabetes devices; a remote server system including an inventory database identifying operational diabetes treatment devices and operational disposable diabetes devices in the possession of a user; and a controller in communication with (i) the at least one diabetes treatment device over a first network connection and (ii) the remote server system over a second network connection, the controller adapted to automatically detect use of the at least one diabetes treatment device and determine an operational condition for the diabetes treatment device or the one or more disposable diabetes treatment devices based on information received from the at least one diabetes treatment device over the first network connection, the controller transmitting update information to the remote server system over the second network connection to update the inventory database.

A personal diabetes equipment management system can include at least one diabetes treatment device adapted for use with one or more disposable diabetes devices; a remote server system including an inventory database identifying operational diabetes treatment devices and operational disposable diabetes devices in the possession of a user; and a controller in communication with (i) the at least one diabetes treatment device over a first network connection and (ii) the remote server system over a second network connection, the controller adapted to automatically detect use of the at least one diabetes treatment device and determine an operational condition for the diabetes treatment device or the one or more disposable diabetes treatment devices based on information received from the at least one diabetes treatment device over the first network connection, the controller transmitting update information to the remote server system over the second network connection to update the inventory database.

A method for adjusting the operation of a surgical instrument using machine learning in a surgical suite is disclosed. The method comprises the steps of gathering data during surgical procedures, wherein the surgical procedures include the use of a surgical instrument, analyzing the gathered data to determine an appropriate operational adjustment of the surgical instrument, and adjusting the operation of the surgical instrument to improve the operation of the surgical instrument.

A method for adjusting the operation of a surgical instrument using machine learning in a surgical suite is disclosed. The method comprises the steps of gathering data during surgical procedures, wherein the surgical procedures include the use of a surgical instrument, analyzing the gathered data to determine an appropriate operational adjustment of the surgical instrument, and adjusting the operation of the surgical instrument to improve the operation of the surgical instrument.

A method for providing an intelligent schedule board for operating rooms in surgical centers and hospitals is provided. The method comprises displaying an estimated location of a patient on an operating room schedule board and displaying status information on the operating room schedule board. The method also comprises automatically updating the schedule dashboard as at least one of the location and the status of the patient changes. Patient location is estimated using an indoor tracking system and wherein the system is an RTLS system. Patient status information is entered by staff members by means of at least one of a tablet device, a phone device, and a computer. Patient status information is entered automatically by means of a computer vision scheme that detects patient status comprising at least one of a start of surgery and an end of surgery. Patient status information is entered using a voice recognition scheme.

A method for providing an intelligent schedule board for operating rooms in surgical centers and hospitals is provided. The method comprises displaying an estimated location of a patient on an operating room schedule board and displaying status information on the operating room schedule board. The method also comprises automatically updating the schedule dashboard as at least one of the location and the status of the patient changes. Patient location is estimated using an indoor tracking system and wherein the system is an RTLS system. Patient status information is entered by staff members by means of at least one of a tablet device, a phone device, and a computer. Patient status information is entered automatically by means of a computer vision scheme that detects patient status comprising at least one of a start of surgery and an end of surgery. Patient status information is entered using a voice recognition scheme.

A computer-implemented method of performing planning processing, the method including: acquiring information of a menu of a predetermined service and information of a stakeholder related to the service; calculating a change frequency of execution of the menu for a combination of the stakeholder and the menu; specifying a menu to be recommended on the basis of the calculated change frequency; and outputting the specified menu to the stakeholder of the calculated combination.

Systems and methods are disclosed herein for updating an application controlling an ambulatory medical device such that application updates can be identified, downloaded and installed without interrupting therapy provided by the ambulatory medical device to a subject. The ambulatory medical device may receive an indication that an update to an application executing on the ambulatory insulin pump is available, establish a communication connection to a host computing system configured to host the application update, and download the application update. The disclosed systems and methods can determine an execution time of an installation and install the downloaded application update without interrupting therapy provided by the ambulatory medical device to the subject.

Systems and methods are disclosed herein for switching control of an ambulatory medical device from an application executing on the ambulatory medical device to a safe version or a new version of the application without interrupting therapy provided by the ambulatory medical device to a subject. The ambulatory medical device can maintain copies of a safe version and a new version of the application. The disclosed systems and methods can execute the new version, while the prior version of the application continues to execute, determine whether a minimum set of operating conditions are satisfied by the new version, and switch control of the ambulatory medical device from the prior version to the new version. The systems and methods can also automatically revert to the safe version of the application case the current version is malfunctioning without interrupting therapy provided to the subject.

An apparatus and method involve not just comparing a patient's recovery but improving predications by grouping the patient into a phenotype to trend the patient's rate of progress compared to existing phenotype clusters to predict, based on a comparison of rate of progress of decline, and assess in order to benefit in the improvement of allocation and timing of future resource needs, including the economic impact.