The present disclosure describes various aspects of remote presence interfaces (RPIs) for use on portable electronic devices (PEDs) to interface with remote presence devices. An RPI may allow a user to interact with a telepresence device, view a live video feed, provide navigational instructions, and/or otherwise interact with the telepresence device. The RPI may allow a user to manually, semi-autonomously, or autonomously control the movement of the telepresence device. One or more panels associated with a video feed, patient data, calendars, date, time, telemetry data, PED data, telepresence device data, healthcare facility information, healthcare practitioner information, menu tabs, settings controls, and/or other features may be utilized via the RPI.

The present disclosure describes various aspects of remote presence interfaces (RPIs) for use on portable electronic devices (PEDs) to interface with remote presence devices. An RPI may allow a user to interact with a telepresence device, view a live video feed, provide navigational instructions, and/or otherwise interact with the telepresence device. The RPI may allow a user to manually, semi-autonomously, or autonomously control the movement of the telepresence device. One or more panels associated with a video feed, patient data, calendars, date, time, telemetry data, PED data, telepresence device data, healthcare facility information, healthcare practitioner information, menu tabs, settings controls, and/or other features may be utilized via the RPI.

A method, system, and/or apparatus for automatically monitoring for possible infection or other physical health concerns, such as from Covid-19. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically uses and/or learns user location and activity patterns and determines and infection risk that can be communicated as a warning to community members.

A method, system, and/or apparatus for automatically monitoring for possible infection or other physical health concerns, such as from Covid-19. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically uses and/or learns user location and activity patterns and determines and infection risk that can be communicated as a warning to community members.

A medical treatment device is configured to be used during a treatment session at a first location and includes a medical treatment component configured to perform at least one of hemodialysis, hemofiltration, and peritoneal dialysis on a patient during the treatment session at the first location. The device also includes a monitoring system configured to receive data from one or more sensors connected to the monitoring system, and to confirm a presence of an authorized helper at the first location. A user interface permits an operator to control functions of the medical treatment component and the monitoring system is configured to perform the presence confirmation automatically and at the predefined time intervals during the treatment session. The monitoring system is also configured to generate an alarm and to cause the medical treatment component to go into a failsafe operational mode.

A medical treatment device is configured to be used during a treatment session at a first location and includes a medical treatment component configured to perform at least one of hemodialysis, hemofiltration, and peritoneal dialysis on a patient during the treatment session at the first location. The device also includes a monitoring system configured to receive data from one or more sensors connected to the monitoring system, and to confirm a presence of an authorized helper at the first location. A user interface permits an operator to control functions of the medical treatment component and the monitoring system is configured to perform the presence confirmation automatically and at the predefined time intervals during the treatment session. The monitoring system is also configured to generate an alarm and to cause the medical treatment component to go into a failsafe operational mode.

A macular health measurement and storage system comprises a plurality of macular-pigment measurement machine for measuring macular pigment density in humans, a plurality of computers each of which is associated with a corresponding one the macular-pigment measuring machines, and a central host. The plurality of macular-pigment measurement machines include a device for receiving macular pigment data from a patient, at least one data transfer port, and at least one processor that enables the transfer of the macular pigment data from the transfer port. The plurality of computers include a first port coupled to the data transfer port of the corresponding macular-pigment measurement machine for receiving the macular pigment data. Each of the computers includes a second port for transferring patient data. The central host is coupled to the second ports on each of the plurality of computers. The central host includes a storage device for storing the patient data.

A macular health measurement and storage system comprises a plurality of macular-pigment measurement machine for measuring macular pigment density in humans, a plurality of computers each of which is associated with a corresponding one the macular-pigment measuring machines, and a central host. The plurality of macular-pigment measurement machines include a device for receiving macular pigment data from a patient, at least one data transfer port, and at least one processor that enables the transfer of the macular pigment data from the transfer port. The plurality of computers include a first port coupled to the data transfer port of the corresponding macular-pigment measurement machine for receiving the macular pigment data. Each of the computers includes a second port for transferring patient data. The central host is coupled to the second ports on each of the plurality of computers. The central host includes a storage device for storing the patient data.

Apparatus for identifying the persons participating in an encounter, where identifying information for each of a plurality of registered human individuals is stored in a database, calls for capturing local images of an individual and determining whether this individual is the same as one of the registered individuals whose identifying information is stored in the database. The identifying information stored in the database includes at least one image of a unique, visually observable biologic identifier on a body portion of each registered individual. The accuracy of user identification is enhanced by allowing the sender of information to supply visual content which modulates the appearance of a biologic identifier of the user. Utilization of the system for the document of critical encounters such as medical events is provided.

Apparatus for identifying the persons participating in an encounter, where identifying information for each of a plurality of registered human individuals is stored in a database, calls for capturing local images of an individual and determining whether this individual is the same as one of the registered individuals whose identifying information is stored in the database. The identifying information stored in the database includes at least one image of a unique, visually observable biologic identifier on a body portion of each registered individual. The accuracy of user identification is enhanced by allowing the sender of information to supply visual content which modulates the appearance of a biologic identifier of the user. Utilization of the system for the document of critical encounters such as medical events is provided.