Abstract: A system with a saliva sampling device configured to be orally worn by a patient. The saliva sampling device is a polymer retainer or aligner. A saliva analysis engine is used to correlate one or more analytes of one or more saliva samples with one or more health attributes. A health monitoring engine updates a health profile of the patient based on the correlated health attributes.

Abstract: A graphical user interface (“GUI”) is generated on the display, the GUI has a graphical depiction that simulates a translucence level of an oral appliance. The graphical depiction of the translucence level is adjustable based on a user input. A value based on the user selected translucence level is sent to an external device for determination of manufacturing parameters for the oral appliance.

Abstract: A system with a saliva sampling device configured to be orally worn by a patient. The saliva sampling device is a polymer retainer or aligner. A saliva analysis engine is used to correlate one or more analytes of one or more saliva samples with one or more health attributes. A health monitoring engine updates a health profile of the patient based on the correlated health attributes.

Abstract: Orthodontic intervention is performed after a patient, undergoing an orthodontic treatment plan utilizing orthodontic aligners, sends an image of their teeth remotely to an image processing module. The image is analyzed to determine current teeth position and crate an electronic model of the current teeth position. From the teeth position model, it is determined that the current teeth position is not compatible with the orthodontic treatment plan, which typically requires restarting the treatment plan and having the patient rescanned. Here, an electronic model of a rescue appliance is generated, where the rescue aligner is configured to move the teeth to a position back into compatibility with the orthodontic aligners. The rescue aligner is manufactured and sent to the patient without requiring the patient to visit any point of care.

Abstract: A system and method for generating a 3D-printed medical appliance treatment plan and providing a set of 3D-printed medical appliances in accordance therewith, the method comprising: generating a dynamic 3D-printed medical appliance treatment plan generation model; obtaining a patient record; receiving 3D scanning data of the patient; generating a 3D-printed medical appliance treatment plan by applying the patient record and the 3D scanning data to the dynamic 3D-printed medical appliance treatment plan generation model; providing the 3D-printed medical appliance treatment plan to a medical practitioner; providing a manufacturing request to a manufacturer system for manufacturing a set of 3D-printed medical appliances; providing the set of 3D-printed medical appliances to the patient; receiving feedback from the medical practitioner regarding the 3D-printed medical appliance treatment plan; modifying the dynamic 3D-printed medical appliance treatment plan generation model based on the feedback.

Abstract: A system with a saliva sampling device configured to be orally worn by a patient. The saliva sampling device is a polymer retainer or aligner. A saliva analysis engine is used to correlate one or more analytes of one or more saliva samples with one or more health attributes. A health monitoring engine updates a health profile of the patient based on the correlated health attributes.

Abstract: A graphical user interface (“GUI”) is generated on the display, the GUI has a graphical depiction that simulates a translucence level of an oral appliance. The graphical depiction of the translucence level is adjustable based on a user input. A value based on the user selected translucence level is sent to an external device for determination of manufacturing parameters for the oral appliance.

Abstract: A system, method, and apparatus for providing referral management are disclosed. An example method includes receiving a request message from a consumer device of a first member, the request message identifying a service type, determining a group of members that are trusted connections of the first member, determining a subset of the trusted connections that includes trusted connections that have experience with the service type, transmitting a referral request message to consumer devices associated with the trusted connections of the subset, receiving a referral response message including an identifier of a provider of the requested service type from at least one of the client devices that received the referral request message, and transmitting a request response message to the consumer device of the first member including the identifier of the provider.