A medication reconciliation system that interfaces between pharmacies and healthcare providers to provide accurate patient medication history and a medication reconciliation process for providing accurate patient medication history by interfacing between pharmacies and healthcare providers are disclosed. The medication reconciliation system and process provide a level of healthcare that allows healthcare providers to accurately reconcile a patient’s medication history across multiple medication supplying sources.

An electronic patient monitoring system and method of operation that includes one or more generally non-metal, tamper-resistant patient identification and monitoring devices, an observer transmitter/receiver device configured to receive and detect one or more beacon signals that exceed a predetermined threshold from at least one of the not easily removable patient identification and monitoring devices, set a time to hold open a window for a response on the transmitter/receiver device, and send a request for information to the observer with the transmitter/receiver device, and a central computer system. Each of the transmitter/receiver device and the central computer system, including, at least, a computer processor, communications components and system software to communicate with the observer transmitter/receiver device at specified/predetermined time intervals to receive observer- and patient-specific information.

An electronic patient monitoring system and method of operation that includes one or more generally non-metal, tamper-resistant patient identification and monitoring devices, an observer transmitter/receiver device configured to receive and detect one or more beacon signals that exceed a predetermined threshold from at least one of the not easily removable patient identification and monitoring devices, set a time to hold open a window for a response on the transmitter/receiver device, and send a request for information to the observer with the transmitter/receiver device, and a central computer system. Each of the transmitter/receiver device and the central computer system, including, at least, a computer processor, communications components and system software to communicate with the observer transmitter/receiver device at specified/predetermined time intervals to receive observer- and patient-specific information.

A medical payment system is described in which a provider of medical goods and/or services submits, via telephone or other communications medium, a request for payment amount determination for a patient encounter. A price determination system determines which of a plurality of fee schedules negotiated by the provider applies to the patient encounter and calculates, based at least in part on information entered by the provider, a payment amount for the encounter. In one embodiment, the provider receives the payment amount information while the patient is at the point of service. In one embodiment, the provider may use the system to submit a claim for payment by at least one responsible party.

Digital pass verification systems and methods are disclosed herein. One or more servers are to distribute instructions on a network. The instructions, when executed, cause a first device carried by a person to at least: access a result of a diagnostic test performed on the person, the result provided by a second device; generate a machine-readable code in response to the result being negative; and display the machine-readable code on a display of the first device to enable the person to gain access to a location.

Digital pass verification systems and methods are disclosed herein. One or more servers are to distribute instructions on a network. The instructions, when executed, cause a first device carried by a person to at least: access a result of a diagnostic test performed on the person, the result provided by a second device; generate a machine-readable code in response to the result being negative; and display the machine-readable code on a display of the first device to enable the person to gain access to a location.

The disclosure provides a system that may receive an identification of a first patient; may receive a first template that includes first multiple locations associated with a face of the first patient and associated with the identification of the first patient; may determine second multiple locations associated with a face of a current patient; may determine a second template of the face of the current patient based at least on the second multiple locations associated with the face of the current patient; may determine if the first template matches the second template; if the first template matches the second template, may provide an indication that the current patient has been correctly identified as the first patient; and if the first template does not match the second template, may provide an indication that the current patient has not been identified.

The disclosure provides a system that may receive an identification of a first patient; may receive a first template that includes first multiple locations associated with a face of the first patient and associated with the identification of the first patient; may determine second multiple locations associated with a face of a current patient; may determine a second template of the face of the current patient based at least on the second multiple locations associated with the face of the current patient; may determine if the first template matches the second template; if the first template matches the second template, may provide an indication that the current patient has been correctly identified as the first patient; and if the first template does not match the second template, may provide an indication that the current patient has not been identified.

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by an end-to-end machine learning framework that performs at least the following steps/operations: (i) a service request data object is processed by a diagnosis prediction machine learning model to generate a probabilistic diagnosis data object, (ii) the probabilistic diagnosis data object is processed by the hybrid diagnosis-provider classification machine learning model to generate a variable-length classification for the service request data object, and (iii) the variable-length classification is processed by a telehealth visit recommendation scoring machine learning model to generate a telehealth visit recommendation score for the service request data object.

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by an end-to-end machine learning framework that performs at least the following steps/operations: (i) a service request data object is processed by a diagnosis prediction machine learning model to generate a probabilistic diagnosis data object, (ii) the probabilistic diagnosis data object is processed by the hybrid diagnosis-provider classification machine learning model to generate a variable-length classification for the service request data object, and (iii) the variable-length classification is processed by a telehealth visit recommendation scoring machine learning model to generate a telehealth visit recommendation score for the service request data object.