Systems, methods, and computer-readable storage media for receiving, from an issuer, an electronic prescription for a patient, then fulfilling that prescription using a blockchain/distributed ledger verification system. The system receives multiple public keys, combines them, then performs a hash function (or other encryption) on that combination. The resulting output is then transmitted to a pharmacy for prescription fulfillment.

Systems, methods, and a computer program product are provided which establish application-based telemedicine methods and protocols for providing authorization to an unlicensed or licensed user to perform a cleaning operation on a patient's ear canal. Specifically, once the user determines that a cleaning operation is necessary, an application is provided which allows the user to consolidate relevant information regarding the patient, send the relevant patient information along with a permission request to a licensed medical professional, receive an approved permission request, and perform a cleaning operation on the patient.

Systems, methods, and a computer program product are provided which establish application-based telemedicine methods and protocols for providing authorization to an unlicensed or licensed user to perform a cleaning operation on a patient's ear canal. Specifically, once the user determines that a cleaning operation is necessary, an application is provided which allows the user to consolidate relevant information regarding the patient, send the relevant patient information along with a permission request to a licensed medical professional, receive an approved permission request, and perform a cleaning operation on the patient.

A computer-implemented method of mapping attribute names of a source data model to a destination data model includes obtaining multiple source attribute names from the source data model, and obtaining multiple destination attribute names from the destination data model. The destination data model includes multiple attributes that correspond to attributes in the source data model having different attribute names. The method includes processing the obtained source attribute names and the obtained destination attribute names to standardize the attribute names according to specified character formatting, supplying the standardized attribute names to a machine learning network model to predict a mapping of each source attribute name to a corresponding one of the destination attribute names, and outputting, according to mapping results of the machine learning network model, an attribute mapping table indicating the predicted destination attribute name corresponding to each source attribute name.

A computer-implemented method of mapping attribute names of a source data model to a destination data model includes obtaining multiple source attribute names from the source data model, and obtaining multiple destination attribute names from the destination data model. The destination data model includes multiple attributes that correspond to attributes in the source data model having different attribute names. The method includes processing the obtained source attribute names and the obtained destination attribute names to standardize the attribute names according to specified character formatting, supplying the standardized attribute names to a machine learning network model to predict a mapping of each source attribute name to a corresponding one of the destination attribute names, and outputting, according to mapping results of the machine learning network model, an attribute mapping table indicating the predicted destination attribute name corresponding to each source attribute name.

A computer-implemented method to improve adherence level to a medical treatment plan or medication regimen is disclosed. The method comprises the steps to integrate with the payer, to create or manage a care plan, to engage caregivers, to connect to pharmacies and to engage with HCPs. The method may also comprise connection with one or more communities or may comprise connection with external resources. A system for improving treatment adherence level is disclosed. The system comprises a server, computerized devices for patients, computerized devices for caregivers and a network configured to allow communication between the different devices and stakeholders. The computerized devices for patients are configured to fetch and display treatment or medications plan data associated with the user. The computerized devices for caregivers are configured to fetch and display treatment or medication plans data associated with the one or more users (patients) being followed by the caregiver.

A computer-implemented method to improve adherence level to a medical treatment plan or medication regimen is disclosed. The method comprises the steps to integrate with the payer, to create or manage a care plan, to engage caregivers, to connect to pharmacies and to engage with HCPs. The method may also comprise connection with one or more communities or may comprise connection with external resources. A system for improving treatment adherence level is disclosed. The system comprises a server, computerized devices for patients, computerized devices for caregivers and a network configured to allow communication between the different devices and stakeholders. The computerized devices for patients are configured to fetch and display treatment or medications plan data associated with the user. The computerized devices for caregivers are configured to fetch and display treatment or medication plans data associated with the one or more users (patients) being followed by the caregiver.

A method includes generating an intervention model for a population of users based on contact data, demographic data, and engagement data indicating successfulness of prior interventions for each of the population of users. The method includes, obtaining first data related to a first user, including engagement data indicating successfulness of prior interventions with the first user. The method includes supplying the obtained data as input to the intervention model to determine an intervention expectation, which indicates a likelihood that the first user will take action in response to an intervention. The method includes determining a likelihood of a gap in care. The method includes, in response to the care gap likelihood exceeding a minimum threshold, selecting and scheduling execution of a first intervention. The first intervention is one of a real-time communication with the first user by a specialist and an automated transmission of a message to the first user.

A method includes generating an intervention model for a population of users based on contact data, demographic data, and engagement data indicating successfulness of prior interventions for each of the population of users. The method includes, obtaining first data related to a first user, including engagement data indicating successfulness of prior interventions with the first user. The method includes supplying the obtained data as input to the intervention model to determine an intervention expectation, which indicates a likelihood that the first user will take action in response to an intervention. The method includes determining a likelihood of a gap in care. The method includes, in response to the care gap likelihood exceeding a minimum threshold, selecting and scheduling execution of a first intervention. The first intervention is one of a real-time communication with the first user by a specialist and an automated transmission of a message to the first user.

A method and system for initiating message listening and routing message content to authorized user devices is disclosed. For a second user device to receive notifications regarding records of a first user, the second user device provides information identifying the first user to a notification service. The notification service verifies the identifying information. The notification service initiates one or more listeners to listen for messages flowing over a messaging bus that are relating to the first user. Once a message is identified, at least a portion of the message is used to generate a notification that may be sent to the second user device.