Abstract: Methods and systems for providing a secure healthcare communication exchange platform. The methods and systems perform operations comprising: accessing a collection of data records from a plurality of sources, the collection of data records corresponding to a given entity; generating, based on the collection of data records, an aggregated representation of one or more conditions associated with the given entity; determining, based on the aggregated representation, that a given condition of the one or more conditions satisfies an outreach parameter; in response to determining that the given condition satisfies the outreach parameter, triggering an outreach event to communicate with the given entity; generating status information in the aggregated representation, the status information corresponding to the outreach event; and tracking the status information to establish a relationship between the given condition and the outreach parameter.

Abstract: A system includes memory hardware configured to store instructions and processor hardware configured to execute the instructions. The instructions include generating an interactive graphical user interface including a first user interface element. The instructions include, in response to a user entering a text string into the first user interface element: generating a second user interface element, generating predictive elements based on the text string, and populating the second user interface element with the predictive elements. The instructions include, in response to the user selecting one of the predictive elements: adding the predictive element to a fourth user interface element, querying a database based on the predictive element, and populating a fifth user interface element with results of the query.

Abstract: A computerized method includes receiving, from a predictive model, a personalization score representing a likelihood that a user is receptive to multiple communication protocols. The method includes selecting a set of communication protocols based on the personalization score. The method includes generating a compliance plan, for addressing a non-compliance failure, including a hierarchy of communication protocols and a set of rule-based conditions. The method includes automatically deploying the compliance plan by generating a first compliance message with a first communication protocol that corresponds to a first level of the hierarchy associated with the compliance plan. The method includes, in response to determining that the non-compliance failure persists for a threshold period of time, generating a second compliance message with a second communication protocol that corresponds to a second level of the hierarchy. The second level demands greater communication resources than the first level.

Abstract: A computerized method includes determining a clinical opportunity to improve care for a user according to automated triggering of a gap identification rule, generating a persona of the user based on one or more personalization scores that are specific to the user, and generating a care plan for reducing the gap in care based on the persona. The care plan includes a plurality of methods of increasing compliance of the user with the care plan, selected based on the one or more personalization scores, and include different modes of communicating with the user either directly or through at least one of a physician and a pharmacist depending on the one or more personalization scores. The method includes deploying the care plan to provide automated selection of one or more of the different modes of communicating with the user to increase compliance of the user with the care plan.

Abstract: A computer system includes memory and processor hardware configured to execute instructions including obtaining structured patient data specific to a patient entity from a patient database, obtaining structured enterprise data specific to the patient entity from an enterprise database, obtaining structured enrollment data specific to the patient entity from an enrollment database, processing the obtained data to generate structured patient insights data associated with the patient entity, and storing the structured patient insights data in a patient insight data structure of an insights database for access by a user device via an API. The instructions include determining a subset of the multiple patient entities associated with a client entity, processing structured data associated with the subset of the multiple patient entities to generate structured client insight data, and storing the structured client insight data in a client insight data structure of the insights database for access via the API.