Abstract:
Methods, systems, and apparatuses are described for facilitating the delivery of an electronic prior authorization (ePA). Unique systems for facilitating the delivery of an ePA by an ePA provider system to an ePA requestor system and for modeling the state of an ePA request/response process are provided. A user interface (UI) generation component for dynamically generating a UI for presentation to a user is also provided. Methods corresponding to the functions performed by the systems and apparatuses are also provided.
Abstract:
Methods for dynamic routing of queued network-based communications using real-time information and machine learning are performed by systems and devices. Requests associated with fulfillments are received over a network from requestor systems, and the requests are queued in a data structure of a queue. Information that includes geolocation information from a user device of a user that is associated with the fulfillment, temporal information from the user device, or related request information associated with another request is then received over the network, and a fulfiller and a fulfillment time for the fulfillment are determined from the information. The request is provided from the queue to the fulfiller at the fulfillment time over the network.
Abstract:
Methods for dynamic routing of queued network-based communications using real-time information and machine learning are performed by systems and devices. Requests associated with fulfillments are received over a network from requestor systems, and the requests are queued in a data structure of a queue. Information that includes geolocation information from a user device of a user that is associated with the fulfillment, temporal information from the user device, or related request information associated with another request is then received over the network, and a fulfiller and a fulfillment time for the fulfillment are determined from the information. The request is provided from the queue to the fulfiller at the fulfillment time over the network.
Abstract:
Methods, systems, apparatuses, and computer program products for building records from false positive matches are disclosed. A master record is identified that incorrectly groups a plurality of source records in a database, where the plurality of source records contain demographic information for multiple people. In the database, a first record, a second record, and exclusion data are created, where the first and second records contain demographic information for each person and the exclusion data indicates that the first record should not be linked to the second record. A matching criteria is applied to each record of a collection of source records that includes the first and second records and the plurality of source records to identify a set of connections. The first record and the second record are built based at least on the set of connections and stored in the database.
Abstract:
Methods, systems, and apparatuses are described for real time benefit check (RTBC). Described method, system, and apparatus embodiments are provided to enable real-time request/response transactions initiated by a prescriber to a pharmacy benefits management (PBM). The described embodiments enable RTBC transactions that may be request/response transactions to provide the requester with formulary and coverage status and estimated patient cost for a patient and drug within a fulfillment method such as retail pharmacy, 90 day supply retail pharmacy, or mail order pharmacy.
Abstract:
Systems, methods, and devices are described for efficient and intelligent source reductions for querying multiple sources over an external network. A medical history request for a patient is received from a requestor via a network. A set of providers is identified from a provider database based at least on the history request, and a set of physical addresses is generated based at least on the set of providers. The set of physical addresses are filtered according to filter criteria to generate a filtered set of physical addresses. Computing systems, of respective providers, which respectively correspond to the filtered set of physical addresses are queried over an external network to generate a query result that includes history information for the patient and that is representative of querying each computing system associated with the unfiltered set of physical addresses.
Abstract:
Systems and methods, as well as devices, are described for computer system compatibility. Computer systems exchange messages over a network or communication link according to a communication standard. A declarations of how a communication standard is implemented by a trading partner computer system is received by a host provider computer system, and an ontology model of the implementation is generated based at least in part on information in the declaration. The ontology models are queried to cause the provision of query responses indicative of differences between the trading partner implementation and a host provider implementation of the communication standard. Indications of communication compatibility between the computer systems are generated based on results of the queries against the ontology model. The indications may include augmented enforcement libraries to be implemented by the trading partner for messaging interoperability.
Abstract:
Methods, systems, apparatuses, and computer program products for discovering fraudulent account usage are disclosed. In an example, a database is queried to identify a list of accounts and transaction categories. A first table is generated based on the transaction categories. A second table is generated by populating the first table based on a response to querying the database for a first set of historical transactions over a first period of time. A third table is generated by populating the first table based on a response to querying the database for a second set of historical transactions over a second period of time. A measure of similarity for each of the accounts is generated based on the second table and the third table. For each account with a corresponding measure of similarity below a threshold, the account is identified as a fraudulent account candidate.
Abstract:
Methods, systems, and apparatuses are described for filtering a transaction over a network, according to embodiments. In an example system, a transaction request is retrieved over a network. A model that is configured to predict a likelihood associated with automatic adjudication of transactions is accessed. Based at least on the transaction request and the model, a likelihood that the transaction request can be adjudicated automatically is determined. If the likelihood that the transaction request can be adjudicated automatically is above a threshold, one or more actions are performed, such as generating an indication that a portion of the transaction request can be adjudicated automatically or generating an automatic adjudication indicating whether the transaction request should be approved. In response to generating the indication or the automatic adjudication, the transaction request and the indication or the automatic adjudication are forwarded over the network to an endpoint associated with the transaction request.
Abstract:
Systems, methods, and devices are described for classifying and answering medical inquiries based on machine-generated data resources and machine learning models. A CCDA document including clinical information and observations of a patient are received from a requestor and utilized to generate a FHIR model instance specific to the CCDA document. Question text having medical inquires for the patient, and received with the CCDA document, is processed by a machine learning model to determine question categories for the medical inquiries which are utilized to map the inquires to objects of the model instance using another machine learning model. The model instance is queried based on the mapping to return values associated with the inquiries. The values are transmitted back to the requestor.