Abstract: Systems and methods for providing preauthorization requirements are described. An illustrative method may include receiving an input comprising service information and service provider information, retrieving stored preauthorization information from the database based on the service and the service provider, capturing, via a web crawler, raw updated preauthorization information from the networked location, structuring the raw updated preauthorization information using a generative transformer to generate structured updated preauthorization information, detecting changes between the stored preauthorization information and the structured updated preauthorization information, and, in response to detecting changes, updating the stored preauthorization information based on the structured updated preauthorization information.

Abstract: Systems and methods for automatically answering questions based on a biomedical document are presented herein. The system may include a question-answering machine learning model. The question-answering machine learning model may be enhanced by segmenting the document. The system may include a topic clustering machine learning model for segmenting the document. Through segmentation, the resulting system may provide a lower error rate at a lower computational cost when compared to traditional question-answering machine learning models.

Abstract: Systems and methods for automatically approving prior authorization requests for an episode of service are described. An illustrative system may be used by insurance providers, clients, and third parties to request prior authorizations for episodes of service with real-time approvals if a requested service meets authorization criteria. Throughout each step of the authorization process, transactional information is logged and securely sent to all key parties using the blockchain.