Bloom Value Corporation

Venu M Kondle

Arun Hampapur

Sampoorna Hegde

Sharathchandra Umapathirao Pankanti

Roona Shree

Moumita Dhar

Yashpal Gulab Dhawle

Arvind Conjeevaram

Priyanka Rajesh

A system and method to authorize requests for procedures or medical claim requests is described. In one aspect, datasets from multiple data sources, including historical authorizations associated with various medical claims, are processed. The machine learning engines and the machine learning models are trained based on the received data. Simultaneously, real-time authorization requests are received and analyzed from secondary data sources. Each request is split into service requests based on second attributes, which include identifiers linked to services. The services are encoded using fixed-length encoding, and unique numeric identifiers are assigned to categorical variables. For each encoded service request, contexts, actions, and decisions are determined by comparing the first attributes of historical authorization requests with the second attributes of real-time requests. Service requests are then categorized into cohorts based on similarity metrics between their second attributes and those of historical authorizations. This comparison enables efficient processing and informed decision-making.

Intelligent authorization system

A system and a method to optimize values delivered by an enterprise, are described. An integrated system may receive data from multiple data sources that may be processed by engines and/models. The engines and/or models may execute operations or functions, such as data processing, analysis based on rules, automated learning, machine learning and transforming the data to create value graphs associated with processes, tasks, and/or services in the enterprise. The value graphs may be generated that may provision continuous monitoring and insights to measure of KPIs and other influencing factors that may be associated with the processes, and services in the enterprise. The integrated system may generate visualizations that may be rendered via user interfaces. Further based on the value graphs, stakeholders may be able to identify opportunities associated with processes, tasks, and/or services that may be actioned to drive employee engagement, and value of the enterprise.

System for enterprise value optimization

Growing community of inventors

West Sacramento, CA, United States of America

Venu M Kondle