Potentia Analytics

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City: Carbondale

State: Illinois

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Country: United States

Potentia Analytics™ helps healthcare organizations turn their data into actionable wisdom for data-driven decisions. We use Artificial Intelligence, Machine Learning &a; Game Theory to develop solutions that drive decision making, efficiency and profitability. One of the biggest problems affecting operational efficiency in healthcare is Demand Capacity Mismatch. To solve this problem, we perform demand-driven, data-guided, resource allocation with simulation and optimization capabilities, leveraging properly designed machines to help you get the most of your organization resources. In other words, we know a lot about the patients in advance. Using a form of artificial intelligence called Deep learning and considering all the factors that affect flow in each facility we have been able to achieve prediction accuracies of over 80%. Software Solutions: leading-edge decision making tools Command Center Solutions, Bernoulli Optimizer by Potentia Analytics-EHR Data Optimization, Symphony Intelligent Scheduling Optimization by Potentia Analytics. Services: Accelerate time-to insights with our customizable, pre-built BI solutions: Consulting, Training, Support, Data Design &a; Management, Enterprise Software Design. Foresight™ software by Potentia Analytics™, is a predictive analysis solution based on a variety of domains like Nash Game Theory, Fuzzy Logic, Deep Reinforcement Learning, Natural Language Processing to streamline strategy, policy, and decision making for governments, institutions, and corporations. Subject Matter Experts use Foresight to create models of real-life situations with actors representing people, governments, or other organizations. The software plays rounds with offers made among the actors in each round. Coalitions form and collapse throughout the “game”, as in real-life, leading to a final outcome. It can address any problem that includes "negotiation" and "coalition" with different stake-holders, entities, events, and/or actors with conflicting interests or effects on an outcome in the future for a wide range of economic and political issues.

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