Artificial Intelligece

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Collection Scoring with AI/ML

2022-07-27T15:44:00+00:00October 9th, 2020|Categories: Artificial Intelligence, Collections, Machine Learning, Predictive Modeling|Tags: , , , |

Collection Scoring - How Healthcare Providers Can Use AI/ML for Optimal Results Debt collection is a costly, yet necessary undertaking for healthcare providers. To reduce costs, debt collection often gets outsourced to a third-party agency. However, handling accounts that are more likely to pay in-house can reduce outsourcing costs. To accurately identify these accounts, healthcare providers can leverage artificial intelligence (AI) for Collection Scoring. Why Healthcare Providers Should Use AI For Collection Scoring AI-based collection scoring models allow healthcare providers to accurately determine which accounts receivable to handle in-house and which to outsource to collection agencies. This results in: Increased debt collection rates, because collectors will [...]

Weighing the Options: In House Vs Outsourcing Automation Programs

2021-03-15T18:33:03+00:00April 29th, 2020|Categories: Artificial Intelligence, Automation, Case Studies, Data Science, Machine Learning, Workflow|Tags: , , , , , , |

Are you considering using an in-house team of Data Scientists to implement an Automation program? Before you make your decision, consider the following criteria. Over the last 9 years, the team here at NLP Logix has developed hundreds of AI/ML solutions throughout a wide variety of industries.  From building predictive maintenance models for the F-35 to detecting breast cancer tumors in pathology slides, we have seen a lot when it comes to AI and automation. Often times we have clients who are debating whether or not to hire an outside firm such as NLP Logix, or build these solutions in-house by hiring an internal data science team.  The answer to that question [...]

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