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Title
Orizon fine-tunes GenAI models on Databricks to automate 63% of healthcare fraud-detection code documentation
…is an understatement. According to Guisse, “With our brand-new GenAI features, we are currently processing 63% of tasks automatically. So, our developers can focus on development, not just documentation.” Since th…
Description
Orizon, a Brazilian health tech fraud-detection company managing 40,000+ medical billing rules, fine-tuned Llama2-code and DBRX models on Databricks using MLflow and Model Serving, and embedded the resulting LLM chatbot into Microsoft Teams via Unity-Catalog-governed data, so business users could get instant rule explanations instead of waiting on C++ developers. The system now automates 63% of documentation workflows, cut documentation time to under five minutes, freed up 1.5 developers, and is estimated to add 1 billion BRL in productivity.
…pabilities. Guilherme Guisse, Head of Data and Analytics at Orizon, explained, “We have around 40,000 medical rules in our system and add around 1,500 new rules each month. Every time a new rule was added, we…
…ng, model building, tuning and experiment tracking — to ensure reproducibility. Once the Orizon team fine-tuned the Llama2-code and DBRX GenAI models with their own data and business rules, they securely deployed the models through Databricks Model Serving , making them accessible and usable across the organization. Fortunately, the p…
Company
Orizon
…on 63% Of workflows automated with LLMs 1 billion BRL in productivity increases Orizon, a health tech company within the Bradesco Group, enhances healthcare efficiency. Their platform connects insurance companies, hospitals, doctors and patients by…
Country
Brazil
…nificantly reducing fraud, contributing to cost savings for insurance plans and improving healthcare access and quality for the people of Brazil. Orizon can now explore additional innovative AI use cases. Next, the team hope…
Industry
Healthcare
…technologies to improve healthcare delivery in Brazil. Share this post Details Industry : Healthcare and Life Sciences , Technology and Software Use Case : Artificial Intelligence Cloud : Azure Product : Agent Bricks , Datab…
Problem
Orizon had around 40,000 medical rules with about 1,500 new rules added each month, each requiring a developer to look at legacy C#/C++ code, document it and create a flowchart, a manual and error-prone process that consumed considerable IT resources and created bottlenecks between business analysts and developers.
…we would have a developer look at the code, document it and create a flowchart. It was a very manual and error-prone process.” These rules — coded in legacy languages like C# and C++ — were necessary to de…
Solution
Orizon adopted a data lakehouse architecture on the Databricks Data + AI Platform with Delta Lake for reliable ACID data storage, used MLflow to manage the machine learning lifecycle, fine-tuned the Llama2-code and DBRX GenAI models with its own data and business rules, deployed them through Databricks Model Serving, embedded them into Microsoft Teams, and secured proprietary business rules with Unity Catalog's granular permissions.
…stem, streamlining data workflows and ensuring efficient access and management. The inclusion of Delta Lake provided reliable data storage and management, enhancing the company’s ability to handle ACID transactions and unify streaming and batch data processing. This move laid the groundwork fo…
Business value
Orizon now processes 63% of tasks automatically, documentation that used to take days now takes under five minutes, the change freed up one and a half developers for higher-value work, saved approximately $30K per month in better-used resources, and is projected to add 1 billion Brazilian reals in productivity by scaling new-rule creation from 1,500 to 40,000 per month.
…rules. This shift has also translated to significant cost savings for Orizon — approximately $30K per month in better-used resources. Even more impressive, the documentation process takes less than five minutes,…
Technology
Delta Lake, MLflow, Databricks Model Serving, Unity Catalog, Databricks SQL, Llama2-code, DBRX, Agent Bricks
…nces , Technology and Software Use Case : Artificial Intelligence Cloud : Azure Product : Agent Bricks , Databricks SQL , Delta Lake , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…
AI capabilities
Large Language Models, Document Intelligence, Fraud & Anomaly Detection
…rs and patients by using advanced analytics and artificial intelligence (AI) to detect financial fraud in medical billing. Orizon is dedicated to digital transformation, yet the company has struggled w…
Use case type
Document processing
…incorporate GenAI into other internal workflows, their initial use of LLMs for text and graphical documentation of source code saved time and effort, benefiting business users on the product and commercial…
Headline outcome
…ve information in the healthcare industry 5 Minutes to build code documentation 63% Of workflows automated with LLMs 1 billion BRL in productivity increases Orizon, a health tech company within th…
Deployment model
cloud
…and Life Sciences , Technology and Software Use Case : Artificial Intelligence Cloud : Azure Product : Agent Bricks , Databricks SQL , Delta Lake , Unity Catalog Ready to g…
Deployment options
cloud
…and Life Sciences , Technology and Software Use Case : Artificial Intelligence Cloud : Azure Product : Agent Bricks , Databricks SQL , Delta Lake , Unity Catalog Ready to g…
