Confidential Client

Our client faced the challenge of optimising their An-Acc funding to support their expansion while continuing to provide high-quality care. Although they had already developed extensive clinical datasets for reporting, they struggled to effectively utilise this data to improve financial outcomes, which was crucial for their continued growth and operational success.

To address this challenge, we partnered with their leadership team to implement a data-driven approach focused on enhancing financial outcomes through optimised An-Acc funding. Our solution included the following key steps:

Clinical Data Integration

We integrated the client's extensive clinical datasets into a unified system, ensuring that the data could be effectively used for both clinical reporting and financial optimisation.

Machine Learning Model

Leveraging Databricks, we developed and trained a machine learning model to analyse clinical data. This model was designed to identify patterns and opportunities that could lead to improved An-Acc funding outcomes.

Actionable Insights

The machine learning model provided our client with actionable insights, enabling them to make informed decisions about resident care. These insights ensured that care was both effective and efficient, directly contributing to improved financial results.