Reliable clinical and financial data with a lakehouse platform

Introduction

An integrated healthcare network, with operations in Latin America and the United States, relied on Excel reports—manually consolidated each month—to make decisions.

Figures did not align across different departments, and there was no unified view of patients, facility occupancy, medical productivity, or profitability by service.

The issue was not a lack of data, but rather a lack of trust in that data, which delayed decision-making and limited the use of advanced analytics.

To address this challenge, the organization collaborated with Rootstack to design and implement a cloud-based data platform featuring a "lakehouse" architecture, a standardized clinical model, and predictive analytics.

An integrated healthcare network, with operations in Latin America and the United States, relied on Excel reports—manually consolidated each month—to make decisions.

Figures did not align across different departments, and there was no unified view of patients, facility occupancy, medical productivity, or profitability by service.

The issue was not a lack of data, but rather a lack of trust in that data, which delayed decision-making and limited the use of advanced analytics.