Client
A mammography clinic chain
Region
Texas, US
Industry
Healthcare
Completed
26 Aug 2024
The client is an innovation-driven healthcare provider, one of the largest independent breast health and diagnostic solutions providers that has been dedicated to helping women achieve and maintain breast health and peace of mind for more than 35 years. They are committed to early cancer detection and ensuring patient compliance with the firm objective to improve patient outcomes and overall increase efficiency in community healthcare.
The client partnered with Finarb to integrate their data from disparate sources into a data warehouse, built a predictive model to predict the likelihood of patients at high risk of non-compliance, enabling the client to take targeted interventions.
As a part of their objective towards early-stage breast cancer detection, the client wanted to measure and improve compliance rates among patients for mammography screenings. From an operational aspect, high compliance implied optimal utilization of rooms and technologists for the client.
However, with a high volume of patient data residing across disparate sources, it was a time-consuming process for them to analyse and identify high-risk patients for non-compliance. Without a centralized data repository, processing and analysing data efficiently was a challenge, leading to delays in gaining insights, ineffective patient outreach campaigns and poor patient compliance.
Additionally, the lack of integration between different data sources and systems hindered interoperability and data exchange.
The collaboration between the client and Finarb yielded significant results and benefits:
A secure data warehouse allowed the client to efficiently track and monitor patient compliance with routine mammogram checks. High-resolution dashboards and robust reporting capabilities provided a comprehensive overview of their operations and performance.
The client was able to perform targeted and personalized outreach programs for high-risk patients, optimizing the allocation of resources and improving overall efficiency.
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