Big Data to Improve Healthcare
Summary
BigMedilytics project aims to transform the European healthcare sector through the application of Big Data technologies that significantly increase its productivity.
Description
ITI is participating in the BigMedilytics project as a technological partner, contributing its expertise in Big Data Analytics to develop two pilot projects coordinated by Incliva (the Health Research Institute in Valencia).
The first pilot aims to analyze the medical records of 5 million patients in the Valencian Community, focusing on comorbidities, to establish more effective risk groups for determining necessary medical care.
The second pilot seeks to improve workflow in the treatment and diagnosis of sepsis, where the first few hours are critical to reducing the risk of death.
Project Objectives
The project pursues a total of seven key objectives:
- Improve the diagnosis of chronic and cancerous diseases using Big Data, consequently reducing treatment costs and increasing efficiency by 20%.
- Optimize healthcare workflows in industrialized health services through real-time data capture from various sources.
- Apply diverse Big Data technologies and best practices across different use cases and scenarios, ensuring replicability.
- Propose new business models based on the integration of healthcare data from different organizations.
- Define healthcare services that ensure security and privacy within the framework of the European Union.
- Create a best practices catalog for Big Data, covering both technological aspects and business models or regulatory policies.
- Enable knowledge transfer to a set of external companies involved in the use of healthcare information.
