In the digital era, effective data collection and use are fundamental for providing quality healthcare. However, health systems face a considerable challenge: data fragmentation. According to recent studies, approximately 80% of important data generated in hospitals is scattered across separate silos that rarely integrate with each other.

The Problem of Data Silos:

This problem manifests in various aspects of hospital management, from medical records to accounting systems and inventory management. Data is trapped in silos, such as electronic health records, ERP (Enterprise Resource Planning) systems that manage income and expenses, cost accounting records, pharmacy and purchasing inventories, as well as spreadsheets used for operational management, among others. This data fragmentation hinders obtaining a complete view of patient care and limits healthcare professionals’ ability to make informed decisions.

Avedian’s Solution:

Avedian emerges as an innovative solution to this challenge. With proven international methodologies, Avedian delves into hospital case mix and costs, applying benchmarking techniques and data analysis to identify areas for improvement. But most importantly, at Avedian we are innovative using artificial intelligence (AI) to suggest the best care processes for each patient profile.

By leveraging the power of AI, Avedian can analyze large volumes of data quickly and accurately, providing personalized recommendations that optimize medical care and improve patient outcomes.

We know that in a world where data is the most valuable asset, fragmentation in the healthcare system is an obstacle that must be overcome.