Products

AI Claim Manager

The AI Claim Manager is an all-in-one platform revolutionizing medical malpractice claim management. Leveraging artificial intelligence, it streamlines the full process from the moment a new claim is filed until its closure. The platform features advanced document processing, data anonymization, case retrieval, and actionable insights, providing a seamless, end-to-end claim management solution. With up-to-date risk and cost predictions, suggested reserves, and automated recommendations, it enhances decision-making and operational efficiency, therefore covering the full process

Enhanced Accuracy and Decision-Making

AI-powered insights ensure precise risk assessments, cost predictions, and reserve estimations, enabling better strategies suggested by the system.

Cost and Time Efficiency

Automates repetitive tasks, reduces manual intervention, and accelerates claim processing, cutting operational expenses.

Positioning as an Innovator

Adopting cutting-edge AI technology positions companies as leaders in innovation and enhances their market reputation.

Key Features of the AI Claim Manager

End-to-End Claim Management

Covers the entire lifecycle of a claim, ensuring a streamlined process from initiation to resolution.

Tailored to the Insurance Company

Fine-tuned with the client’s data, the AI Claim Manager adapts to specific situations and contexts, providing reserves, actions, and next steps tailored through analysis of past and recent cases.

Data-Driven Predictions and Retrieval

Combines machine learning and case retrieval to deliver real-time risk assessments and leverage historical insights.

Hospital Clínic de Barcelona

Medidedàlia collaborates with Hospital Clínic in AI projects.

Medidedalia is developing an AI-based platform to analyze patient feedback collected through open-ended questions after their hospital stay. This platform goes beyond sentiment analysis, topic identification, and urgency detection by actively managing the post-hospital experience. It not only alerts healthcare providers about urgent issues but also facilitates action to address those concerns, functioning as a comprehensive management tool for improving patient care.

Universitat de Barcelona

Medidedalia collaborates with a Chair at the Campus Clínic – Faculty of Medicine and Health Sciences of the Universitat de Barcelona. Dr. Josep Arimany is the director of the Legal Medicine, Professional Responsibility and Clinical Safety chair, bringing academic and research excellence to our institution.

Esade

Medidedalia’s committee is part of the Data Driven Decisions Research Institute, centered on understanding and analyzing human decisions based on data sciences and artificial intelligence techniques and centered on a responsible use of data for a good impact on society. Together, we develop machine learning models applicable to clinical cases.