Products

AI Claim Manager

AI Claim Manager is the all-in-one platform revolutionizing medical malpractice claim management. Leveraging artificial intelligence, it streamlines the entire process from initial filing to final resolution. The platform features document processing, data anonymization, case retrieval, and predictive modeling, providing a seamless, end-to-end claim management solution. It can be adapted to client's unique operational needs, offering data-driven recommendations, actionable insights, and next steps tailored by analysis of past and recent cases. With up-to-date risk and cost predictions, suggested reserves, and automated recommendations, the platform enhances efficiency, accuracy, and capacity of managing complex malpractice claims.

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.

Craiteria

Craiteria is the hospital quality management platform designed to meet the specific needs of healthcare institutions by revolutionizing the way hospitals handle patient feedback data. By consolidating responses from various sources, including patient and employee surveys, complaint logs, social media, and others, Craiteria uses AI to detect critical topics, issue real-time alerts, and generate actionable insights. The platform automates the processing of high volumes of patient response data, an unsustainable burden for manual analysis, revealing valuable insights that were previously inaccessible. As a result, hospitals can integrate feedback more effectively into their quality improvement processes, leading to faster interventions and enhanced patient care.

360° Quality Management Solution

Collects feedback, analyses feelings, topics, and alerts, automates critical responses and recommends data-driven actions.

Faster Resolution of critical issues

Real-time alerts and actionable insights allow quicker, better informed decisions, leading to rapid interventions and enhanced patient satisfaction and care quality.

Efficiency & Adaptability

Streamlines data processing, reduces manual effort, and minimizes operational costs, while being flexible for specific client needs.

SCUL-AI

Recognizing the critical importance of data protection and the need to integrate generative AI into doctors' daily workflows, SCUL-AI offers a hospital-tailored platform where doctors can safely interact with large language models. The solution supports a range of clinical and administrative tasks, including document analysis, research support, and conversational transcription. Moreover, it features Retrieval Augmented Generation, unrestricted usage, and is configured according to departmental roles and access permissions. SCUL-AI also includes hands-on teaching sessions for doctors, enabling them to use the tool proficiently while deepening their understanding of how digital innovations integrate with medical practices.

Data Security

Chat with any document, from a patient’s clinical history to your hospital protocols. No external sharing.

Time Efficiency

Significantly reduces time spent on key workflows like medical report writing, comprehensive patient management, real-time data analysis, and others.

Flexibility

Suits any clinical environment, adaptable to unique client needs, local machine and private cloud options.

Hospital Clínic de Barcelona

Medidedalia collaborates with Hospital Clínic on 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.