Use Cases

Redy-to-use
‍Real-World Data

High-quality real-world data to accelerate research, improve outcomes and drive innovation.

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Explore how IOMED’s Data Space Platform is transforming healthcare. Our platform has helped to run a variety of use cases, demonstrating its value in real-world scenarios.

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High-quality real-world data to accelerate research, improve outcomes and drive innovation.

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ready-to-use real-world data

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100% GDPR Compliant

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High-Quality Real-World Data

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OMOP CDM Standarization

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Double Quality Assurance Processes

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Data Governance & On-Premise Storage

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Seamless Multilingual Adaptation

Testimonials

The innovative and advanced technology that IOMED is developing has the potential to transform healthcare, making it more efficient and accessible.

Dr. Mats Sundgren

IHD European Institute

IOMED’s innovative technology offers a robust solution for unlocking the potential of unstructured clinical data, streamlining patient recruitment, and accelerating groundbreaking clinical research.

Dr. Martin Ingvar

Karolinska Institute

The collaboration with IOMED has allowed us to identify and diagnose patients who previously lacked a precise diagnosis, while ensuring data protection at all times, with all data remaining within the institution.

Dr. Roser Torra

Fundació Puigvert

Success Stories

Accelerating Rare Disease Diagnosis: A Patient Identification Project for Alport Syndrome.

Fundació Puigvert leads a multicentric study aiming to identify undiagnosed patients through AI-powered phenotyping and real-world data.

This study, led by Hospital Fundació Puigvert in collaboration with IOMED, harnessed the power of real-world data (RWD) and artificial intelligence (AI) to support earlier detection of HKDs like Alport Syndrome. By helping physicians find patients whose conditions might otherwise go unnoticed, the study opens the door to faster diagnosis and better care.

Artificial Intelligence for Identifying CAR-T Therapy Candidates Using Real-World Data

A pilot study by the spanish hematopoietic transplant and cellular therapy group (GETH-TC)

This pilot study, conducted by the Spanish Hematopoietic Transplant and Cellular Therapy Group (GETH-TC) in collaboration with IOMED, introduces an artificial intelligence (AI)-driven system using real-world data (RWD) to improve patient identification for CAR-T therapy, reducing missed candidates and accelerating treatment timelines

Optimizing Thyroid Cancer Research with Real-World Data and NLP: The NATI Study

Unlocking clinical insights through AI-powered data extraction from unstructured medical records.

The NATI study (NATural language in ThyroId cancer), aimed to provide an updated, real-world view of how thyroid cancer is diagnosed and managed in clinical practice by analyzing patient data from 4 Spanish hospitals.

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