Our Technology
We activate healthcare data.
Healthcare data activation technology
Our healthcare data activation technology leverages the power of Artificial Intelligence to unlock healthcare data from hospitals' structured and unstructured sources,  including human-written records, thanks to our Natural Language Processing System. All data is standardized into OMOP Common Data Model , and never leaves hospitals' in-house systems, thanks to our Federated Data Model.
AI-powered technology for healthcare data activation.
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Automated terminology mapping
ATM
Mapping and standardizing structured data to OMOP CDM
Through our advanced technology, we can automate the mapping of structured hospital data and standardize it into the OMOP Common Data Model through leveraging vector representations of source code descriptions.
CODE description vectorization
vector search application
clinical validation & Verification
Updated omop registers
natural language processing
nlp
Structuring and standardizing clinical notes to OMOP CDM
Through our Natural Language Processing Systems we can structure entities from human free-text inputs from clinical notes and extract relevant information contextually, standardizing it into OMOP CDM. It's not just about keyword extraction, it's about a deep understanding of the information.
Named Entity Recognition
Named Entity Linking
Entity Context Identification
Entity Relation Identification
quality assurance
qa
Double Quality Assurance to ensure high quality of data
Quality Assurance is a key factor in ensuring the accuracy, reliability, and performance of our technology. ​We have expert physicians who compared the results extracted by our technology against the original source of data to obtain quality metrics, and we test the consistency and coherence of extracted data with statistical methods.
Data Verification: Expert annotators
Data Validation: Clinical tests
Federated Data Model
DB
Ensuring security and protection of Healthcare Data
Our Federated Data Model allows healthcare organizations to leverage the potential of Real-World Data while maintaining the highest level of data protection and security.
Distributed SQL
Data Residency
Multi-model
High Resiliency
KEY ROLE AT
CERTIFIED COMPANY BY
We are Data Space Mediators
contributing to the creation of a health data space by enhancing data accessibility and utility 
for research & clinical decision-making.

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Data Depth
Information Understanding
Our technology understands temporal nuances, negation, and complexities in clinical data, providing unique contextual depth for detailed and meaningful analyses.
Data Quality
Expert Annotators & Clinical Validation
We verify data by physicians and statistical tests, to validate the consistency and coherence of extracted data, guaranteeing data meets high standards, reliability and precision.
Data Availability
Federated Data Netowork
Significant time saving by leveraging our extensive data federation network, composed of hospitals which already have all its data structured and normalized.
Analytical Efficiency
Standardized OHDSI tools
IOMED adopts the European standard OMOP CDM, to enhance data interoperability, and facilitating to leverage OHDSI's extensive tools for enhanced analytical efficiency.
High-quality real-world data for clinical research.

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REAL-WORLD DATA READY TO USE
[01]
100% GDPR Compliant
[02]
High-Quality Real-World Data
[03]
OMOP CDM Standarization
[04]
Double Quality Assurance Processes
[05]
Data Governance & On-Premise Storage
[06]
Seamless Multilingual Adaptation
Peer-reviewed scientific journals publications
10/2024
Lung Cancer
An Evidence-Driven Approach to Optimizing Clinical, Operational, And Economic Value in the Lung Cancer Care Pathway.

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09/2024
Integrations
Integrating NLP-derived results in the OMOP CDM

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09/2024
ATLAS
Patient-Level Data Export from OMOP Database Using ATLAS Cohort Definitions

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What´s New?
IOMED contributes to the European Health Data Space goals

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IOMED obtains ISO 9001:2015 certification, reaffirming its commitment to quality

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Transforming Clinical Research with IOMED: Depth and Efficiency in Real-World Data (RWD)

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What´s New?