Building a data-driven healthcare ecosystem

Healthcare challenges

Scalability and Data Integration

Handling large volumes of data and merging information from multiple sources and formats,demands the right data infrastructure and resources.

Interpretation and Standardization

The complexity and sheer volume of data can make its interpretation and application in clinical practice challenging.

Data Quality

The variability and lack of standardization can impact the utility of Real-World Data.

Privacy and Security

The secure management of sensitive data is an ongoing challenge.

We bring order to data
thanks to AI

IOMED emerges as the key ally in this endeavor, playing a pivotal role in structuring Real World Data (RWD) to bring order to the wealth of information available, ensuring its readiness for utilization. By effectively structuring, normalizing, and guaranteeing accessibility, we empower healthcare players to harness data for the betterment of healthcare.

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Benefits for the entire healthcare ecosystem

Healthcare Organizations

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Contract Research Organizations

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Life Science Companies

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Making the world's health data secure, accessible and usable

Privacy

IOMED can structure and standardize 100% anonymous data, through a double anonymization process.

Governance

Data is stored within each hospital, ensuring that the data is as secure as before the arrival of IOMED.

Security

IOMED complies with all GDPR regulations and has been validated by multiple Data Protection departments of Hospitals and Health Services.

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Success Stories

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What's new
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August 8, 2024

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

IOMED stands out as a leader in the field of clinical research through the development and application of artificial intelligence to enhance precision and efficiency in clinical trials.