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SPEDA Secures $1.35M Grant to Revolutionize Automated Data Transfer in Clinical Research

SPEDA

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We are thrilled to announce that SPEDA has successfully raised $1,347,000 in its latest funding round, marking a significant milestone for a company dedicated to revolutionizing clinical research data management.

SPEDA confronts a longstanding challenge in the research community: the laborious, error-prone, and resource-intensive process of manually extracting patient data from electronic medical records.

Despite these records being essential for clinical research, the systems that manage them rarely communicate with the IT solutions used in research, leading to costly inefficiencies and potential data inaccuracies.

SPEDA’s innovative solution automates the extraction and transfer of patient data to research platforms such as REDCap and OpenClinica without requiring deep integration with electronic record systems.

This breakthrough technology not only streamlines the data handling process but also enhances data security and reliability, ensuring that clinical research can be conducted faster and more safely.

The newly raised funds will be invested in further developing SPEDA’s platform, expanding its capabilities, and refining its seamless integration methods to continuously transfer data as research projects progress.

By doing so, the company is poised to empower research teams to concentrate their valuable time and resources on advancing medical discoveries rather than on tedious data management tasks.

Ultimately, SPEDA’s vision is to create a robust and dynamic platform where researchers can effortlessly select and retrieve the data they need, paving the way for more efficient and groundbreaking clinical research.

This funding announcement not only validates SPEDA’s innovative approach but also sets the stage for a future where data extraction challenges are a thing of the past.

Buying Signals & Intent

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Data Security Services
Healthcare Software Development
EHR Integration Tools
Research Collaboration Platforms
Clinical Data Analysis Services

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