Clinical study data synchronization platform – Human-centered data analytics company (2024)

Now we are working on a clinical study data synchronization portal requested by a clinical trial company for exporting data from their internal eClinical source system to sponsor platforms. The solution is designed to:

• automate transfer of patient visit data by synchronizing it across two systems,
• and reduce human-made errors by avoiding the need for double data entry,

a medical research company

to accelerate clinical research timeline

a pharmaceutical company

to bring new medications to the market faster

Project background

The customer is a clinical trial company that conducts research on the effectiveness and safety of study drugs. They collect patient visit details gathered from feedback, questionnaires, and various clinical assessments, which are then manually entered into two data systems for further research, reporting, and trial outcome analysis usage.

These data source and target systems are for initial data capture and for comprehensive data management and regulatory reporting, accordingly. The whole process is required by the client’s sponsor, a pharmaceutical company, for regulatory compliance purposes.

Challenge

However, there is an issue with manual double data entry, which creates inefficiencies in the workflow, results in increased workload, a risk of human error, and delayed data processing. That’s why an automated data synchronization solution is needed to streamline the clinical trial data input process and enhance overall productivity in managing the said data.

Python

AWS

Increased efficiency

By eliminating the need for manual data entry, significant time savings and a reduction in human errors are anticipated. This streamlined process allows research teams to focus more on critical tasks related to delivering high-quality research results and improving their effectiveness.

Improved data accuracy

Automation minimizes the risk of data entry errors, ensuring the integrity and accuracy of information transferred between systems. This accuracy is crucial for maintaining the quality and reliability of clinical research data, ultimately leading to more robust study outcomes and conclusions.

Faster study timelines

Researchers will have access to updated study data, enabling them to make timely decisions and adjustments as needed. Expecteddata transfer to provider’s sites up to 30 min of availability in thesource system expedites the research process, from data collection to analysis.

Better resource utilization

By cutting manual data entry and transfer workload, the client will be able to allocate resources more efficiently. Researchers and coordinators can redirect their efforts towards higher-value tasks, such as patient recruitment, protocol development, and data interpretation.

Scalability and flexibility

The solution being implemented is designed to accommodate future growth and changes in research needs. It will be possible to integrate new sponsor provider systems, expand study portfolios, and adapt to evolving data management requirements upon the client’s request in the future.

Our portal is suitable for clinical research organizations, pharmaceutical companies, healthcare providers, biotech companies, and other medical institutions, seeking to achieve faster and more accurate data management, interoperability, governance, and streamline the overall workflow.

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