SAS

SAS understands data by consolidating its smart inquiry, data access, and information joining technologies with intuitive visual analytics. This enables clients to efficiently predict, anticipate, and respond to risks in real-time.

Our solutions have a broad and varied application: We offer specialized, tuned solutions for the Public Security market, including integrated and tailored intelligence management systems and full end-to-end data management solutions for enterprises.

As government agencies and private industries face similar challenges and seek to build their in-house intelligence management systems, we’ve expanded our core expertise in intelligence and cutting-edge analytics technologies into these sectors.

The increasing role of a dedicated Clinical Research Organization (CRO) in addressing clinical data requirements has led us to adapt and innovate in these areas as well.

We apply our understanding of data systems throughout the pharmaceutical industry to build data bridges that generate new value from existing resources. Our advanced technical expertise and the Clinical Data Management System (CDMS) solution make us the preferred partner to assist your company in completing a robust, documented CDMS implementation and integration.

Clinical Data Management Services

At Indo Fybron, our clinical data management and consultancy services are dedicated to providing you with the data analysis, regulatory support, and reporting requirements necessary for success. Our clinical data management services focus on optimal therapeutic plans, client support, and tailored data analysis, with a collaborative effort between our profile analysts and medical experts.

Key Areas of Focus:

• Study Design: In-depth understanding of study sites, clinical design issues, and enhanced quality control measures.
• Quality and Deadline Adherence: Ensuring the highest quality of data and adherence to expected deadlines.
• Pharmacokinetics and Pharmacodynamics: Analysis of clinical trials including dynamic assessments and therapeutic equivalency testing.

Only through a comprehensive understanding of clinical trial objectives and quality assurance processes can we achieve the highest standards in data management.