Clinical Systems Enterprise Integration

Key Features

Enter data only once
  • It is ideal to have data entered just once and populating other systems programmatically. Fresh Gravity’s Clinical Systems Integration Solutions enables you to do so, thereby, minimizing duplication of effort and elimination of conflicting information.
Seamless data sharing across the enterprise
  • Enterprises in the life sciences space have multiple, siloed sources of information and data that are often globally dispersed. By integrating all the data into a single source of truth, Fresh Gravity’s Clinical Systems-Enterprise Integration Solutions and services enable you to break silos and seamlessly share data across the enterprise between common process and cross-functional teams.
Critical information flow in real-time for well-informed decisions
  • Seamless data sharing between different clinical systems and accelerated flow of information to key stakeholders in real time within the enterprise enables faster, agile, effective and well-informed decision.
Elimination of inefficiencies, wastages and leakages
  • The Clinical Systems-Enterprise Integration solutions and services enable organizations, sponsors and other stakeholders in clinical processes to reduce drudgery and duplication of efforts, eliminate task and data redundancies, minimize costs, wastages and process leakages.

Fresh Gravity Opens New Office in Kolkata, India.

Pune, India – Fresh Gravity announced today the opening of a new office in Kolkata. The decision to open a new office was driven by Fresh Gravity’s fast-paced growth and increase in employee strength across its geographies. Alongside their existing India offices located in Pune and Bengaluru, the Kolkata office will provide a home base […]


Why You Need a Metadata-driven Data Integration Framework

In today’s world, IT Professionals and business stakeholders alike know that data is the most valuable asset for organizations. To manage that asset efficiently, organizations are adopting a modern data stack. Once they adopt the Modern Data Stack to democratize the creation, processing, and analysis of data, they need a reliable and efficient data integration […]