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Clinical Trial Data Management Platform: Modernized System and Enhanced Performance

Clinical Data Management

Clinical Trial Data Management Platform: Modernized System and Enhanced Performance

Timspark migrated a clinical data management system populated with health and research records from the cloud to a new code-based platform. We revamped the platform’s architecture and handled ongoing support for the solution.

#Cloud
#Healthcare

#DataManagement

Client*

The client is a global leader in developing pioneering healthtech solutions focused on driving innovative data management in clinical trials and the industry as a whole.

*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Project in numbers

duration
Ongoing since 2016
team
3 specialists

The team involved in the project

industry
Healthcare
solution
Clinical Trial Data Management Platform
technologies
Azure, JavaScript, JQuery, Net 4.6
specialists
3 x Full-stack Developers
hire the team

Challenge

The main goal was to upgrade the outdated platform, turning the traditional e-data fetching solution into advanced software for clinical trial data management. Additionally, the client aimed to bolster the clinical data management software’s security capabilities by introducing HIPAA and GDPR compliance features.

Related objectives

System modernization
Clinical data management upgrade
Security and compliance improvement

Solution & functionality

Timspark revitalized the customer’s outdated clinical trial data management software by modernizing the solution’s architecture to eliminate technical debt, introducing new features, and transitioning to a new code platform.

Data collection

The primary function of the clinical data management system is to gather data concerning clinical trials for subsequent integration, management, analysis, and finding correlations. This solution supports the entire research process cycle and offers users advanced reporting capabilities.

Data management

The data-centric software for clinical trials is tailored for diverse medical organizations, aiming to digitize their internal processes. These organizations encompass medical labs, medical device manufacturers, pharmaceutical and biotech institutions, and contract research organizations (CROs).

Results and business value

After completing the project’s active phase, involving an update to the solution architecture, code migration, and expansion of functional capabilities, the old platform has evolved into cutting-edge clinical data management software. It is entirely HIPAA- and GDPR-compliant.

Higher performance

We’ve enhanced the system’s performance, stability, and usability, elevating its appeal for data management in clinical trials across the market.

Long-term vision

Given the resounding success during our collaboration in the active project phase, our IT specialists seamlessly transitioned to providing long-term support for the solution.

Benefits for client

The client highlighted the exceptional skills of our full-stack developers. The company has finally found a partner that is both technically and regulatory savvy, as well as a good communicator.

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We appreciate your interest in Timspark

    Migrating a non-scalable corporate system to a cloud-based solution

    Cloud migration service

    Migrating a Non-Scalable Corporate System to a Cloud-Based Solution

    Our team launched a cloud migration solution that enabled the company to streamline data analytics and automation within its corporate platform.

    #Cloud

    #DataManagement

    #DevOps

    Client*

    Large e-commerce platform specializing in clothing, equipment, and accessories. 

    *We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

    Project in numbers

    duration

    7 months

    team

    14 specialists

    Team involved in the project

    industry

    E-Commerce

    product

    Cloud migration platform

    technologies

    Azure Data Factory, SSAS, Azure DevOps, Power BI, Salesforce Cloud, Python, Scala, SQL

    1 x Team Lead

    1 x Solution Architect

    6 x Data Engineers

    4 x Business Intelligence Developers

    1 x Business Analyst

    1 x Project Manager

    HIRE THE TEAM

    Challenge

    The major objective for the team was to migrate the customer’s corporate system to a cloud-based Power BI solution, and thus enhance its scalability and automation.

    Related objectives

    Reliable data storage

    Enhanced functionality for analytics

    Streamlined business procedures

    Solution & functionality

    The team moved the on-site platform to the cloud, constructed data repositories and refined analytics dashboards.

    Curated databases

    The initial challenge was the substantial amount of scattered data to migrate, some of which came with numerous discrepancies and some as part of unclean datasets. However, the team managed to make the transfer process as smooth as possible.

    To address the problem, our tech specialists created data marts (data storage systems specific to the organization’s business units): Operative, Employee Management, Financial, Supply Chain, and E-commerce. Data can be transferred here from various origins such as internal APIs, Salesforce, and Google Analytics, then converted and stored in the ultimate data storage.

    Full-cycle automation

    The team has successfully organized all data from various sources to be accessible within the Power BI platform, Despite challenges like data inconsistency and peculiarities in data representation. We implemented end-to-end workflow automation integrating all processes with data, such as extraction, mapping, filtering, as well as the creation of data marts and dashboards.

    Enhanced analytics dashboards

    With the existing cloud solution, the data is securely stored and automatically updated daily. Users can view all the selected data of internal processes, personnel administration, financial, supply chain operations, and marketing activities on customizable dashboards. Additionally, they can tailor how the data is displayed per their requirements. As a result, the end customer gains the basis for timely and data-driven decisions.

    Results and business value

    We have developed a reliable automated system with maximum code cleanliness and highly robust clusters for multiple data operations. The solution as a whole enables more resilience for the company and more effective data-driven decisions.

    Real-time data synchronization

    Information on products, their specifications and availability from the e-commerce platform and the internal system is being aligned and updated on a real-time basis.

    Visualization via dynamic dashboards

    The customer can analyze events inside the customer’s journey, from their initial website visit to the purchase (with data from Google Analytics and Salesforce), and prepare more customized campaigns based on their behavior.

    Improved delivery process

    The delivery process became more streamlined at all stages, on both the retailer’s and the customer’s sides.

    Benefits for client

    The team got positive feedback from both the customer and the end-user on the exceptional standard of development and efficiency of the app, as well as the effective communication throughout the project.

    Related cases

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    We appreciate your interest in Timspark

      Let’s build something great together

        Let’s build something great together

          Let’s build something great together