Sponsors encounter numerous challenges in clinical trial management. Data dispersion across various channels and systems, including administrative platforms (e.g., CTMS), hospital EHRs, and unstructured public sources, results in fragmented information. This hinders efficient decision-making, causes delays in protocol adjustments, and ultimately extends trial durations, contributing to increased costs and decreased overall trial efficiency.
TrialNet leverages generative AI in clinical trials, unlocking data-driven insights. Its robust data integration capabilities ensure continuous monitoring and alerts, guaranteeing trial progress and data quality. By providing a comprehensive view of trial progress, TrialNet empowers sponsors to optimize operations for the highest quality outcomes. When used in conjunction with our CapTrial solution, sponsors can make informed decisions based on real-time data.
Our advanced AI algorithms proactively identify and mitigate risks in real time. By applying AI models to risk assessment, TrialNet transforms trials from reactive to predictive, offering recommendations, minimizing unforeseen complications, and enabling timely protocol amendments.
Empowering sponsors to overcome challenges, from data silos to reactive risk assessment, TrialNet leads the forefront of generative AI in clinical trials. Our transformative solution accelerates timelines, enhances patient safety, and enables adaptive clinical trials through empowered, data-driven decision-making.Contact us
Establish real-time data connections with other solutions from our portfolio or third-party vendors, ensuring seamless integration across administrative, clinical, and public sources.
Enhance efficiency and shorten trial durations by leveraging AI models and historical data to reduce the time-to-insights.
Amend protocols on time to avoid delays, leveraging models trained on past experience in equivalent trials and receiving real-time data through the CapTrial connection.
Gain comprehensive market insights, understand competition, and identify Key Opinion Leaders (KOLs) to enhance decision-making and strategic planning, ensuring the success of your clinical trials.
Employ advanced AI algorithms to assess risks in real time, considering both internal and external data. Enable proactive mitigation strategies to enhance trial safety and efficiency.
Monitor trial progress and data quality in real time, explore trends, and receive alerts and insights for timely decision-making.
Ensure adherence to industry standards and regulatory requirements, simplifying compliance reporting and documentation processes.
Centralize all data in one location by utilizing products from our suite or integrating equivalent third-party systems via API.
TrialNet features a comprehensive market database containing information about oncological clinical trials worldwide. This data is updated daily and presented in an interactive dashboard for easy access.
Monitor trial progress, KPIs and data quality in real time, receive alerts and insights for timely decision-making. Use visualizations for in-depth analysis.
Integrate AI models to assess risks in real time, predict deviations, and derive actionable insights from diverse data sources.
Visualize all data and risk probabilities influencing a clinical trial, with risk calculations based on data from each trial and the current market situation.
Virtual private cloud-based hosting to ensure data isolation, and segmentation. This allows customers to have their data in the most appropriate geographical region.
Robust and scalable database management system to efficiently handle large volumes of trial data. It supports data storage, retrieval, and querying capabilities to enable efficient data management and analysis.
Strong security measures are in place to ensure the confidentiality and integrity of patient information. This includes encryption of data transmission, user authentication, access controls, and adherence to data privacy regulations such as HIPAA or GDPR.
The system meticulously tracks all changes in data and configurations, offering detailed information on timestamps and the user responsible for a specific action. This feature enables the thorough tracing of the entire sequence of events leading to a particular action.
Designed to handle the increasing volume of data and user load as the organization’s trial portfolio grows. Resources are automatically scaled based on usage to accommodate multiple trials, patients, and users while maintaining optimal performance.
SaaS (software as a service) solution which provides hassle-free set-up process. Updates and patches are automatically deployed. It is compatible with macOS, Windows and chromium-based web browsers (Edge and Chrome).
We are dedicated to supporting you during the implementation process and seamlessly integrating TrialNet with your existing systems. Additionally, we provide comprehensive training, tailored to empower you and your team with the knowledge and skills needed to unlock the full potential of TrialNet for your daily operations.
For ongoing support, a customer-specific portal ensures 24/7 access to technical assistance, guided by a dedicated key account manager. Our support system encourages the creation of support tickets to log and track issues systematically, streamlining efficient follow-up and resolution.
To stay current and in compliance with industry standards and regulatory requirements, we regularly conduct scheduled software updates. These updates encompass new features, enhanced functionalities, and security improvements, ensuring our system remains up-to-date and aligned with the latest industry benchmarks.
Science4Tech is a ISO 27001 certified company.
All our software is designed, build tested and maintained according to GAMP5 guidelines and security development practices. It complies to industry standards and regulatory requirements, such as Good Clinical Practice (GCP) guidelines, FDA regulations for electronic records and signatures (21 CFR Part 11), Health Insurance Portability and Accountability Act (HIPAA) and EU data protection (GDPR).
Each customer has a virtual private cloud (VPC) in a specific geografic region to comply with regional requirements, with network security controls including firewalls, encription and strict security policies to ensure compliance and prevent unauthorised access.
It supports features that facilitate compliance, such as audit trails, access controls and data validation checks. Traceability to the raw data is kept all the time and all the data structured by AI models contains an explanation of the interpretation and includes the reference in the raw data.
Each new release is notified to the customer and vulnerability assessments are performed to address potential vulnerabilities proactively. Our in-house compliance team supports audits and provides guidelines about how to validate software to be used in compliant environments.