We enable clinical trial flexibility.
The complexity of today’s trials is inadequately supported by traditional IRT and supply optimization systems. Our solutions utilize Natural Language Processing (NLP) to enable truly flexible clinical trials. This ensures more time can be spent on running your trials to ultimately bring crucial medicines to patients faster.
100% Configurable RTSM Solutions
4G Clinical’s randomization and trial supply management solutions bring flexibility and efficiency to clinical trials while offering exceptional quality and performance.
Prancer RTSM®
Our flexible RTSM supports any type of trial with robust features, functionality and modern user-interfaces.
Learn More- React to system design before spec sign-off
- Configurability enables flexibility for mid-study changes
- Fully integrated and intuitive forecasting engine
- User interfaces replete with on-screen guidance
Available Prancer RTSM® Configurations
Prancer RTSM® Lite
Ideal for early-phase or simple design studies, Prancer RTSM® Lite provides an affordable, less error-prone solution.
- Improved reporting and oversight
- Essential functionality only
- Faster build timelines
- Ability to transition to a full RTSM
Prancer RTSM® Platform
Ideal for managing Investigator Sponsored Trial (IST) supply, Prancer RTSM® Platform provides automated processes for increased inventory transparency and accuracy.
- Avoid wasted supply
- Enable drug pooling
- Self-service addition of new protocols
- Effectively manage inventory for hundreds of ISTs
Prancer RTSM® Rand-Only
Ideal for randomization only studies, Prancer RTSMⓇ Rand-Only manages simplified patient tracking.
- Track patients and cohorts
- Can be built in days, not weeks
- Allows for simple integrations with tools you already use
- Perfect for blinded studies with unblinded pharmacists or open label studies with limited dosing visits
Historically we needed six months from a final protocol to be ready for our first subject. With 4G Clinical, we reduce that process by half, so we can start recruitment earlier.
Clinical Trial Supply Manager, Pharmaceutical Company,
Source: Commissioned study conducted by Forrester Consulting on behalf of 4G Clinical, 2021.
Advanced Clinical Supply Optimization
Clinical supply managers face increasing pressures to minimize waste and avoid stock-out as study complexity continues to rise. 4C SupplyⓇ helps supply managers surface risk within the supply chain, project patient demand, model scenarios, and adapt to protocol amendments, as well as leverage powerful reporting to communicate those impacts within the organization.
What makes our solutions different?
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Prancer RTSM®
See the system early and often.
Iterate on your RTSM build starting at kick-off. Approve the system alongside dramatically shorter specifications.
Never miss an FPI.
Keep your RTSM off the critical path. Leverage modern technology to deliver high-quality systems that meet your timelines.
Make changes with ease.
Flexibility is built into the system itself. Execute faster mid-study configuration changes without disruption to your study.
Minimize supply waste with confidence.
Control your clinical supplies without a degree in statistics. Confidently explore resupply scenarios and account for both predictable and unpredictable demand.
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4C Supply®
Surface risk within the supply chain.
Knowing when, where and why a patient may discontinue treatment ahead of time allows you to proactively adjust your strategy.
Account for patient demand.
Predicting demand across programs at the kit- or product-level can help inform production plans with distribution and packaging vendors.
Assess impact of trial decisions.
Model as many “what-if” scenarios as needed to inform downstream impact on the supply chain.
Verify inputs against outputs.
Communicate more effectively with internal stakeholders by leveraging powerful visualizations that verify assumptions and expectations in the supply chain.
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Joint Solution
Compare actuals from any IRT/RTSM.
Dynamically adjust the forecast as studies progress by incorporating real-time study data from the RTSM.
Assess the impact of protocol amendments
Prior to signature and go-live in the RTSM, supply managers can use scenario modeling to forecast and project potential impacts of amendments on enrollment and supply.
Forecast changes in production planning and distribution.
Ensure you never run out of drug by reforecasting at the production and distribution level.
Combine short-term and long-term planning for end-to-end supply forecasting.
From a single study to the portfolio level, achieve a holistic view of the overall supply chain.
See the system early and often.
Iterate on your RTSM build starting at kick-off. Approve the system alongside dramatically shorter specifications.
Never miss an FPI.
Keep your RTSM off the critical path. Leverage modern technology to deliver high-quality systems that meet your timelines.
Make changes with ease.
Flexibility is built into the system itself. Execute faster mid-study configuration changes without disruption to your study.
Minimize supply waste with confidence.
Control your clinical supplies without a degree in statistics. Confidently explore resupply scenarios and account for both predictable and unpredictable demand.
Surface risk within the supply chain.
Knowing when, where and why a patient may discontinue treatment ahead of time allows you to proactively adjust your strategy.
Account for patient demand.
Predicting demand across programs at the kit- or product-level can help inform production plans with distribution and packaging vendors.
Assess impact of trial decisions.
Model as many “what-if” scenarios as needed to inform downstream impact on the supply chain.
Verify inputs against outputs.
Communicate more effectively with internal stakeholders by leveraging powerful visualizations that verify assumptions and expectations in the supply chain.
Compare actuals from any IRT/RTSM.
Dynamically adjust the forecast as studies progress by incorporating real-time study data from the RTSM.
Assess the impact of protocol amendments
Prior to signature and go-live in the RTSM, supply managers can use scenario modeling to forecast and project potential impacts of amendments on enrollment and supply.
Forecast changes in production planning and distribution.
Ensure you never run out of drug by reforecasting at the production and distribution level.
Combine short-term and long-term planning for end-to-end supply forecasting.
From a single study to the portfolio level, achieve a holistic view of the overall supply chain.