Typically, we deploy infrastructure to new clients and deliver production data in the UI within weeks from contracting

Yes, we routinely deploy during ongoing studies.

We’ve purpose-built the QuartzBio platform with the recognition and deep appreciation for the complexity and inconsistency of data. Our platform is source system- and format-agnostic. We do not enforce rigid data specifications that require vendors to change how they provide data.

With this in mind, we can also integrate data for studies that have already been completed.

The most common way that we engage with vendors is being added as a third party to an existing data transfer agreement between the vendor and the sponsor. We also frequently receive data uploads directly to the platform from sponsor teams.

We have the capability to integrate with APIs, though vendors don’t always have them available. With our breadth of experience, teams are often pleased to learn that QuartzBio is already working with their vendors.

QuartzBio is also flexible and open to aligning with existing processes and capabilities that sponsors have in place.

Yes. Not only can the platform integrate data across multiple studies, but it can also integrate historical data and publicly available datasets.

The key to this capability is QuartzBio’s standardized data model, which encompasses a variety of data elements covering subject and sample metadata as well as the variety of assay technology-specific metadata and reportables. However, the data model is flexible and can be amended to incorporate various additional data elements based on sponsor needs. This is usually supported by QuartzBio’s Professional Services team during the setup phase in collaboration with the sponsor.

Data is refreshed on an ongoing basis as results data becomes available. Frequency is largely dependent on the needs of the client/sponsor.

No, it’s not necessary to wait until database lock. With the vSIM solution, data are integrated continuously throughout the life of a study. This approach is designed to be implemented before database lock, and discrepancies are highlighted as data is refreshed.

When updates are made in the source system, the discrepancies will be automatically resolved in the platform. With this approach, everyone on the sponsor and CRO teams can work from a common single source of truth – and they can confirm that source systems are updated appropriately. This dramatically reduces the burden of tracking discrepancies. ​

Reconciliation efforts typically have large gaps for sample information that is critical for sponsor teams. These gaps are often related to central labs being focused on reconciling samples they receive back to the requisition form or EDC.  Gaps in this process include the ability to report in a timely manner on missed collections, unexpected samples, and the status of samples and derivatives as they move onto third-party testing labs. ​

In order to create a holistic view of samples on-study, QuartzBio pulls information together from the EDC, and each lab and biorepository. We also incorporate the sample schedule from the protocol, including changes to the protocol as new patients are enrolled and as the protocol is amended.​

The answer is, universally, yes. Our team has deployed this solution on hundreds of studies, and this solution is not limited to a specific list of vendors. We have experience with inventory data from most of the active CROs, EDCs, central labs, and specialty vendors – this even includes data from academic labs, which can be particularly challenging.​

Central to our approach is that our team and solutions are flexible. If your trial involves a vendor we haven’t worked with before, it is straightforward to set up a data ingestion pipeline for a new data source. This is a process that takes weeks, not years, so it can be deployed even on active studies.

QuartzBio Virtual Assistant FAQs

  • QuartzBio’s Virtual Assistant allows users to conversationally interact with data to rapidly generate reports or insights that drive decisions. Rather than referencing multiple spreadsheets or spending hours interrogating data sets, users can simply type their question into the Virtual Assistant, which will extract data from within a study or across studies of a sponsor’s portfolio to deliver information in seconds. 
  • The Virtual Assistant’s capabilities demonstrated here, providing AI-enabled Business Intelligence for vSIM, are just the beginning. Connect with a team member to learn more about future capabilities.
  • Make smarter decisions, faster by creating a business-friendly “data dialogue”.
  • Proactively detect anomalies, uncover novel insights and act on trends with real-time metrics at your fingertips.
  • Use natural language to empower teams with varying levels of data expertise
  • Leverage platform to create reproducibility, scalability and consistency of insights at the speed of decisioning.
  • Create metric-driven dashboards based on data dialogue to enable workflows such as study and vendor monitoring

The Virtual Assistant for the virtual Sample Inventory Management (vSIM) solution is available. It will be available for the enterprise Biomarker Data Management (eBDM) solution in Q3/4 2024. Visit our Webinars & Events page to sign up for and watch a demo of the Virtual Assistant for eBDM.

  • Integration of generative AI into QuartzBio products and the Virtual Assistant specifically follows our software development lifecycle (SDLC) processes, which includes validation of any front-end and back-end capabilities as well as validation of AI models
  • Part of our implementation approach is to (1) build a foundational model for the domain specific use cases of our platform using a broad range of simulated sample and biomarker data (including training on industry and vendor terminology to understand the key metrics, statuses, and questions our clients use), (2) fine-tune the GAI model for a specific sponsor based on their data characteristics and (3) perform model validation by comparing answers received via the Virtual Assistant against the known truth. This validation is possible because the Virtual Assistant operates directly on the data captured in the underlying database (e.g., Master Sample Inventory).
  • QuartzBio holds itself to the highest standards for data security and privacy and thus is committed to ensuring any AI enablement complies with these standards.
  • All AI models are running within QuartzBio-controlled, monitored, and secured infrastructure, and no data is leaving this controlled environment.
  • QuartzBio is not using OpenAI’s public APIs and no data is shared to train publicly available LLMs.

You can contact sales@precisionformedicine.com and we’ll walk you through the complete offering and pricing details.

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