With Yseop’s new Augmented Analyst release, we have made it easier than ever for customers to create and maintain their NLG data and reporting processes across life sciences and financial services. New automation packs specific to clinical study reports (CSR) and credit risk give users the ability to manage their end-to-end report automation workflows autonomously.
By automating key components of regulatory reports, Yseop reduces writing time by an average of 40%, allowing users to prioritize and focus on more critical analysis within reports. Below, we have summarized new features and automation pack upgrades.
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Upgrades for Life Sciences
For the first time, users will now be able to create a clinical study report (CSR) on the Augmented Analyst platform, with no technical expertise required. Yseop is now offering an out-of-the-box, no-code Studio with the ability to configure and filter based on custom requirements. This type of flexibility is unmatched in the market, and we are proud to offer such powerful capabilities for life sciences clients.
Within this automation pack, medical writers can automate the production of specific portions of the clinical study report (CSR), including safety and study participant sections. Conveniently, the pack has a preconfigured report model, ontology, and intentions specific to CSR. The update allows for immediate drafting of CSRs once testing databases have been locked, taking the functionality even one step further.
Example: Users can now automate the production of specific parts of the CSR, including safety and study participant sections getting to a first draft of the CSR 30-40% faster.
Other features of the release for life science users include:
Leverage multiple datasets to generate a single Clinical Study Report (CSR)
For Patient Narratives, switch alert displays on or off depending on user preference
Added power of new APIs to integrate Augmented Analyst with other authoring tools
Example: Multiple dataset feature when configuring a CSR in Studio. This allows users to easily automate and produce sections of the CSR that rely on multiple datasets in one document.
Upgrades for Financial Services
For finance NLG users, Yseop’s new automation packs give analysts the freedom to leverage features specific to credit risk, including a preconfigured report model, ontology, and intentions. Conveniently and for additional flexibility, finance teams can easily also import data exported from Alteryx.
Example: Credit Risk analysis report model
Sign up for our webinar on March 24th with Docuvera, at 11AM EDT as we discuss how pharmaceutical companies are leveraging AI and technology best practices to expedite their new drug approval processes.