AI and its Role in Faster MLR Review
The need for increasing amounts of content across more channels means it cannot be managed manually. The surge in content creation is straining resources (reviewer capacity) while pressure mounts to do more with less–and do it faster.
There are basic government requirements that apply to all promotional materials, regardless of how the information is conveyed. Inconsistencies in the quality of promotional content submitted for review remain an obstacle to efficiency, add cost and limit the agility and speed of executing the marketing strategy.
Innovative companies are exploring the utilization of AI for prechecking content pre-MLR submission to ensure it is accurate, on-brand, and compliant with business standards. Review-ready materials that are prechecked for errors expedite MLR and reduce the number of rounds needed for approval. Quality materials also free up reviewers to address the complex compliance requirements for the pharma industry.
SecureCHEK AI empowers marketers and reviewers to focus on strategy rather than spend time on fixing non-compliant marketing content. The AI powered software uses machine learning, natural language processing and GPT to absorb, dissect, and understand already approved content including text, images and graphs specific to brands and target audiences. Then, SecureCHEK AI prechecks new content against the master library to compare new messaging to approved library phrases. Users get immediate feedback and reporting of content as compared to approved promotional content for each brand and customer channel.
Over a year, agencies and reviewers can spend thousands of hours reading documents for errors, correcting them, and then revising the same documents. It can take 30 minutes to read one Important Safety Information which cannot contain a single error.
With SecureCHEK AI, all content creators and reviewers have access to current approved messages for each brand and target audience for branded and unbranded campaigns.
Using the software:
There is an easy way to pinpoint the differences between approved phrases and phrases which have been altered or changed
The history of approved and rejected phrases are available in a database to avoid revisiting already approved content
There is confirmation that the asset includes required disclaimers, annotations, references, and other qualifying statements for each promotional claim.
There is a process to compare core (parent) materials against derivative (child) materials created from previously approved content.
Given the need to do more with less resources, companies cannot just bring on more personnel or throw other resources at it. Technology is needed to support the team to allow them to manage larger volumes of work while still maintaining the highest quality and focusing on the most important issues.
About SecureCHEK AI
SecureCHEK AI is a Software-as-a-Service (SaaS) system that seamlessly integrates with enterprise platforms to enhance MLR efficiency. Purpose-built for pharmaceutical and medical device companies, the software helps MLR reviewers efficiently assess and mitigate compliance risks and reduce comments and re-reviews.
As the first Analytical AI software solution for pre-MLR use in life sciences, SecureCHEK AI leads the way in integrating Analytical AI with GenAI to reduce rounds of review and review time per document. Rapid deployment and the user-friendly interface minimize the learning curve, making it easy to get started.
Contact us for a demo of the Veeva integration to learn how SecureCHEK AI builds libraries and executes prechecking within PromoMats.