5 Steps For Successful AI Pilots To Increase MLR Efficiency

If you have decided to focus your AI pilot on increasing MLR efficiency, there are five smart steps to ensure success:

1. Feel Confident That MLR Review Delivers on the 80/20 Rule

The 80/20 rule (also known as the Pareto Principle) states that roughly 20% of efforts drive 80% of the results. In the context of AI, this means that a small subset of use cases will drive measurable business value for an organization. MLR efficiency is an excellent use case because it represents a big pain point in business today. Speeding up review can deliver genuine business impact because this use case aligns directly with revenue growth (speed to market) and cost reduction (fewer review cycles).

2. Know That Not All AI Is Created Equal

As you begin to evaluate software companies, make sure that their solutions do not rely solely on generative AI (GenAI) for content checking. GenAI alone may miss critical errors or invent information. Avoid the risk of hallucinations by using tools like SecureCHEK AI, which combines GenAI with Analytical AI to catch unsubstantiated claims, reference errors, and ISI formatting issues with superior accuracy.

3. Work With A Vendor That is Security Savvy

Before moving forward with any AI partner, confirm their security credentials and privacy protocols. In heavily regulated industries like pharma and MedTech, trusting your data to a secure platform is not optional, it’s essential. SecureCHEK AI is SOC 2 Type II certified and as your technology partner, we will confidently navigate through your company’s security protocols.

4. Start by Building a Centralized Claims Library

Libraries are the foundation for increasing MLR efficiency by enabling all stakeholders to work from a validated always-current, compliant ‘source of truth.’ Libraries are important for prechecking new materials to eliminate nuisance errors and claims deviations;  enable quicker linking and anchoring of references; and driving more accurate content creation through GenAI queries. SecureCHEK AI builds claims libraries in hours and ensures they are current through our integration with Veeva and Aprimo.

5. Align AI with Clear Business Goals

Whether you want to free up legal and editorial time, improve agency efficiency, or boost coordinator productivity, find a vendor that has executed on your desired business goals. Ask for case studies that can be used to extrapolate potential benefits for your own company. SecureCHEK AI offers an uncomplicated way to evaluate the software’s potential impact on the business in one week with no workflow disruption.

It’s easy to measure the impact of AI software that eliminates preventable errors and focuses MLR reviewers on what’s new and different in a working document.  Learn more about SecureCHEK AI by scheduling a short call.


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 to learn how SecureCHEK AI builds libraries and executes prechecking.

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Step 1: Feel Confident That MLR Review Delivers on the 80/20 Rule

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The Value of Prechecking Software in Streamlining MLR—But Only if It Combines Analytical and GenAI