How IMO Health Screens Thousands of Healthcare IT Applicants and Catches Fake Ones

Introduction

When your company grows fast and your roles are specialized, inbound volume stops being a good problem to have. For IMO Health's talent acquisition team, hundreds of applications per opening quickly turned into thousands. The traditional approach of manual resume review wasn't just slow. It was risky. Strong candidates were getting buried, and a new challenge was emerging: AI-generated fake applicants flooding the pipeline.

Lauren Fisher, Senior Manager of Talent Acquisition at IMO Health, shares how Brainner changed both problems at once.

"Before Brainner, resume review would take hours, and even then, we knew that great talent was getting buried in the process. Brainner completely changed all of that."

The Challenge: High-Volume Hiring in a Specialized Market

IMO Health is a high-growth healthcare IT company with a recruiting team managing a large volume of specialized technical roles. The specificity of the profiles they hire for makes each position demanding to evaluate, and the volume of inbound applications makes that evaluation unsustainable at scale.

"For many roles, we receive hundreds and, now with the rise of AI, even thousands of applicants, making it harder to identify the right candidates. Before Brainner, resume review would take hours, and even then, we knew that great talent was getting buried in the process."

Two problems compounding each other: too many applicants to review manually, and no reliable way to know which ones were legitimate.

How Brainner Surfaces the Right Candidates Faster

Brainner's AI resume screening integrates directly into IMO Health's existing workflow, scoring and ranking candidates based on the specific criteria Lauren's team defines for each role. Instead of reading through every resume, the team can focus on the candidates most likely to be a fit, without worrying that strong applicants are slipping through.

For a team managing specialized technical roles across a high-growth company, that speed directly translates to better hiring outcomes and less time lost to process.

Fake Applicant Detection: A New Must-Have for Recruiting Teams

One of the less-discussed consequences of AI-generated content tools is the surge of fake or AI-fabricated applications hitting recruiting pipelines. Fake applicant detection is a feature that automatically flags AI-generated or fraudulent job applications before they reach the recruiter's review queue, analyzing signals like synthetic profile patterns, inconsistent work histories, and mismatched credentials. For companies receiving thousands of inbound applications, the risk of advancing fraudulent candidates is real, and manual review alone can't catch it at scale.

Brainner's fake applicant detection runs automatically as part of the screening process, flagging suspicious profiles before they move forward, so recruiting teams can engage only with legitimate candidates.

For Lauren's team, this feature went from a nice-to-have to a core part of their screening workflow:

"With their fake applicant detection tool, we can confidently move forward knowing that the candidates we're speaking with are legitimate. That's been a huge advantage for our team."

The Results: Less Time Screening, More Focus on the Right People

Since implementing Brainner, IMO Health's TA team has seen three concrete improvements.

• Time saved. Manual resume review, previously measured in hours per role, is no longer the bottleneck it once was.

• Reduced risk. Fake applicant detection means the pipeline reflects real, qualified candidates before the team ever picks up the phone.

• Better focus. With screening handled by AI, Lauren's team can concentrate on what actually moves the needle: connecting with the right people.

"It has saved us time, reduced risk, and allows us to focus on connecting with the right candidates. I'd absolutely recommend Brainner to any recruiting team navigating high-volume hiring, especially in today's AI-driven landscape."

Is Your Team Dealing with the Same Challenges?

If your recruiting team is managing high-volume inbound applications, or starting to notice AI-generated fake applicants in your pipeline, Brainner was built for exactly this. See how other teams handling high-volume hiring are solving the same problem.

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