State of the industry

The true cost of human error in healthcare operations

In healthcare environments, even small execution errors — from missed steps to inconsistent protocols — can quickly compound into patient safety risks, compliance violations, delays, and costly rework.

$20B
Preventable medical errors cost the U.S. healthcare system an estimated $20 billion annually.
70%
Communication and execution failures contribute to nearly 70% of serious patient safety events.
30%
Up to 30% of nurses’ time is spent searching for information or navigating fragmented systems.
86%
Healthcare leaders report workforce shortages at a rate of 86%, increasing pressure on frontline execution.
Example use cases

Detect & correct errors before they become costly mistakes

Strivr embeds quality assurance directly into care delivery.
Instead of relying on memory or retrospective checks, it detects issues in real time and guides staff to correct them — before they impact outcomes. No guesswork. No inconsistency. Care stays on track.

Strivr embeds quality assurance directly into care delivery. Instead of relying on memory or retrospective checks, it detects issues in real time and guides staff to correct them — before they impact outcomes.

Medication preparation

Incorrect steps or missing verifications are flagged in real time to reduce risk

Lab & specimen handling

Errors in labeling, handling, or sequencing are detected before impacting results

Clinical protocols & procedures

Missed steps or deviations are identified in the moment to ensure consistency

Equipment setup & usage

Incorrect configurations are flagged before procedures begin

Inventory handling

Errors in restocking or movement are identified before impacting availability and accuracy

Infection control & safety

Missed PPE or protocol steps are detected in real time

What kinds of errors can Strivr AI detect?

Smart glasses integration allows Strivr AI to “see” what your workers see in real-time — enabling instant, hands-free detection of operational errors, inconsistencies, missed steps, missing components, and safety violations that occur within workers’ field of view. In other words, if an issue or error is visible to your worker, Strivr AI will see it and detect it.

How does Strivr AI know if and when a mistake has been made?

Strivr builds customer-specific visual language models (VLMs) to detect when a procedure or task is incorrect, incomplete, or out of sequence. VLMs are AI systems that combine computer vision and natural language processing to understand, interpret, and learn from image- and text-based inputs.

Our Engineering team trains your VLM using multimodal media files (images, videos, PDFs, etc.) that illustrate and/or describe how specific procedures, operations, and workflows are carried out at your company.

Strivr AI leverages this foundational knowledge base to visually compare a specific procedure against its internal understanding of what the “correct” steps for the procedure should look like.

If the execution of the procedure is visually inconsistent with the “correct” outcome, Strivr AI delivers voice-based, audio guidance via the built-in speakers on your workers’ smart glasses to inform them that a mistake has been made, then provides detailed instructions on how to fix it.

Does Strivr AI only work on smart glasses? What devices are supported?

Strivr AI is optimized for smart glasses because they enable hands-free user interaction, real-time interpretation of visual input,  and seamless delivery of voice-based guidance in the flow of work. Supported devices currently include Vuzix Smart Glasses and Ray-Ban Meta AI glasses.

Strivr AI also runs on Android smartphones and tablets for workflows that don’t require hands-free interaction, giving teams flexibility based on their needs, preferences, and working environment.

Does Strivr AI replace operators or automate tasks?

No. Strivr AI supports operators by helping them catch and correct mistakes in real time, improving operational efficiency, standardizing frontline execution, and enhancing output quality without sacrificing human control.

How is Strivr AI different from traditional training?

Training prepares workers ahead of time. Strivr AI supports workers while they work by detecting operational errors and delivering corrective guidance as tasks are performed in real time.

By providing workers with on-demand access to AI-powered guidance and quality assurance support whenever and wherever they need it, Strivr AI can help your team ramp new hires faster, accelerate onboarding, and reduce the need for extensive shadowing and constant supervision. Strivr AI is not intended to fully replace traditional training, but it can certainly be used to bolster, facilitate, and reinforce your current training program.
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