Computer Vision for Pharmacist Technical Pill Counting

About The Client

A US based fortune 100 healthcare company that offers solutions in the pharmaceutical, insurance, care provider, and retail space.

Challenge

Pharmacist technician processes consisted of a time consuming, manual effort to count pill quantity when filling a prescription. The process required two different pharmacist technicians to manually count pills for each prescription filled. This process was time consuming in which the client hoped to automate the respective workflow leveraging emerging technologies.

Solution

We were able to develop a production ready, AI based computer vision model to support the existing pharmacist technician workflow.

Assessed and created machine learning models to achieve a confidence rate of 98% during pill counting process

Tailored respective models to highlight pill consistency, inspection, and broken pill identification.

Read NDC & expiration date when the pill bottle was placed next to the actual pills

Results

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30% increase in availability of time within the pharmacy technician workflow

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27% reduction in pharmacy technician resources needed to fulfill consumer needs

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3X increase in operation efficiency within pharmacy technical workflow