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Driving Efficiency in Healthcare with NLP

Client Background

Phastar, a global biometrics and clinical research organisation, supports pharmaceutical companies with medical data analysis.

The Challenge

Medical analysts spent hours manually coding free-text medical terms into standardised dictionaries. This:

  • Slowed down trials.

  • Led to errors and inconsistencies (accuracy ~60%).

  • Created resource bottlenecks.

The Tammwe Solution

Tammwe’s data science team developed a natural language processing (NLP) solution powered by deep learning:

  • Built on Sentence-BERT embeddings for medical text.

  • Automated mapping of free-text entries to standard medical codes.

  • Seamless integration into analysts’ workflow.

Results & Impact
  • Accuracy boosted from 60% → 90%.

  • Analysts saved hundreds of hours, focusing on higher-value tasks.

  • Faster trial turnaround times for clients.

Client Background

"Tammwe’s NLP solution saved us countless hours and dramatically improved our accuracy. It’s a game-changer for our clinical teams."

– Operations Director, Fyffes.

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Tammwe© 2025, All Rights Reserved

Tammwe© 2025, All Rights Reserved

Tammwe© 2025, All Rights Reserved