Success Story

Connected Digital Experiences

Medical Device Giant Implements Pattern Detector for Patient Insights​

Ad Tech company executes Real-Time contextual classification of webpages using multifold classification and interpretation models by leveraging Zimetrics tech-enabled services

Needs

  • Develop a platform for pattern detection and insights on patient data.​
  • Identify sequences leading to life-threatening hypo/hyperglycemic events.​
  • Create dynamic features based on user requirements.​
  • Filter patients based on specified conditions.​
  • Display outcomes for events across variable timeframes.​
  • Train models on multiple target columns for single/multiple patients.​

Solution

  • Gained insights into patient behavior through frequent pattern observation.​
  • Utilized machine learning algorithms (Apriori, Random Forest, XGBoost) for advanced analysis.​
  • Provisioned a highly scalable cloud-based user interface for dynamic feature generation.​
  • Generates alerts by predicting patient behavior.​
  • Provided actionable insights for corrective measures and lifestyle recommendations.​

Impact

2X

Improvement in patient outcomes​

30%

Boost in CSAT – patient delight for receiving recommendations in their inbox​

50%

Clinical support team able to resolve patient calls in half the time.​

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One of the largest medical device companies in the world, with operations in 150 countries. The company offers an integrated system combining insulin pumps and Continuous Glucose Monitoring.​

Company

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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

“We are delighted to be working with XYZ company. They have an extremely interesting business and a ‘can-do’ mindset. In the course of our engagement we’ve met with colleagues across 3 continents, and throughout we have encountered people with very high standards and a real appetite for innovation.“
Cyrus New
Associate Partner, Zimetrics
Cyrus New
“We are delighted to be working with XYZ company. They have an extremely interesting business and a ‘can-do’ mindset. In the course of our engagement we’ve met with colleagues across 3 continents, and throughout we have encountered people with very high standards and a real appetite for innovation.“
Cyrus New
Associate Partner, Zimetrics
Cyrus New
“We are delighted to be working with XYZ company. They have an extremely interesting business and a ‘can-do’ mindset. In the course of our engagement we’ve met with colleagues across 3 continents, and throughout we have encountered people with very high standards and a real appetite for innovation.“
Cyrus New
Associate Partner, Zimetrics
Cyrus New

Challenges

  • Third party cookie collection being phased out by major tech giants, more than 1/3 of audiences are voluntarily declining cookie tracking.
  • Advertisers are mandated to transition from cookie-less targeting to contextual targeting while improving campaign outcomes.

Solutions

Deep Learning

Models to categorize industry and subindustries relevant sections and denoise

Language Models

Interpret the key concepts from tables, graphs images and running texts

Vision Models

For layout interpretation and correlation of objects in the frame of moment captured

Impact / Metrics

90%+

F1 Score Harmonic Mean of Precision and Recall

50%+

Improved Relevancy Relative to Cookies

99.9%+

Realtime Data Exchange

Tech Stack

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