Success Story

Company

Medical Device Giant Implements Patient Outreach Program for Enhanced Patient Care

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

Challenges

  • The client wanted to build a platform that allows the intended users (Care Providers, Diabetes Clinic Managers, Helpline & Tech Support users) to see a detailed, holistic view of a patient’s device data ​
  • Enable patients to optimize their pump and sensor settings, and coach patients with recommendations that will help them have a better user experience.​

Solution

  • The application ingests patient device data from upstream systems, processes the data, and extracts meaningful metrics such as CGM data, BG Data, Sensor Data, and Insulin data points.​
  • Generates insights based on identifying the predefined patterns and conditions. ​
  • Dashboard is generated by analyzing the patient’s sensor glucose (SG), blood glucose (BG), sensor, and pump system data. ​
  • Patient reports are coupled with personalized observations and recommendations meant to improve user experience. ​
  • AWS-based scalable architecture with successful migration of on prem data to cloud. ​

Impact Generated

  • Patient behavior influence up by 15 points​
  •  Boost for CSAT score by 25 points​
  •  Scalable and cost effective cloud native saving over 35% in costs.​

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.

Challenges

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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