India's largest platform and marketplace for AI & Analytics leaders & professionals

Sign in

India's largest platform and marketplace for AI & Analytics leaders & professionals
Become a Thought Leader
Become a 3AI Member

Sign in

3AI Digital Library

< Go Back

Patients Support program Turnaround Time Optimization

3AI September 10, 2020

One of the world’s top Pharmaceutical company

Problem Statement

  • Program turnaround time and speed up the process with high quality error-free progress.
  • Monitoring Nurses Performance and Best practice for supporting patients and converting into Therapy.
  • Best staffing model for Patients Support.
  • Monitoring every stages of the HUB models.

Analytics Led Approach

  • In depth analysis implementation on entire HUB model to understand the performance and time taken to complete the multiple stages of the model. Correlate the Stages performance and turnaround time against the  Nurses performance.
  • Designed a Nurses Performance report to closely monitor Nurses tasks, progress and Designed details Brand performance dashboards to observe the turnaround days of stages. Analyzed Patients behavioral against the Turnaround time.
  • Staffing model created based on the Patients persistence.

Business Impact

  • Identified Stages that take extended time to complete and solution provided to optimize the same to reduce the overall turnaround time.
  • Standardized dashboards and Reports produced to monitor the Brand performance Solution provided based on trends – Best time to call or reach patients to convert them into successful therapy.
  • Standardized interactive reports produced on weekly basis to watch the Nurses performance against their Goals. Expected vs  Actuals.

Critical Success Factors

  • Patients Support Program Turnaround time was reduced. Expected time reduce by this year end is ~ 35% less than the current Turnaround time.
  • Nurses Task and Calls performance are improved which leads to reduce the overall program turnaround time.

    3AI Trending Articles

  • How Enterprises can leverage the power of Open LLMs and enhance Business Value

    Featured Article: Author: Raghavendra Prasad, JPMorgan With the advent of ChatGPT and several Open LLMs in the last few months, most of the business leaders have been pondering on how their enterprises can leverage these technologies to not only enhance customer experience across their products and services but as well as drive efficiencies & innovation […]

  • AI Operations: Think Software Development, not Data Science

    Featured Article: Author: Kuntal Hansaria, Associate Partner – AI, Analytics & Digital, IBM AI Governance includes aspects of Explainability (explaining how a model is working) & AI/ML Operations (scaling model development, management & deployment). While Explainability gets lot of attention, aspects of AI/ML Operations are often ignored. However, without AI Operations, an organization can never […]

  • Pandemic has “fundamentally accelerated” the process of digital transformation – Satya Nadella

    “What we were going to think about during 2030 is probably going to be true in 2025,” Nadella added. He was speaking at the Resurgence TiEcon Delhi-NCR summit. The pandemic has “fundamentally accelerated” the process of digital transformation across industries, and companies equipped with digital technology are going to be more resilient and be able […]

  • Augmenting AI to set the right sales targets

    Author: Abhishek Bhadra, AVP – Platforms & Offerings (Building AI products for Sales & Commercial value chain with domain expertise in CPG& Retail, Manufacturing & Aftermarket Services), Genpact | LinkedIn – https://www.linkedin.com/in/abhishekbhadra/ Setting the right target  Target setting for the sales force is an age-old problem which is nonlinear and multivariate in nature. If the target is […]