The Customer

Client is one of the world’s leading global organization developing breakthrough products – in diagnostics, medical devices, nutrition and branded generic pharmaceuticals to make a lasting impact on health in the more than 160 countries.

Challenges

  1. Complex reviews/approvals, lengthy review cycles under and complex interdependencies

  2. Manual and inconsistent review process, dependent on MLR reviewers and quality of commercial content submission, business deadlines

The Solution

  • Content review process and cycle time transformation by applying AI/ML and Natural Language Processing through NEXT MLR Review Automation
     
  • Automated learning process to reduce average cycle time of content rejection prior to formal submission
     
  • Improved reviewer experience with machine assisted review to better track content versions, highlight and annotate incorrect and missing ISI statements
     
  • Increased process efficiency by incorporating spell check for US English, linked to Medical and Brand Dictionary
Global Healthcare Brand Leverages AI/ML and NLP to Transform Material Review Productivity
30%
Reduction in turn around time
95%
Machine capability to identify spelling errors
85%
Accuracy to identify claims and reference extraction
Global Healthcare Brand Leverages AI/ML and NLP to Transform Material Review Productivity

Outcomes

  • Improved Reviewer experience due to migration from manually reviewing material to machine assisted review thereby focusing on relevant issues
     
  • First level check performed by tools for claims/context thereby improving content quality upstream, reducing back and forth cycles and improving compliance