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#PractitionerLevelConfidence
Global Pharma Leverages AI/ML and NLP to Transform Material Review Productivity
Challenges
Complex reviews/approvals, lengthy review cycles under and complex interdependencies
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
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
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Reduction in turn around time
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Machine capability to identify spelling errors
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Accuracy to identify claims and reference extraction
Let's Partner to Commercialize with Confidence
