1. Indegene’s AI/NLP Powered Pharmacovigilance/Safety Solution
Indegene’s PV Solution for automated Case Intake & Processing
Industry Challenges
NLP based real time speech-to-text transcription
Automated extraction engine with capability to extract information from different AE source document formats
Mapping of extracted information to the relevant fields in E2B format and pushing it into the safety database
Automated 4-element validation, Duplicate search, MedDRA coding and Case Triaging
Call Centre: NLP based Real time Speech-to-text transcription
, Structured forms: Automated data extraction and data entry
Unstructured Data/Literature Articles: Automated data extraction, converts unstructured to structured data
Social Media: Automated Data Extraction
Dynamic visual cues for optimal data collection by call center agents; highlights ambiguous and missing information to improve quality of data
ML based automated data extraction from unstructured, semi-structured and structured sources
Automated quality check of extracted information and highlight of information mismatch to enable faster QC process with minimal human intervention
Centralized view to enable status tracking and case prioritization
Manager view that enables KPI dashboarding and reporting
Allows sorting of AEs by severity and time to report, thereby enabling workflow management
Effective and centralized resource management and efficiency optimization
Ready-to-deploy intuitive platform; easy to integrate within existing infrastructure and safety databases
Cloud-based, scalable, secured and collaborative single-interface
Extensibility for growing AE volumes and high reliability
Minimal training requirements
Multiple languages and regional accents supported
>70% reduction in manual efforts (Data entry, validation, triaging)
Increasing AE volume
>90% accuracy in data extraction
Multiple sources and formats
>99% quality
Poor Quality of data and error prone case intake
100% timeline compliance
Proposition: scalability, reliability
Outcomes
Incubation Centre
Case study
Rx Logic: PV intake
Integrate with existing system?
DCIM? Unified Case Intake
3) Incubation: Voice-to-text, Structured and unstructured; partnering with industry on Thought Leadership
Case intake + Case Processing
Alignment with existing enterprise system (what is BMS using)
Social Media AE monitoring (Focus area)
Inefficient intake process & workflow management
>50% cost savings
Integration with existing systems