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 Email, 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