Healthcare and Life Sciences: Drug Safety and Pharmacovigilance
Pharmacovigilance operations in life sciences receive adverse event reports from many sources, enter and code them in a safety database, assess seriousness and expectedness, and prepare regulatory submissions. Safety associates spend much of their effort on intake triage, duplicate checks, medical coding, narrative drafting and follow-up correspondence across the safety database, coding dictionaries and shared documents. Pyze makes no safety, clinical or compliance determinations and measures only how the work is performed.
Drug Safety and Pharmacovigilance in Healthcare
Pharmacovigilance operations in life sciences receive adverse event reports from many sources, enter and code them in a safety database, assess seriousness and expectedness, and prepare regulatory submissions. Safety associates spend much of their effort on intake triage, duplicate checks, medical coding, narrative drafting and follow-up correspondence across the safety database, coding dictionaries and shared documents. Pyze makes no safety, clinical or compliance determinations and measures only how the work is performed.
Example product views. Figures shown are illustrative.
What Pyze Measures
- Elapsed and hands-on time per case processing stage
- Application and screen sequence from intake to submission
- Handoffs between intake, medical review and quality review
- Variation in handling paths across case sources and teams
Typical Findings
- Cases received as email attachments typically move through a document viewer, the safety database and a coding dictionary several times before data entry is complete.
- Narrative drafting occurs mostly in word processing documents that are later reconciled with the safety database record.
- Follow-up correspondence is prepared from varying templates, which creates differences in handling paths for similar case types.
What the Opportunity Register Supports
- Supports a ranked register of case processing steps where assisted data capture could reduce duplicate entry.
- Quantifies time spent moving between the safety database, coding tools and documents.
- Supports standardizing follow-up and quality review paths across teams, with all safety, clinical and compliance decisions remaining with qualified staff.
Example Opportunities
- 1.Source Document Re-Keying Into the Safety Database AI Agent Agentify
- 2.Narrative Drafting Bottleneck on Complex Cases AI Agent Agentify
- 3.Duplicate Search Across Databases and Mailboxes Integration Automate
- 4.Inconsistent Follow-Up Request Templates Standardization Standardize
- 5.Case Distribution Imbalance Between Intake Teams RPA Rebalance
Roles and Titles
- Head of Drug Safety
VP Pharmacovigilance, Head of Safety Operations, Head of Case Processing
Drug Safety and Pharmacovigilance in Other Industries
Other Healthcare and Life Sciences Functions
See This on Your Own Work
A measured baseline before anything changes, then a priced and owned list of what to do about the gaps.