Pharos Deploy
Data-driven drug tiering and defensible PV staffing, the right writer on the right drug.
Where teams lose time and visibility.
PV teams managing large drug portfolios often allocate resources by habit rather than signal data, creating quality gaps on high-risk drugs, inefficient use of writer capacity and an inability to demonstrate that the right resource is on the right activity.
Risk-based PV resource allocation software.
Pharos Deploy is a data-driven drug-tiering and PV staffing calculator that assigns each drug a defensible risk tier and generates a precise, activity-level resource plan, matching the right writer skill level to the right drug and activity to improve quality and optimise team productivity.
Delivered as part of Ichelon's scientific & PV practices
What Pharos Deploy does.
Objective Drug Tiering Using Signal Frequency & Seriousness
Computes reporting speed and seriousness rate per drug from adverse-event data to assign a Final Risk Tier, replacing subjective judgement with consistent, data-backed classification.
Activity-Level Resource Allocation by Writer Skill Mix
For each tiered drug and PV activity, generates a resource plan by writer level specifying hours per day and monthly commitment, ensuring appropriate expertise on each task and eliminating over- or under-allocation.
Capacity Planning Output for Quality-Driven Delivery
Produces clear Scientific Writing Priority cards showing deliverable type, required skill mix and hour commitments, a ready-to-use capacity plan that supports consistent quality across the full portfolio.
Built for your role.
Pharos Deploy doesn't work alone.
Pharos Signal shows declining prescriptions in North India. Pharos Deploy recommends reallocating 12 MRs. Pharos RouteIQ optimises field coverage, one connected decision, three modules, in a single platform.
See how the modules connectQuestions, answered.
Modules that work alongside Pharos Deploy.
See Pharos Deploy on your data.
Book a guided demo or start a pilot, we map the module to one of your real workflows so you can see the decision support firsthand.