Pharmaceutical contact centers serve two audiences with completely different needs: patients (support programs, co-pay cards, side effect questions) and healthcare providers (medical information, formulary status, sample requests). Both require absolute accuracy because incorrect information can affect treatment decisions and patient safety.
Map your current capabilities across all 7 layers: 35 checkpoints. Mark what you have, what you need and what is planned. Your answers stay in this browser tab.
Figures for this segment
No public benchmark exists for these figures in this segment. Measure your own with the tool named beside each.
Key risk:Bot providing medical information without proper medical review controls
Layer 3: Policy & Guardrails
0 of 5 in place
Set the rules. Vendors in this layer include IQVIA PV, Veeva Safety, ArisGlobal.
FDA adverse event reporting requirements (MedWatch, CIOMS)
Off-label communication detection and escalation
HIPAA/patient privacy controls for support program data
Anti-kickback statute compliance for patient assistance programs
Global pharmacovigilance requirements for multinational programs
Key risk:Missed adverse event creating FDA enforcement action
Layer 2: Workflow Execution
0 of 5 in place
Do the work. Vendors in this layer include Salesforce Health Cloud, Veeva CRM, AssistRx.
Patient support program enrollment with eligibility verification
Co-pay card issuance and benefit tracking workflow
Adverse event intake workflow with required data fields and follow-up
Prior authorization support workflow for specialty medications
Patient adherence program workflow with refill reminders and check-ins
Key risk:Program enrollment drop-off due to complex eligibility requirements
Layer 1: Data Access
0 of 5 in place
Know the customer. Vendors in this layer include Veeva CRM, Salesforce Health Cloud, AssistRx, CoverMyMeds.
Patient support program database with enrollment and activity history
Pharmacy network and specialty pharmacy connectivity
Insurance and benefits verification systems
Medical information library with approved labeling and published literature
CRM with full patient and HCP interaction history
Key risk:Patient data fragmented across program databases, CRM, and safety systems
Mark at least 18 capabilities to see your profile (0 of 35 so far).
Sources and assumptions
Every figure on this page is a published figure checked on the publisher's own page, a labelled planning assumption you can test with your own numbers, or a worked example.
Planning assumptions
10 to 15%: Eligible patients lost at each added support program enrollment step. From practice; no public per-step figure for patient support program enrollment. Measure completion at each step of your own program. Test with your numbers in Channel Shift Model.
No public benchmark
Average handle time, pharma life sciences contact centers. No regulator or trade body publishes handle time for this segment; CMS call center monitoring measures hold time; handle time is outside its scope. Measure yours in AHT Decomposition.
First contact resolution, pharma life sciences contact centers. No regulator or trade body publishes first contact resolution for this segment. Measure yours in FCR Leakage Diagnostic.
Customer satisfaction, pharma life sciences contact centers. No public CSAT percentage exists for this segment; CAHPS, ACSI and J.D. Power publish index scores on other scales.
Self-service containment, pharma life sciences contact centers. No regulator or trade body publishes self-service containment for this segment. Measure yours in AI Deflection Reality Check.