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Life Sciences & Pharma

Every HCP and patient signal.
A real-time decision.

Content opens, prescribing shifts, adherence gaps and adverse-event mentions — decided and executed before the moment is gone.

Production-grade · FDA / EMA / MLR / pharmacovigilance-aware · sub-200ms decisions at enterprise scale

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Decision Console · Life Sciences
LIVE
Sense
HCP opens eDetail
12 ms
Decide
Next-best content
p=0.86
Act
Rep + email + portal
MLR OK
Learn
Content engaged
Rx lift
Inform Fires only MLR-approved content — every touch logged for audit
Allyvate AI Picks the next best action for each HCP & patient moment — in real time
Life Sciences signals
eDetail
Email
Sample
Congress
Rx
Patient
MSL
AE
Problem

Life sciences doesn't lack data. It lacks timely action.

The CRM shows the HCP engaged — but the follow-up still arrives days later, through the wrong channel, and patient drop-off is caught only at the refill gap.

Without real-time decisioning
  • Rep follow-up lands days after the HCP signal
  • Adverse-event mentions surface in batch review
  • Patient drop-off spotted only at the refill gap
  • Congress leads worked weeks after the booth
  • Content sent without MLR-state or consent checks
With Appice
  • HCP signal triggers next-best content within the hour
  • AE mention routed to pharmacovigilance in real time
  • Adherence risk flagged before the missed dose
  • Congress engagement followed up the same day
  • Only MLR-approved, consent-checked content fires
Moments that matter

Ten real-time plays in Life Sciences.

Signal detected. Decision made. Action taken — before the moment closes. Tap any card to zoom in. Scroll for more.

Use Case 01
HCP opens a clinical email

Next-best content surfaced to the rep, the same day.

An HCP engaging with clinical content is a high-intent signal. Appice scores the interest and surfaces the next-best approved asset — to the rep, the portal and email — before the interest cools.

Real-Time Decision Loop
Allyvate AI · Picks the next-best content for this HCP’s specialty and stage. Inform · Only MLR-approved content fires; every touch logged for audit.
Higher HCP content engagement Tap to zoom
Use Case 02
Adverse event mention detected

Pharmacovigilance routing before the reporting window closes.

An adverse-event keyword in a patient app, call or portal interaction is detected, classified for severity, and routed to pharmacovigilance intake within minutes — never lost in a batch queue.

Real-Time Decision Loop
Inform · AE captured and logged within regulatory reporting windows.
Faster, compliant AE intake Tap to zoom
Use Case 03
Specialty-drug dose missed

Adherence intervention before the gap becomes a discontinuation.

A missed dose or refill-gap signal triggers a tailored adherence intervention — reminder, nurse-educator call, or hub outreach — chosen by the patient’s risk and consent state.

Real-Time Decision Loop
Allyvate AI · Selects the intervention most likely to keep this patient on therapy. Inform · Patient comms run on consent, logged for HIPAA / GDPR.
Better therapy adherence Tap to zoom
Use Case 04
HCP prescribing pattern shifts

MSL engagement queued for the scientific question.

A shift in prescribing or a clinical-content deep-dive flags a scientific-exchange opportunity. The MSL is queued with full context — within promotional / non-promotional firewall rules.

Real-Time Decision Loop
Allyvate AI · Picks the right scientific topics for this HCP’s interest. Inform · Promotional / non-promotional firewall enforced and logged.
Sharper MSL–HCP scientific exchange Tap to zoom
Use Case 05
Formulary win in a region

Rep + HCP activation the day access opens.

When a payer adds the product to formulary, the affected HCPs and field team are activated the same day — with the access change, patient-eligibility detail and approved messaging.

Real-Time Decision Loop
Allyvate AI · Prioritises the HCPs where the access change moves Rx most. Inform · Access claims kept within label and approved messaging.
Faster access-to-Rx conversion Tap to zoom
Use Case 06
Patient enrolls in support program

Onboarding journey starts automatically, end to end.

Enrolment into a patient support program triggers a personalised onboarding journey — welcome, benefits verification, injection training and copay support — sequenced to the patient’s therapy start.

Real-Time Decision Loop
Allyvate AI · Sequences the onboarding steps that get this patient to therapy fastest. Inform · Consent and program eligibility captured for audit.
Faster, smoother time-to-therapy Tap to zoom
Use Case 07
HCP requests a sample

Compliant fulfilment without the sales-ops delay.

A sample request is checked against eligibility, state licence and sample-accountability limits, fulfilled, and logged — automatically, with the rep notified for the follow-up conversation.

Real-Time Decision Loop
Inform · Sample-accountability limits enforced and logged for audit.
Compliant, faster sample fulfilment Tap to zoom
Use Case 08
Congress session attended

Personalised follow-up the same day, not weeks later.

Congress booth visits, session attendance and content scans become real-time signals — each HCP gets a follow-up tailored to what they actually engaged with, while the conversation is fresh.

Real-Time Decision Loop
Allyvate AI · Picks the follow-up that matches what this HCP engaged with.
Higher congress lead conversion Tap to zoom
Use Case 09
HCP browsing the product portal

Next-best content surfaced in-session.

An HCP exploring efficacy, dosing or access pages signals an open question. Appice surfaces the next-best approved asset in-session and routes a rep or MSL follow-up if the depth warrants it.

Real-Time Decision Loop
Allyvate AI · Picks the asset that answers this HCP’s likely question.
Deeper HCP digital engagement Tap to zoom
Use Case 10
Copay or access barrier detected

Hub services routed before the patient abandons therapy.

A claim rejection, prior-authorisation delay or copay-shock signal triggers hub services — copay assistance, PA support or a bridge program — before cost stalls the start of therapy.

Real-Time Decision Loop
Allyvate AI · Picks the access program that removes this patient’s barrier. Inform · Financial-assistance eligibility captured for compliance.
Lower prescription abandonment Tap to zoom
The Solution

From signal to compliant action.

2–3×HCP engagement
31%Better patient adherence
<200msDecision latency
100%Auditable decisions

HCP Signal → Next-Best Content

Content open, portal visit or congress scan → the next-best approved asset routed to the right channel.

Adverse Event → PV Routing

AE mention detected, classified and routed to pharmacovigilance intake within the reporting window.

Refill Gap → Adherence Save

Missed dose or refill gap → the right adherence intervention before it becomes a discontinuation.

Access Win → Field Activation

Formulary change → affected HCPs and the field team activated the day access opens, with approved messaging.

Inbound Enquiry → Best Next Action

Call, portal, email or medical-information request → full context and the right action inside the agent desktop.

Congress & Portal → Scientific Follow-up

Booth, session and digital engagement → same-day rep or MSL follow-up tailored to what the HCP explored.

Integration

Works with your existing CRM, content and PV stacks.

Appice plugs into Veeva, Salesforce Health Cloud, IQVIA OCE and major pharma CRM, master-data and content (PromoMats / Vault) systems — plus patient-support-program hubs, contact centres and pharmacovigilance intake. We don't replace your stack; we add the real-time decisioning layer across HCP and patient journeys.

Your data stays inside your governance. On-premise, private cloud or hybrid — with regulator-ready audit trails per decision.

Signal Ingestion (Sense) Decisioning Engine (Decide) Execution Layer (Act) Analytics (Learn) Allyvate AI Inform
Built for Regulated Life Sciences

Every decision. Auditable. Explainable.

Compliance is not bolted on. Every Appice decision in life sciences carries consent checks, MLR-state checks, reason codes and a full audit trail — ready for medical, regulatory and pharmacovigilance review at any time.

FDA
EMA
MHRA
CDSCO
MLR
GxP
HIPAA
GDPR / DPDP

Consent → Enforced

Every HCP and patient comm checked against live preference centre & channel-suppression rules before it fires.

Content → MLR-Approved

Only assets in an approved MLR state can be sent — expiry and version controlled, per market.

AI → Explainable

Every Allyvate recommendation includes a human-readable reason code. No black box for HCP or patient decisions.

Data → Sovereign

Residency, region failover and model governance built in — on-prem or your cloud.

Case Study — Life Sciences

From batch HCP campaigns to real-time engagement.

2.3×HCP content engagement
31%Better patient adherence
38%Faster adverse-event intake
10 wksTime to live
Context

A global pharmaceutical company with a multi-therapy portfolio, a field force of several thousand reps and MSLs, and patient-support programs across specialty brands. HCP engagement ran on batch CRM campaigns; patient adherence outreach was generic and calendar-scheduled.

Problem

HCP follow-up was disconnected from real engagement signals — content opens, portal visits and congress activity sat in reports nobody acted on in time. Patient adherence outreach was calendar-based, not risk-based. Adverse-event mentions in patient channels were caught only in batch review.

Solution

Sense connected the CRM, content platform, patient-support-program hub, web portal and congress signals. Decide modelled HCP intent, prescribing shifts, patient adherence risk and adverse-event severity. Allyvate AI generated next-best content, adherence and field-activation journeys with MLR and consent vetting per market. Act executed across rep CRM, email, portal, hub and the medical desktop in lock-step.

Impact

2.3× HCP content engagement. 31% improvement in patient adherence on specialty brands. 38% faster adverse-event intake. HCP and patient engagement moved from batch campaigns to a real-time, agentic, audit-ready operating model — with measurable commercial and clinical outcomes.

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Turn every HCP and patient moment into outcomes

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