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AIPharm

Pharmacoeconomic Services

Turn healthcare evidence into decision-ready economic insight

We help healthcare teams design evidence studies, model economic impact, analyse real-world data, and package findings for market access, policy, advisory, and internal strategy decisions.

Real-world evidenceEconomic modellingConsensus supportStudy reporting
Healthcare analytics, economic modelling, and evidence generation illustration
Study design
Model analysis
Decision report

What this helps with

A practical evidence partner for decisions that need more than a literature summary

Market access and affordability

Clarify budget impact, adoption scenarios, payer implications, and value arguments before a launch or policy discussion.

Evidence strategy

Plan the right study design, protocol, data source, and analysis approach for a clear evidence-generation pathway.

Stakeholder alignment

Structure advisory boards, Delphi studies, and consensus meetings so expert input becomes usable evidence.

Service scope

Pharmacoeconomic and evidence generation workstreams

Keep the work under one engagement, then combine the right modules depending on the decision you need to support.

Frame the decision

Define the population, comparator, evidence gap, endpoints, stakeholder needs, and decision context.

Build the evidence

Develop the study protocol, analytical workflow, economic model, assumptions, and scenario structure.

Package the output

Translate findings into clear reports, tables, slide-ready visuals, and decision narratives for stakeholders.

Epidemiological & Database

Real World Evidence Study

Design and analysis of observational studies using real-world datasets, registries, patient cohorts, and epidemiological evidence.

Market Access

Budget Impact Analysis

Budget impact models that estimate affordability, adoption scenarios, resource implications, and payer-level financial outcomes.

Health Technology Assessment

Cost Effectiveness Analysis

Economic models that compare interventions through costs, outcomes, assumptions, sensitivity analysis, and decision-ready outputs.

Consensus Development

Advisory Board & Delphi Study

Structured expert engagement including advisory boards, Delphi panels, consensus meetings, synthesis, and reporting.

Data Interpretation

Statistical Analysis

Statistical planning, data cleaning, model selection, subgroup analysis, validation, visualization, and publication-ready tables.

Research Planning

Study Design, Protocol & Plan

Study objectives, endpoints, methodology, analysis plans, protocol writing, timelines, and evidence-generation roadmaps.

Additional scope we can cover

Population and social analytics study
Health economics study including burden of disease, patient preference, and patient outcomes study
Database set up and reporting

Expected outputs

Deliverables that can move from technical review to stakeholder discussion

The goal is not only to analyse data. It is to make the evidence usable for decision-makers, commercial teams, clinical experts, policy audiences, and internal leadership.

Typical deliverables

Study concept note, protocol, and analysis plan

Real-world evidence and epidemiological analysis report

Budget impact or cost-effectiveness model outputs

Consensus meeting, Delphi, or advisory board report

Statistical tables, visual summaries, and interpretation notes

Database setup, reporting workflow, and dashboard-ready outputs

Start with the decision

Tell us the evidence question you need to answer.

We can help shape the study design, choose the right analytic approach, and define the outputs before the work begins.