Scope
Define the intervention, comparator, perspective, target population, time horizon, and analytic objectives. Clear boundaries reduce ambiguity and guide data selection, modelling approach, and interpretation for stakeholders and reviewers.
Provides quantifiable evidence of economic value to payers, providers, and policymakers, clarifies budget implications and pricing strategies, and supports negotiation of coverage and value-based contracts. It also documents assumptions transparently for reproducibility and regulatory review in U.S. healthcare settings.
Typical users include health economists, payer analysts, formulary committees, clinical program managers, and consultants who need to quantify costs and outcomes for decision making.
The analysis informs procurement, budgeting, and stakeholder communications across clinical, administrative, and payer teams.
Define the intervention, comparator, perspective, target population, time horizon, and analytic objectives. Clear boundaries reduce ambiguity and guide data selection, modelling approach, and interpretation for stakeholders and reviewers.
List direct medical, nonmedical, and indirect costs with sources and unit prices. Include payer-negotiated rates, wholesale acquisition costs, and overhead allocations to reflect realistic resource use.
Specify clinical outcomes, utilities, and survival estimates. Use peer-reviewed data, trials, or real-world evidence and document assumptions for treatment effects and extrapolation and parametric survival modeling where appropriate.
Choose an appropriate model type—decision tree, Markov, or microsimulation—describe states, transitions, cycle length, and justification for structural choices and calibration, including sensitivity and scenario analyses to test uncertainty.
Conduct deterministic and probabilistic sensitivity analyses, present tornado diagrams, cost-effectiveness acceptability curves, and threshold analyses, and report parameter distributions and correlated inputs where applicable.
Provide transparent methods, model code or detailed technical appendices, limitations, funding sources, and disclosure of conflicts of interest for peer review and payer evaluation, and reproducibility checks.
| Field | Configuration |
|---|---|
| Document Template | Upload formatted DOCX or PDF template |
| Approval Routing | Set reviewer sequence and required approvers |
| Authentication | Choose email, SMS code, or SSO verification |
| Audit Trail | Enable full action logging and timestamps |
Ensure platform compatibility and security when sharing models, datasets, and signed reports across systems and collaborators.
Allow 2–4 weeks for data aggregation and cleaning.
Typically 3–6 weeks, depending on complexity and data access.
Run deterministic and probabilistic tests; 1–2 weeks.
Allow 1–3 weeks for stakeholder feedback and edits.
Deliver signed PDF to payers, committees, and archives.
| signNow | DocuSign | Adobe Sign | PandaDoc | HelloSign | |
|---|---|---|---|---|---|
| Starting Price | $8/user/mo | $15/user/mo | $14/user/mo | $19/user/mo | $15/user/mo |
| Free Trial | 7-day free trial | Varies by plan | Varies by plan | Varies by plan | Varies by plan |
| Bulk Send | Yes | Yes | Yes | Yes | No |
| Audit Trail | Yes | Yes | Yes | Yes | Yes |
| HIPAA Compliant | Yes | Yes | Yes | No | No |
John Butler, Founder at Fertility Centers of Illinois, needed secure delivery and signature capture for patient-facing consent and reimbursement documentation across clinics.
Kodi-Marie Evans, Director of NetSuite Operations at Xerox, needed integration with ERP to automate signature collection on billing and invoicing workflows.