Clinical evidence & market access

The templates in this pack

One HTA body's cost-effectiveness decision for a drug×indication, with ICER/QALY economics. Maps to drug-database.hta_assessments.

Try in Workbench Full template page

Schema

The canonical field set, printed as it ships.

20 fields with multilingual hints (DE / FR / IT / EN / ES) and field-level validators. Any source column that resolves to one of these is mapped by the cascade — most of them on the deterministic layers, with no LLM call.

hta_assessment_v1

fields: 20
required: 3
validated: 1
hints: 101

Canonical column	Type	Required	Validators	Header hints the cascade matches
`source`	enumniceicercadthiqwigsmcpbachaute_autoriteother	yes	—	hta bodyagencyassessment bodyappraisal
`agency`	string	—	—	agencycommitteeappraisal committeeassessment group
`country`	string	—	—	countryjurisdictionnation
`drug`	string	yes	—	drugtechnologyinterventionproductmedicineinnbrand
`atc_code`	string	—	`atc_code`	atc
`indication`	string	yes	—	indicationconditionpopulationdiseasefor the treatment of
`efo_id`	string	—	—	efomondodoidontology id
`decision`	enumrecommendednot_recommendedrestrictedoptimizedonly_in_researchunder_review	—	—	recommendationdecisionguidancerecommendednot recommendedrestricted useoptimiseddo not recommend
`icer_value`	number	—	—	icerincremental cost-effectiveness ratiocost per qalycost/qaly£/qaly$/qalyincremental cost effectiveness
`icer_currency`	string	—	—	currency£$€gbpusdcadeur
`icer_per`	string	—	—	per qalyper life-yearper lay
`willingness_threshold`	number	—	—	thresholdwillingness to paywtpcost-effectiveness threshold20000 to 3000020,00030,00050000100000150000
`qaly_gain`	number	—	—	qaly gainincremental qalysqalys gainedquality-adjusted life years
`hbpb_low`	number	—	—	health benefit price benchmarkhbpbvalue-based priceprice benchmarkfair pricehealth-benefit price benchmark
`hbpb_high`	number	—	—	health benefit price benchmarkhbpbvalue-based priceprice benchmarkupper benchmark
`hbpb_basis`	enumper_yearper_treatmentper_course	—	—	per yearannualper treatmentone-timeper course
`list_price`	number	—	—	list priceannual list pricewacwholesale acquisition costlaunch priceannounced price
`comparator`	string	—	—	comparatorversuscompared withvsstandard of carebest supportive careplacebo
`url`	string	—	—	urllinkreferenceta numberdoi
`published_date`	date	—	—	publisheddate of publicationissuedfinal appraisal

Read the same definition as JSON at GET /v1/templates/hta_assessment_v1. A hint match resolves on layer 2 — no LLM call, no token spend, just the flat per-map fee. Hover a validator id to see what it checks.

20 canonical fields
3 required
1 validated
101 header hints
Clinical evidence & market access pack

Try it

A real file, a real call, one template id.

POST the file with the template id. The cascade resolves most columns for free on the deterministic layers; only the leftovers reach the metered LLM.

bash

curl -X POST https://api.adaptivmapr.com/v1/uploads \
  -H "Authorization: Bearer $ADAPTIVMAPR_API_KEY" \
  -F "template=hta_assessment_v1"

→ upload created · mappings ready · confirm before commit

This is a medium-risk template. Its mappings response comes back with requires_hitl: true so you can gate your own commit. Schema-only mode — headers plus at most three sample rows, each clamped to 80 characters — is a data-minimization mode. Full-data routes the metered layer-5 call in-region under a BAA at a 20% uplift, and stays locked until the workspace accepts the BAA/NDA in-app.

mcp

adaptivmapr.match_headers({
  template_id: "hta_assessment_v1",
  headers: ["source", "agency", "country", "drug"]
})

schema-only · headers and ≤3 clamped rows only

Put hta cost-effectiveness assessment in production — without shipping raw records.

Schema-only mapping leaves only headers and a handful of clamped samples. Add full-data when you need row-level AI, routed in-region under a BAA.

Full template page See pricing