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/Index/ConcertAI (STAR)/Specialty-pharmacy and e-prescribing network patient-journey ledger
CS

Specialty-pharmacy and e-prescribing network patient-journey ledger

CONCERTAI (STAR)Manage supplier listing

Specialty-pharmacy and e-prescribing network patient-journey ledger: the de-identified, validated record of what happens to a specialty prescription after the prescriber writes it — patient-in-queue counts, prior-authorisation and benefits-verification processing, appeal filing, patient financial-support uptake, cause-of-delay attribution per prescriber, time to first fill, time on therapy, prescription conversion and abandonment, adherence and persistence, hub and patient-services utilisation by service type, and specialty-pharmacy network performance including data-contract compliance. Held as a single reconciled source of truth across a health-system and specialty-pharmacy network, de-identified and aggregated to HIPAA standard, with prescriber-level and region-level rollups. This is the post-prescription access layer — where a written specialty prescription stalls and why — which claims-only sources cannot observe, because a stalled or abandoned prescription largely never appears in a claims file at all.

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ConcertAI (STAR)/Specialty-pharmacy and e-prescribing network patient-journey ledger
SampleCoverage

Sample

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Coverage

Universe, instruments and categories.

Industry
BiotechnologyHealth Care Technology
Instruments
equities
Categories
Alternative
Reference
Supply Chain
Regions
US
Sample tickers
REGNVRTXBIIBALNYSRPTAMGNBMYPFE
Dataset card
Type
not stated
Format
Tabular de-identified patient-level transaction records with longitudinal journey state, plus aggregated analytic marts powering dashboards with filtering, trending and drill-down, and operational alert and event feeds to region managers and manufacturer teams
Volume
No vendor-stated totals. Structurally implies de-identified patient-level journey transactions in the low hundreds of millions to billions cumulatively, since each specialty patient generates dozens to hundreds of events across intake, queue state, authorisation, appeals, fill, refill, adherence and service touchpoints, across a network spanning an estimated hundreds of thousands to low millions of patients. Basis is the network operating model and per-patient event density, not any published count.
Users
Client-side: an estimated 2,000-10,000 named commercial, access, patient-services and trade users across manufacturer and health-system accounts, inferred from a 1,300-employee firm at roughly $200M revenue. Data subjects are the asset: a network of health systems, specialty pharmacies and e-prescribing participants covering an estimated hundreds of thousands to low millions of specialty and oncology patients. The platform is described as the single source of truth for a network, implying network-scale rather than single-client coverage.
History
9 years
Update frequency
not stated
Growth
Active and large-scale — currently publishing 2024-dated product materials for a named platform, reporting roughly $200M revenue against a 1,300-person workforce and $300M raised at Series C, and positioning around integrated real-world data plus artificial intelligence for therapeutic innovation. The funding stage and headcount indicate a scaled consolidator in an investment phase rather than an emerging company, and the factsheet's emphasis on data-quality operations and contract-compliance reporting indicates an actively run network rather than a static archive.
Launched
STAR as currently branded is documented in the company's March 2024 materials. The company record carries an identifier from roughly 2019 and a Series C funding history, and the firm's real-world-data lineage predates its current corporate form, which was created by consolidating an established oncology real-world-data asset rather than by a new start-up. Practical reading: the underlying data programme runs back to approximately 2019 or earlier, while the STAR product surface is a 2023-2024-era presentation of it.
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site

ConcertAI (STAR) has not added their own details yet. Not yet on file:

  • Dataset
  • Data dictionary
  • Coverage
  • Provenance
  • Rights & data handling