Therapy commercialisation

Find the patients your therapy is already missing

Your addressable population is already inside the network. Bitfount applies your indication criteria to imaging and EHR on-premise, using the best models for the task and surfacing diagnosed-but-untreated and ICD-miscoded patients with no patient-level data egress.

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Built for every team that cares about patient access

Whether you are designing field medical strategy, building your market access case or generating HEOR data, Bitfount gives you the infrastructure to work with real-world imaging and EHR data responsibly.

Commercial & market access

Quantify the untreated population by geography and care setting

Feed real-world insight into payer submissions and HTA evidence packages, measured from imaging and EHR at the site rather than inferred from claims, without navigating data sharing agreements.

HEOR & real-world evidence

Run outcome and comparative effectiveness studies across networks

Treatment outcome and comparative effectiveness studies across multi-site hospital networks, with no data centralisation, no DPIA delays and no patient-level exposure.

Medical affairs & field teams

Support guideline concordance programmes at scale

Identify undiagnosed and under-treated patients at provider sites without data extraction or disruption to the clinical workflow.

One platform. Every stage of post-approval patient access.

Capabilities

Patient recruitment

Close the care gap at the point of care

Deploy AI against your indication criteria across live imaging and EHR data behind the hospital firewall. Bitfount surfaces undiagnosed patients and patients miscoded under related but incorrect ICD codes, analysing notes, labs, imaging and family history together as a clinician would. Outputs are explainable, so the care team can act on them immediately and support guideline-concordant care pathway programmes.

Site feasibility

Size and segment the treatable patient population

Understand where treatment gaps are most acute, by region, care setting or demographic, with no patient-level data leaving the site. Map diagnosed, under-treated and eligible patient pools by geography, analyse time from first symptomatic presentation to correct diagnosis, and identify the sites with the largest gaps in guideline-concordant prescribing to inform territory planning, KOL engagement and market access strategy.

Access barriers

Uncover social barriers to treatment access

Transport, housing and food insecurity are documented in clinical notes but never systematically analysed. Bitfount's federated LLMs and NLP extract SDOH signals at scale across your network without any raw data leaving each institution, mapped by geography, cohort and indication area, so you can identify the segments that are diagnosed but not initiating treatment and inform equitable access strategies with previously unanalysable data.

Post-approval evidence

Generate real-world evidence without data extraction

Post-approval commitments and market access submissions demand RWE. Bitfount runs federated queries across multi-site networks and returns only aggregated results, with no data sharing agreements and no DPIA delays. Run cross-site treatment outcome analyses, population characterisations across dozens of institutions, treated versus untreated comparisons and ongoing automated post-market surveillance, then produce evidence packages for HTA submissions and payer negotiations.