clinics & hospitals

Attract the best trials and
deliver better, faster results

Easily deploy on-premise AI models and data science algorithms to analyse your imaging and EHR data. Transform feasibility assessments and patient pre-screening without any data leaving your existing systems.

Patient pre-screening

Put patient pre-screening on autopilot

On-premise AI analysis of your imaging and EHR data enables you to focus on recruiting the right patients at the right time, with fewer screening fails. We’ll even automatically notify you whenever eligible patients are found.

site selection

Bring the right trials to your patients

Get on sponsors’ radars and increase the chances of being selected to participate in the best trials by showcasing attributes of your unique patient population, automatically derived from your imaging and EHR data.

feasibility studies & Protocol design

Collaborate with sponsors to optimise trial planning

Safely monetise your data by allowing its insights to inform trial feasibility studies and protocol designs without any raw data leaving your premises.

Trial monitoring

Improve trial execution and reduce communication overheads

Reduce back-and-forth emails and forms from trial sponsors by effortlessly sharing automated signals around trial progress from your imaging and EHR systems.

Post-market surveillance

Safely support post-approval studies for patient benefit

Effortlessly contribute to post-market surveillance studies (phase IV trials) by enabling anonymised, aggregated insights to be derived from your routine EHR and imaging systems.

key features and benefits

Bitfount slots neatly into your existing systems

No data leaves

No data anonymisation required

Diverse data support

Imaging (inc. DICOM), EHR, and more

Install in minutes

Install via desktop app or Python SDK

Certifiably secure

HIPAA & GDPR compliant and ISO27001 certified

No 3rd party hardware

Integrate with your IT systems and EHRs

88% reduction in costs for patient pre-screening in retinal disease trials with federated AI

Deploying deep-learning AI models on data directly within hospital systems helped identify ~100x more eligible patients than would normally be found via the current system of manual image analyses and health record searches.

Frequently asked questions

Can Bitfount access my data?

No, Bitfount’s zero-trust architecture ensures Bitfount never receives data or analysis results. Analysis results are transferred between data custodians and data scientists end-to-end encrypted using encryption keys held by each party and not accessible to Bitfount. Read more here.

What will my Information Governance team think of this?

Information Governance and Legal teams love Bitfount since it removes the need for complex Data Sharing Agreements (DSA) and Material Transfer Agreements (MTA), and massively simplifies Data Protection Impact Assessments (DPIA). Bitfount is also fully GDPR, HIPAA and ISO27001 compliant. Visit our online Trust Centre here.

Do I need to be able to code?

No. Our desktop application has been designed to be operated without requiring any coding knowledge. This includes connecting datasets, joining projects, running tasks and accessing analysis results. Data scientists and algorithm developers can choose to interact with Bitfount via our python SDK.

Are there any hardware requirements?

There aren’t any specific requirements, however AI analysis at scale can be compute-intensive and will run more efficiently, especially for image analysis, if you have access to a machine (physical or virtual) with a GPU. Suitable devices include any Apple silicon model, or a Windows or Linux machine with an Nvidia GPU. Not sure if you have the right setup? Reach out to us at support@bitfount.com for guidance.

Still have questions?

Our team are here to help

Contact us

Starting with Bitfount is simple, fast, and free.