how can we help you?

Contact us at the Biohymns nearest to you or submit a inquiry online.

I have worked with BioHymns for several months to develop patient workflows and they have been great. They have a solid process in place for remote patient engagement and are very good at ensuring that the program they provide will meet all of the requirements related to trials, very prompt. They are knowledgeable about artificial Intelligence & Machine Learning and the tricks it takes to build smart solutions.

Director IT


Enrich EDC data capture with integrations to digital EHR and wearable device data. Reduce the cost of patient recruitment with automated inclusion – exclusion logic. Build digital patient registries powered by real-world clinical and claims data.

Streamline clinical trial recruitment and digital patient registries with connected EMR data, hybrid approach to retrieving data from across the ecosystem such as :

  • Patient portals
  • Partnerships (Patient communities and advocacy groups)
  • Labs & Local care groups 
  • NGO’s & Research institutes 
  • APIs, including leading standards like FHIR
  • Health Information Exchanges (HIEs)

Digital Clinical Trial Recruitment and Engagement Strategy (patient communities & other Partners)

Our digital’s insights and expertise help you plan data-driven digital programs to support patient recruitment and engagement. Unlocks fragmented data sources and makes it easy for users to manage and send their data to services helping them.

Multi-dimensional query definition, real-time search across multiple networked electronic health record systems made interoperable by the use of semantic and ontology methods, and a highly scalable hybrid cloud- and federated-local-installation-based platform. PRS accesses 100%, real-time information on aggregated patient populations, across institutions and geographies. User-friendly and accessible by web browser; no software installation is needed. Notifications are received by e-mail, SMS, or push messages.

How It works?

DATA + natural language processing + medical ontologies + machine learning
Artificial intelligence and natural language processing to extract tens of thousands of new clinical data points – symptoms, diagnoses, treatments, genomics, lifestyle data, and more – turning fragmented medical documents into unified patient graphs that contain all the information needed to match complex clinical trial criteria.

Clinical data is distilled into key elements – such as symptoms, diagnoses, treatments, test results, genomics, socio-economics and more – while masking protected health information.

Thousands of clinical data points extracted from the medical record are aggregated into a multi-dimensional clinical profile.

Researchers, analysts and doctors can use these multidimensional profiles to find and compare patients, cohorts and populations at machine speed.

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