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.