Lenus Digital Health Platform

Lenus enables patient generated health data in form of physiology and patient reported outcomes from apps, wearables and sensors to be shared with health professionals and machine learning models as part of new care pathways.

The platform offers a suite of FHIR Data APIs, identity, access and consent management services.

A suite of EHR connectors provides healthcare organisations with a single point of integration for data gathered from patient facing digital health services and is compliant with OpenEHR.

Lenus can be be deployed as SaaS model or to client managed Azure tenancy with options for federated identity management, custom branding, end point domains and EHR connectors.

Features:

• Supports new care pathways that leverage patient facing digital services
• Share data from wearables, sensors and apps to dashboards/EHR
• Connect new and existing patient facing services via APIs
• Apple HealthKit and Google Fit integration
• GDPR compliant consent model
• Federated identity
• Enforce data interoperability using HL7 FHIR and OpenEHR
• Custom service interfaces for clinicians
• Remote monitoring and messaging
• Machine assisted diagnosis and alerts

Benefits:

• Support new care pathways that are preventative and continuous
• Combine patient-monitoring with machine-assisted decision support for early intervention
• Deliver operational efficiencies by reducing need for face-to-face contact
• Empower patients with access to their own health data
• Support self-management of long term conditions
• Move the burden of care from acute setting into community
• Enforce interoperability and security standards for patient-facing services
• Offer single point of integration for all patient generated data
• Open Platform with developer portal. No vendor lock-in
• Privacy by design with GDPR compliant consent model

Use Cases:

• Prevent unnecessary hospital admissions through remote monitoring of patients
• Reduce unnecessary face to face appointments through custom data requests submitted remotely
• Improve individuals' engagement with their own health and adherence to medication
• Reduce duplication and unnecessary processes through user managed access to patient data
• Personalised care plans by utilising patient generated data as part of assessment
• Population health studies and algorithm development through pre-consented patient data streams