Built for clinical rigor,
designed for scale
A cloud-native platform that structures patient-reported data into FHIR-native behavioural markers, turning it into intelligence on dropout, adherence and engagement across complex care journeys.
+1.700
FHIR Clinical Markers
54K+
Women evaluated
4
Clinical Domains
FHIR R4
Interoperability Standard
Two engines, one platform
The platform is architecturally separated into two independent cores, ensuring clean boundaries between the user experience and the clinical intelligence engine.
Mential Connect
Experience & Interoperability Layer
The patient-facing and professional-facing layer. Handles all user interactions, data collection, and third-party integrations.
Mential Marker Engine
Clinical Intelligence Engine
The clinical brain. Processes all patient-reported data, maintains the longitudinal patient profile, runs the marker models, and generates intelligence on dropout, adherence and engagement.
This architectural separation is by design. It enables independent certification paths for regulatory compliance (MDR), clear security boundaries, and modular deployment options for OEM partners.
Healthcare-grade data, structured by architecture, not bolted on later.
A longitudinal patient profile
Every patient has a living, longitudinal profile of their clinical state, continuously updated as new patient-reported data flows in, providing a multidimensional picture that goes far beyond periodic questionnaires.
+1,700 Structured Clinical Markers
Across 4 domains: Mind, Body, Behaviour, and Socio-demographic. Each one coded as a FHIR R4 resource.
Real-Time Updates
Every tracker entry, session recording, questionnaire response, or passive signal updates the profile automatically, with no manual clinician input required.
Longitudinal & Multidimensional
Not a snapshot, but a time-series of the patient's evolving clinical state, enabling trajectory analysis and early intervention.
Patient profile
Mind
Affect · Cognition
Behaviour
Sleep · Activity
Body
Nutrition · Vitals
Social
Relationships
How data becomes clinical intelligence
The DMIP framework (Dynamic Multimodal Interpretation and Prescription) processes every patient interaction, extracting structured clinical insights from unstructured data, in real time.
Module 1
Interpretation
AI extracts clinical markers from every patient data source: clinical sessions, daily trackers, conversations, and even passive mobile signals.
Multimodal Sources
Video, audio, text from sessions, chatbots, and trackers
In-App Behaviour
Navigation patterns, engagement rates, session frequency
Passive Signals
Screen time, call patterns, mobility data from device sensors
Module 2
Prediction
Forecasts clinical trajectory 1–7 days ahead using temporal sequences of markers. Enables preventive intervention before deterioration becomes visible.
Module 3
Dynamic Prescription
Selects the optimal intervention from 300+ therapeutic exercises, personalised to the patient's current state and treatment history.
account_treeHow data flows through Mential
Unstructured input
Free-text notes, questionnaires, voice, app usage
Mential Engine
AI extraction and clinical structuring
Structured data
FHIR R4 clinical markers, coded and versioned
Report / Alert
Delivered to the care team or your system
The same flow powers every product: from a single API call to the full monitoring and treatment platform.
Healthcare-grade data from day one
Unlike platforms that bolt clinical standards on later, Mential stores all data natively as FHIR R4 resources, the international standard for healthcare interoperability.
Full Interoperability
Export FHIR Bundles to any hospital EHR, research platform, or regulatory body. No data transformation needed.
Clinically Coded
Markers use LOINC and SNOMED CT coding, mapped to validated instruments like BDI-II, BSI-18, GAI, PSQI, and SF-36.
Normalised Scale
All observations include a 0–1 normalised value (0 = healthy, 1 = pathological) for cross-domain comparison and trajectory modelling.
Audit Trail
Every data point is timestamped, attributed, and versioned, giving complete traceability for clinical governance and regulatory review.
Enterprise-grade security for sensitive health data
Mential processes special-category health data under GDPR Article 9. Security is foundational to the architecture, not an afterthought.
Encryption
Access Control
Data Protection
EU Data Residency
Regulatory Framework
GDPR
Art. 9 compliant. Special-category health data.
CE/MDR Pathway
Pursuing medical device certification.
FHIR R4
Native interoperability with hospital systems.
Clinical terminology catalog on Simplifier.net: 1,700+ concepts (SNOMED CT & LOINC).
View technical documentationarrow_downwardDesigned as infrastructure
The API layer enables external systems to consume Mential's clinical intelligence.
API-First
RESTful APIs for patient management, clinical data, care plans, and marker extraction. OpenAPI specification available for partner integration.
White-Label Ready
OEM integration model: you control the UX, Mential provides the clinical intelligence backend. FHIR Bundles, risk scores, and intervention recommendations via API.
EHR Compatible
FHIR R4 native data export. Generate patient records, observation bundles, and treatment data in standard format for hospital system integration.
For developers
The full FHIR resource model and our public clinical terminology catalog, for engineering teams evaluating integration.
FHIR R4 Terminology
Our clinical catalog is publicly available on Simplifier.net, the official HL7 FHIR registry. 1,700+ structured concepts mapped to SNOMED CT and LOINC.
View Mential FHIR Catalog on Simplifierarrow_forwardFHIR R4 Data Model
Demographics, identifiers, consent records
+1,200 quantitative markers
LOINC / SNOMED coded
+500 qualitative markers
ICD-10 / SNOMED coded
CarePlan
Questionnaire
Encounter
All clinical data stored natively as FHIR R4 resources via Google Cloud Healthcare API. Exportable as FHIR Bundles for EHR integration, research, and regulatory submissions.
Supervised AI, not black boxes
Five specialised AI agents coordinate clinical reasoning, patient engagement, risk monitoring, and treatment delivery. Every AI action is explainable, auditable, and governed by clinical rules.
No autonomous clinical decisions are made without rule-based guardrails. The agentic architecture ensures transparency for clinicians, patients, and regulators alike.
Clinical Agent
Clinical reasoning, alert generation, and treatment plan adjustments
Engagement Agent
Optimises interaction timing, content personalisation, and adherence
Risk Agent
Risk indicators, escalation triggers, and crisis detection
Administrative Agent
Scheduling, appointment management, and operational queries
Exercise Agents
Guide patients through therapeutic exercises from the intervention catalogue
Ready to see the platform in action?
Schedule a technical demo to see how Mential's infrastructure can power your patient programs.
