PATIENT-SPECIFIC
MODEL
An Evolving, Patient-Specific Model of Health
The proposed MediQAI architecture connects multimodal sensing, a patient-specific Physiological Digital Twin and predictive intelligence within one coordinated, longitudinal system. The proposed MediQAI Physiological Digital Twin is designed to create an evolving, patient-specific representation by connecting multimodal physiological signals with symptoms, medication, behaviour, medical history and clinical context.
Instead of evaluating each reading in isolation, the proposed model develops longitudinal context around the individual’s evolving baseline. This may help distinguish ordinary variation from potentially meaningful changes that justify closer review.
Four Technology Layers Working as One
The proposed Physiological Digital Twin brings together signals, personal context, longitudinal patterns and predictive analysis within one evolving representation of the individual.
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Unified Health Context
Designed to connect multimodal physiological signals with symptoms, medication, behaviour, medical history and relevant clinical information rather than maintaining them as separate records.
Patient-Specific Baseline
The proposed model develops an evolving baseline for the individual, reflecting their characteristic physiological patterns and changes over time rather than relying only on general population thresholds.
Evolving Longitudinal Model
New physiological readings and contextual information progressively update the Digital Twin, creating a time-based representation of the individual’s changing health state.
Predictive Clinical Support
Predictive intelligence is designed to evaluate changes against the evolving Digital Twin, identify potentially meaningful patterns and support earlier clinician-directed review.
How the Physiological Digital Twin Is Intended to Work
CAPTURE
CONNECT
CONTEXTUALISE
UPDATE
DETECT
REVIEW
Designed to Understand Change in Context
A conventional digital record primarily stores historical information, while a monitoring dashboard generally displays current measurements. The proposed MediQAI Physiological Digital Twin is intended to connect historical, contextual and incoming information within an evolving patient-specific model.
Its purpose is not to create a visual avatar or replace clinical judgement. It is designed to organise longitudinal evidence, understand change relative to the individual and support authorised healthcare professionals with more connected information.
The MediQAI Physiological Digital Twin is a patent-pending technology concept under development. Its models, algorithms, clinical functions and decision-support pathways will require technical verification, controlled clinical validation, data-governance controls, quality assurance and applicable regulatory authorisation before medical or commercial use.
