Allvi extends frontline clinical capacity into the space between appointments — delivering continuous, AI-powered support for patients with hormonal and chronic conditions, and feeding structured longitudinal data back to the clinicians who need it most.
Chronic conditions are not episodic. Their symptoms — fatigue, brain fog, pain, mood disruption — shift day to day, driven by triggers that vary across patients. A fifteen-minute appointment every six months captures a single snapshot of a moving picture.
Pattern identified: Stress is the primary symptom driver. Sleep has negligible independent impact. This finding cannot emerge from a single appointment — it requires longitudinal data.
Allvi operates as an extension of frontline clinical capacity — not a replacement. No change to existing workflows. No new systems for clinicians to learn.
Every daily interaction generates a structured data point across multiple symptom dimensions simultaneously. Over 35 days, that is 35 longitudinal data points — enabling pattern recognition that a single appointment never could.
Patients arrive with structured longitudinal data — not a vague memory of how they have been feeling. The complexity of overlapping symptoms is already unpacked. Clinicians make faster, more informed decisions in the time they have.
Patients with structured daily support make fewer unnecessary GP contacts and A&E attendances. Allvi absorbs the between-visit demand that currently falls on overstretched frontline workers — without requiring anything from them.
Allvi's technology layer operates continuously between appointments — ingesting patient-generated data, identifying patterns, and delivering structured outputs that make every clinical interaction more effective. All clinical decisions remain with the clinician.
Structured, daily. Across multiple symptom dimensions simultaneously.
Continuously analyses longitudinal patient data. Surfaces clinically meaningful signals. Never diagnoses or prescribes.
Structured outputs that make every clinical interaction faster and more informed.
* AI-powered analysis supports clinical decision-making and is reviewed by Allvi's specialist care team. It does not replace clinical judgement, diagnosis, or prescribing authority.
Initial pilot data from patients with hormonal chronic conditions — thyroid disease, PCOS — managed through Allvi's continuous care model. Clinical study protocol in development.
Over 35 days of structured daily data collection, Allvi's AI identified that stress was the overwhelmingly primary driver of a patient's symptom flares — while sleep, the assumed primary factor, had almost no independent impact. This finding could not have emerged from a single appointment. It required longitudinal data.
Patient-reported outcome measures from initial pilot cohort. Clinical study protocol in development. Individual results may vary.
Allvi is designed for partnerships with NHS organisations, ICBs, PCNs, and private health providers managing chronic condition populations at scale.
Allvi supports ICBs in reducing the between-visit demand burden on overstretched primary care — while improving outcomes for chronic condition populations.
Allvi extends the capacity of GP practices and practice nurses — providing the ongoing support that chronic condition patients need, without increasing clinical headcount.
Allvi is seeking partnership with digital health innovation programmes — including NHSX, Grow Digital Health, and regional innovation hubs — to pilot and evaluate the model at scale.
Allvi is designed to be deployed alongside existing care pathways — as a structured pilot, a commissioned service, or an integrated referral pathway.
A co-designed pilot with a defined patient cohort over 3–6 months — evaluating patient outcomes, system burden reduction, and clinical data quality.
For health organisations ready to commission Allvi as a structured chronic condition self-management and early intervention service.
We are actively seeking NHS and health system pilot partnerships. If you are responsible for chronic condition pathways, digital health innovation, or integrated care commissioning, we would like to speak with you.
Or reach us directly at support@allvihealth.com · allvihealth.com