Auracare
Auracare is building a unified healthcare pipeline that encodes a patient's daily life, records, and consultations into a single SNOMED-encoded history, then reasons over it to support clinical decisions. The system integrates proprietary examination devices, live vitals, and knowledge graphs to generate ranked differentials and prescribing recommendations. A patient portal connects wearables and apps, returning advice as habit-tuned reminders to close the care loop.
- Healthcare Technology
- Digital Health
- Data & Analytics
- Software Only
- Artificial Intelligence
- Medical Devices
- Hardware
- Internet of Things
Funding
Founders
Founder details are not available yet.
Product
Problem
Frontline clinicians often lack a complete picture of a patient's daily life, exam results, and consultation history, leading to fragmented care and suboptimal treatment decisions. Existing systems fail to integrate these data streams, limiting the ability to deliver truly personalized medicine.
Solution
Auracare provides a three-stage pipeline that aggregates a patient's daily life data, examination results, and consultation notes into a unified, SNOMED-encoded history. The CDSS core reasons over this aggregated data alongside live vitals from proprietary examination devices, generating ranked differentials and guideline-aligned prescribing recommendations. The output stage delivers documentation, tailored drug selections, and lifestyle plans directly into existing clinic systems, with insights feeding back to enrich the patient's history. This continuous loop ensures each appointment starts with a fuller picture, improving decision-making and care continuity.
Target Audience
Primary customers are UK primary care clinics and pharmacies, particularly those seeking to integrate clinical decision support and personalized medicine into their existing workflows.
Features
- Data aggregation engine that encodes bio-psycho-social history using SNOMED CT, ICD-11, LOINC, and HPO terminologies
- CDSS core with prescribing guidance, reasoning over aggregated history, live vitals, and consultation transcription
- Proprietary examination devices (3 built, certification targeted 2027) that feed real-time vitals into the reasoning engine
- Output module that writes documentation into existing provider systems and ranks differentials against the patient's own history
- Live, explorable ontology graph with 532k SNOMED CT concepts and 1.3M relationships, plus integration of PrimeKG and Hetionet knowledge graphs
- Patient portal that returns advice as habit-tuned reminders and monitors follow-through, closing the care loop