Dr Aswini Misro
CEO & Innovation Lead
Meeting
- 30m
Discovery Call – YouDiagnose
- 20m
A brief 20-minute call to explore how YouDiagnose's AI-driven clinical decision support platform could be relevant to your work. No commitment required — just a conversation.
Heal@Home is a clinically led, NHS‑partnered AI platform built to expand clinical capacity without adding headcount.
Designed by a multidisciplinary team — led by a vascular surgeon, supported by PhD‑level data scientists, frontline NHS clinicians, and product leaders from FTSE 100 enterprise technology — Heal@Home embeds seamlessly into existing Trust workflows to strengthen three critical pressure points: triage, clinical assessment, and post‑discharge monitoring.
We are not a generic AI product. Heal@Home is:
- MHRA Class I certified (Ref 13687) with a structured pathway to Class IIb by Q4 2026
- DCB0129 and DCB0160 compliant, with full clinical safety documentation available
- NIHR‑funded and peer‑reviewed, published in the European Journal of Breast Health (2025) and presented at ASGBI, ACS Quality & Safety, and BMJ Net Zero Clinical Care
- Validated across 12,000 real‑world NHS patient cases, benchmarked against 23 NHS‑approved symptom checkers
- Active in 6 NHS Trusts, with funded trials commencing in 2026
Our published diagnostic accuracy is 83%, compared with 33% for standard symptom checkers and 50.6% for clinician‑only assessment, with 94.7% sensitivity for malignancy (AUC 0.91).
Heal@Home is a Clinician‑in‑the‑Loop platform.
AI predicts and prepares. The clinician validates and decides. Always.We collaborate with NHS organisations, AHSNs, NIHR, and academic partners including London North West NHS Trust, Bournemouth University, Brunel University, and the University of Hull.
Heal@Home is also supported by leading innovation programmes, including:
- Barclays CodeBase Accelerator (top 5% of applicants)
- NVIDIA Inception Program
- Warwick Enterprise / Innovation District
- NHS Clinical Entrepreneurship Programme (Cohort 9, 2025–26)
- Published Clinical Evidence
European Journal of Breast Health
PubMed Indexed, 2025
83% diagnostic accuracy · 94.7% sensitivity for malignancy · AUC 0.91 Benchmarked against 23 NHS-approved symptom checkers
Cost-Effectiveness Data
ACS Quality & Safety Conference, Denver, 2024
£65.57 vs £154.84 per consultation · 57.7% cost saving · 64.5% reduction in consultation time
NIHR-Funded Research
NIHR i4i Award, Patient Acceptance
Inappropriate Referrals and the Worried Well Phenomenon 112 consecutive NHS patients · 10 behavioural categories · SUS usability score 86.41
I am Dr Aswini Misro, Founder and Innovation Lead of Heal@Home (YouDiagnose). I sit at the intersection of clinical medicine, business, and machine learning — bringing together frontline NHS experience, entrepreneurial practice, and applied AI to build tools that genuinely work in real clinical environments.
My interest in the business side of healthcare led me to start studying for an International Business Diploma in 2001. I am currently pursuing an Executive MBA at Warwick Business School at Shard@London. I trained as a vascular surgery specialist and completed my surgical training in 2006.
Before Heal@Home, I founded and ran a telemedicine company from 2013 to 2019, focused on digital health services, electronic medical records and automation of healthcare operations. We completed five clinical trials during that period, which gave me a grounding in what it takes to move from idea to evidence in a regulated healthcare environment.
Books: Patient 2.0 | Patient 3.0 | Patient 4.0
I have written extensively on patient-centred and technology-driven healthcare. My books include Patient-Centric Healthcare, The Future of Healthcare, Technology-Driven Healthcare, Profit-Based Medicine, and the Patient 2.0 / 3.0 / 4.0 series.
At Heal@Home, I work across the technical, clinical-trial and commercial teams — focused on turning real-world NHS pressure points into products that are clinically credible, economically viable, and practical for everyday use.