Technology · Case study
Leading US Oncology Virtual Care Provider
Patients waited 7 to 8 hours for symptom triage, while care teams lacked the capacity to keep pace with rising volumes.
The context
A US healthcare innovator extending oncology support into patients' homes needed an intelligent system that could listen, understand and respond to patients instantly, without ever providing diagnosis or prescriptions, while keeping clinicians firmly in control of every decision.
At a glance
- Sector
- Technology
- Headline result
- <30minresponse time, down from 7 to 8 hours
- Service lines
- AI
What we did
The approach.
- 01
Built a clinically aware assistant
A GenAI virtual care assistant using OpenAI and advanced LLMs, evolved from traditional NLP into a full GenAI ecosystem.
- 02
Mimicked nurse triage protocols
Intelligent follow-up questions interpret patient symptoms and tailor responses to each patient's treatment stage and history.
- 03
Kept clinicians in control
The assistant handles routine interactions autonomously but escalates only when medically necessary, with clinicians reviewing every case.
- 04
Automated the paperwork
Auto-generated clinical SBAR summaries freed clinicians from admin work and gave nurses instant, structured context.
The outcome
What changed.
<30min
response time, down from 7 to 8 hours
8,000 hours
nursing hours saved annually per oncologist
90% faster
time to care via instant post-call summaries
More work
Other engagements.
FinTech
World-Leading Financial Information Company
Banking
Leading UK-Based Global Bank
Banking
Leading Financial Organisation, UK
Utilities
Leading US Power Generation & Distribution Utility
Utilities
Leading UK Water & Sewerage Utility
Let's talk
Want an outcome like this?
A senior engineer on the call from day one. Two weeks to a written architecture and a working reference build.