AI for Healthcare
Hospitals, clinics, and digital-health products that need clinical-decision support, documentation automation, or patient-facing AI built to a regulated bar.
The pain points healthcare teams keep hitting
- Most AI vendors don't understand HIPAA, NHS DSP Toolkit, or NICE guideline integration
- Clinical-decision support without proper guardrails is a malpractice risk
- EHR integration (Epic, Cerner, EMIS) is a multi-month project no one warns you about
Where AI moves the needle in healthcare
- Clinical-decision support with cited guidelines. Cuts physician research time 30–60%
- Documentation autocompletion (SOAP notes). Saves 1–2 hours per clinician per day
- Patient triage and intake automation. Reduces front-desk load and patient wait times
- CV screening for healthcare hiring. Cuts time-to-hire 40–60%
Example use cases we've shipped
- GDPR/NHS-compliant clinical decision support with NICE guideline citations and risk assessments
- AI-powered symptom analysis with role-based clinician access and hospital-isolated data
- Medical document classification + triage routing
Compliance & risk notes
HIPAA (US), NHS DSP Toolkit + UK GDPR (UK), Sharia + UAE PDPL (UAE). Patient-context awareness, evidence citation, and risk assessment must be baked into the architecture — not bolted on.
healthcare case studies
- AgenticAI - AI-Powered CV Screening Platform — An intelligent recruitment platform that uses AI to analyze and rank CVs against job requirements, helping companies find perfect candidates in minutes instead of weeks.
- Synthicare - NHS AI Clinical Decision Support — Synthicare is an AI-powered healthcare platform designed for NHS professionals, providing real-time diagnostic assistance, patient management, and clinical decision support integrated with NICE guidelines.
Common questions from healthcare teams
- Have you shipped a real clinical-decision-support product?
- Yes — Synthicare is a GDPR/NHS-compliant clinical decision support platform with NICE guideline integration, multi-role access (admin/supervisor/doctor), and hospital-isolated data. Live in production.
- How do you handle PHI in prompts?
- PII redaction at the prompt-construction layer, BAA-signed model providers (Azure OpenAI / Anthropic via AWS Bedrock for HIPAA), and an audit log with content hashes (not raw content).
- Can the AI ever make a clinical decision unattended?
- No. Every recommendation is decision-support — a physician confirms before any action. The system is built to assist, not autonomously prescribe.