The Med AI Platform is 19 interoperable services covering ED triage, sepsis, deterioration, bed management, oncology risk, waiting-list intelligence and discharge orchestration. Engineered end to end. Locally instrumented. Ready for a HIHI-framed clinical pilot. Aligned to the HSE "AI for Care 2026 to 2030" Year-1 priorities.
These are not vendor projections. They are figures published by INMO, the HSE, the Department of Health and the NTPF in the last 12 months. Every one of them maps to a specific platform module.
Existing AI deployments in Ireland are point products. Aidoc for radiology at the Mater. eAltra for pre-chemo at St James's. Oneview for patient engagement at CHI. There is currently no integrated AI platform covering ED triage, deterioration, bed management, oncology risk and waiting-list intelligence in a single system. That gap is the one this platform fills.
This is a working platform deliberately engineered against Ireland's three governing health-tech strategies and the National Cancer Strategy 2017 to 2026.
FastAPI microservices, MongoDB durable event log, Kafka (Redpanda) streaming, React + TypeScript dashboard. Every prediction carries a SHAP rationale; every clinical action publishes a Kafka domain event auditable from app_17 (GDPR).
Modelled on a representative ~600-bed Model 4 acute hospital, ~75,000 ED attendances and ~20,000 inpatient discharges per year. Calibrated against published deployments at scale: Qventus reduces excess bed-days 20 to 35% across US health systems; GE Command Centre cut ED wait 35% at Johns Hopkins; Bradford NHS deployed it in the UK. The pilot exists to produce the Irish-context number that replaces these.
| Line item | Year 1 | Year 2 | Year 3 | Calculation basis |
|---|---|---|---|---|
| Platform licence + integration | €1.8M | €1.2M | €1.2M | Indicative only. Final commercials post-pilot. |
| HSE-side implementation effort | €0.6M | €0.3M | €0.2M | ~6 FTE × Y1 ramp; ~2 FTE BAU. |
| Total cost | €2.4M | €1.5M | €1.4M | |
| Bed-days released (mid-case) | €8M | €18M | €22M | ~1 day mean LOS reduction × 20k discharges × ~€1,000/bed-day (HSE BIU range €800 to €1,200). |
| Avoided oncology readmissions | €0.4M | €0.8M | €1.0M | ~150 avoided × ~€6,500 average admission cost. |
| Documentation-time recovery | €0.8M | €1.6M | €2.0M | ~50 min / consultant / day × ~150 consultants × ~€80/hr (pro-rata). |
| Net benefit | €6.8M | €18.9M | €23.6M | |
| Payback (mid-case) | < 4 months | Sensitive to LOS-reduction realisation rate. |
Bed-day value is notional throughput, not cash. Cash equivalent depends on whether released capacity admits more elective patients (revenue) or closes winter-pressure escalation beds (cost avoidance). Both are valid HSE business-case framings. Sepsis mortality reduction is intentionally not monetised.
The lowest-risk path to a credible HSE-wide reference is a single Model 4 site running the front-door bundle (ED Triage + ED Flow + Trolley Watch + Bed Management) under the Health Innovation Hub Ireland framework, with HSE Demand and Capacity Visualisation as the downstream procurement target.
At pilot kickoff, three success metrics are agreed with HSE clinical sponsors. Candidates: door-to-doctor time (front-door bundle), NEWS2-score-to-escalation latency (deterioration bundle), 30-day oncology readmission stratification (cancer bundle). At week 12, if none of the three move in the right direction by a clinically meaningful margin, the pilot terminates and HSE owes nothing. No licence, no integration cost, no ongoing obligation. The hypothesis is falsifiable. The downside is bounded.
Already runs Aidoc. AI-friendly executive. Large urban ED.
Largest hospital. NCCP centre. Runs eAltra pilot.
"Ruadhan" RPA bot already live. HSE West innovation appetite.
Neuroscience centre. Persistent ED pressure.
Manchester Triage System mapping. Irish ESI to MTS retrain. ICD-10-AM alignment. EU AI Act technical files.
Front-door bundle in production. FHIR Gateway resource mapping completed. Irish validation cohort begins.
Oncology + Discharge + Bed Mgmt live. HIHI.AI 2026 national call submission with 2 reference sites.
ICU bundle live. Three-site reference deck. HSE Demand and Capacity Platform engagement opens.
I'm Harishankar Somasundaram, an MSc Artificial Intelligence graduate based in Ireland. I built this platform solo, end to end, over the course of my MSc. Not as a commercial product, but as a working artefact for a thesis proposition: Ireland's acute hospital crisis isn't solvable by another point product, and the missing piece is a single integrated AI substrate covering the front door, the ward, the ICU, the cancer pathway and the back door.
To be precise about state. 19 FastAPI services and a unified React dashboard run end to end on a developer workstation today, with a Kafka event spine, durable Mongo event log, Helm charts, and Prometheus / Loki / Jaeger observability. None are clinically deployed yet. Models are MIMIC-IV-trained. External validation on eICU-CRD, Irish ICD-10-AM coding alignment, and Manchester Triage System retraining are explicit Phase 1 deliverables, not assumed.
Not asking HSE to buy anything. Asking for a 12-week pilot at one site under HIHI, with a falsification clause: if the pilot doesn't produce a measurable reduction in one of door-to-doctor time, NEWS2-to-escalation latency, or oncology-readmission stratification accuracy, the pilot ends and HSE owes nothing. Why HSE specifically: this was built in Ireland, against Irish published numbers, for an Irish problem. Sending it to NHS England or a US system would be intellectually dishonest about who it was built for.
Happy to walk HSE clinical and technical teams through the platform, then put a HIHI submission in front of the next national call. The technical work is done. The regulatory work is in flight. The remaining variable is HSE's choice of pilot site.