AI that helps hospital teams and never decides for them
TechPro has 163 AI hooks across its 81 modules. They summarise, prioritise, draft, detect and explain. Each one sits inside a governed workflow with a named human who stays accountable.
What TechPro AI does
Summarise
What changed since yesterday? What is still pending for this patient?
Prioritise
Which tasks, results or discharges need attention first?
Draft
Notes, discharge summaries, patient messages and responses, prepared for review.
Detect
Turnaround bottlenecks, grievance themes, safety signals and anomalies.
Explain
Patient-friendly instructions, report explanations and status messages.
Protect
No autonomous diagnosis, no hidden routing, no overwriting of clinical truth.
Examples across the hospital
A few of the 163 hooks and who reviews them.
| Area | What AI does | Who stays accountable |
|---|---|---|
| Ward round | Summarises overnight vitals, results and nursing notes | Treating doctor |
| Discharge | Drafts the summary from the record | Treating doctor signs |
| Lab | Prioritises worklists by urgency and delay | Lab supervisor |
| Patient messages | Drafts plain-language explanations of reports and bills | Staff member who sends |
| Grievances | Groups complaints into themes for the quality team | Quality manager |
| Operations | Flags turnaround bottlenecks and unusual patterns | Unit head |
AI risk classes
An internal governance scale decides where AI may assist, where a human must review, and where AI is not allowed.
| Class | AI may | Example |
|---|---|---|
| Assist | Suggest or summarise; staff can ignore | Shift summary for a ward manager |
| Review required | Draft content that a named role must approve | Discharge summary draft for the treating doctor |
| Prohibited | Nothing | Diagnosis, signing, POSH findings, changing a result |
Class definitions from the TechPro platform design document; class assignments per hook are documented for customers.
When AI is not available
Every AI-assisted step has a safe fallback. If the AI service, an integration or an external provider fails, core clinical care continues through controlled manual or deterministic workflows. A doctor can always write a discharge summary without the draft.
AI activity is logged and auditable, and drift monitoring is part of the platform's service health checks.
Questions to ask any vendor about AI
What exactly does each AI feature do, and on what data? Who reviews its output before it affects a patient? What happens when it is wrong, and how is that reported? Can it be switched off per department? Where is the model hosted, and is your data used to train it? TechPro's design answers each of these, and we document the answers per hook for your governance committee.
Works with the rest of TechPro
Frequently asked questions
Does TechPro AI make diagnoses?
Can we turn AI features off?
Is patient data used to train external AI models?
Which AI hooks are switched on by default?
Review TechPro AI with your clinical governance team
We will walk through each AI hook you plan to use, its risk class and its fallback.