Healthcare Emr PatternsSAFE
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Overview
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
bd656e3e97c4OBSERVED · 2026-09-20What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: healthcare-emr-patterns
description: 電子医療記録(EMR)パターン、相互運用性、およびHL7/FHIR統合。
origin: Health1 Super Speciality Hospitals — contributed by Dr. Keyur Patel
version: "1.0.0"
---
# Healthcare EMR Development Patterns
Patterns for building Electronic Medical Record (EMR) and Electronic Health Record (EHR) systems. Prioritizes patient safety, clinical accuracy, and practitioner efficiency.
## When to Use
- Building patient encounter workflows (complaint, exam, diagnosis, prescription)
- Implementing clinical note-taking (structured + free text + voice-to-text)
- Designing prescription/medication modules with drug interaction checking
- Integrating Clinical Decision Support Systems (CDSS)
- Building lab result displays with reference range highlighting
- Implementing audit trails for clinical data
- Designing healthcare-accessible UIs for clinical data entry
## How It Works
### Patient Safety First
Every design decision must be evaluated against: "Could this harm a patient?"
- Drug interactions MUST alert, not silently pass
- Abnormal lab values MUST be visually flagged
- Critical vitals MUST trigger escalation workflows
- No clinical data modification without audit trail
### Single-Page Encounter Flow
Clinical encounters should flow vertically on a single page — no tab switching:
```
Patient Header (sticky — always visible)
├── Demographics, allergies, active medications
│
Encounter Flow (vertical scroll)
├── 1. Chief Complaint (structured templates + free text)
├── 2. History of Present Illness
├── 3. Physical Examination (system-wise)
├── 4. Vitals (auto-trigger clinical scoring)
├── 5. Diagnosis (ICD-10/SNOMED search)
├── 6. Medications (drug DB + interaction check)
├── 7. Investigations (lab/radiology orders)
├── 8. Plan & Follow-up
└── 9. Sign / Lock / Print
```
### Smart Template System
```typescript
interface ClinicalTemplate {
id: string;
name: string; // e.g., "Chest Pain"
chips: string[]; // clickable symptom chips
requiredFields: string[]; // mandatory data points
redFlags: string[]; // triggers non-dismissable alert
icdSuggestions: string[]; // pre-mapped diagnosis codes
}
```
Red flags in any template must trigger a visible, non-dismissable alert — NOT a toast notification.
### Medication Safety Pattern
```
User selects drug
→ Check current medications for interactions
→ Check encounter medications for interactions
→ Check patient allergies
→ Validate dose against weight/age/renal function
→ If CRITICAL interaction: BLOCK prescribing entirely
→ Clinician must document override reason to proceed past a block
→ If MAJOR interaction: display warning, require acknowledgment
→ Log all alerts and override reasons in audit trail
```
Critical interactions **block prescribing by default**. The clinician must explicitly override with a documented reason stored in the audit trail. The system never silently allows a critical interaction.
### Locked Encounter Pattern
Once a clinical encounter is signed:
- No edits allowed — only an addendum (a separate linked record)
- Both original and addendum appear in the patient timeline
- Audit trail captures who signed, when, and any addendum records
### UI Patterns for Clinical Data
**Vitals Display:** Current values with normal range highlighting (green/yellow/red), trend arrows vs previous, clinical scoring auto-calculated (NEWS2, qSOFA), escalation guidance inline.
**Lab Results Display:** Normal range highlighting, previous value comparison, critical values with non-dismissable alert, collection/analysis timestamps, pending orders with expected turnaround.
**Prescription PDF:** One-click generation with patient demographics, allergies, diagnosis, drug details (generic + brand, dose, route, frequency, duration), clinician signature block.
### Accessibility for Healthcare
Healthcare UIs have stricter requirements than typical web apps:
- 4.5:1 minimum contrast (WCAG AA) — clinicians work in varied lighting
- Large touch targets (44x44px minimum) — for gloved/rushed interaction
- Keyboard navigation — for power users entering data rapidly
- No color-only indicators — always pair color with text/icon (colorblind clinicians)
- Screen reader labels on all form fields
- No auto-dismissing toasts for clinical alerts — clinician must actively acknowledge
### Anti-Patterns
- Storing clinical data in browser localStorage
- Silent failures in drug interaction checking
- Dismissable toasts for critical clinical alerts
- Tab-based encounter UIs that fragment the clinical workflow
- Allowing edits to signed/locked encounters
- Displaying clinical data without audit trail
- Using `any` type for clinical data structures
## Examples
### Example 1: Patient Encounter Flow
```
Doctor opens encounter for Patient #4521
→ Sticky header shows: "Rajesh M, 58M, Allergies: Penicillin, Active Meds: Metformin 500mg"
→ Chief Complaint: selects "Chest Pain" template
→ Clicks chips: "substernal", "radiating to left arm", "crushing"
→ Red flag "crushing substernal chest pain" triggers non-dismissable alert
→ Examination: CVS system — "S1 S2 normal, no murmur"
→ Vitals: HR 110, BP 90/60, SpO2 94%
→ NEWS2 auto-calculates: score 8, risk HIGH, escalation alert shown
→ Diagnosis: searches "ACS" → selects ICD-10 I21.9
→ Medications: selects Aspirin 300mg
→ CDSS checks against Metformin: no interaction
→ Signs encounter → locked, addendum-only from this point
```
### Example 2: Medication Safety Workflow
```
Doctor prescribes Warfarin for Patient #4521
→ CDSS detects: Warfarin + Aspirin = CRITICAL interaction
→ UI: red non-dismissable modal blocks prescribing
→ Doctor clicks "Override with reason"
→ Types: "Benefits outweigh risks — monitored INR protocol"
→ Override reason + alert stored in audit trail
→ Prescription proceeds with documented override
```
### Example 3: Locked Encounter + Addendum
```
Encounter #E-2024-0891 signed by Dr. Shah at 14:30
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
bd656e3e97c4full audit observations/trust-audit/skill/affaan-m__healthcare-emr-patterns.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-09-20 | bd656e3e97c4 | SAFE | B | 89 | first audit |
Questions
What does the Healthcare Emr Patterns skill do?
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Is Healthcare Emr Patterns safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Healthcare Emr Patterns access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (bd656e3e97c4), read on 2026-09-20. The repository is watched, and a new audit runs when it changes — this is the first audit.