healthcare-emr-patterns
Helps your agent create development patterns for healthcare systems. It focuses on clinical safety, encounter workflows, and prescription generation. It's useful when building electronic health record features.
What it does
This code helps build safer and easier-to-use electronic medical record (EMR/EHR) systems. It focuses on protecting patients, ensuring information accuracy, and making doctors' work more efficient.
When to use it
- ✓When building a patient's visit workflow.
- ✓When creating a system for safely prescribing medications.
- ✓When designing accessible forms for medical data entry.
Example of what to ask your AI
“How can I ensure the medical record system warns about dangerous drug interactions?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
It sets clear rules, like always warning about dangerous drug interactions and never letting them go unnoticed. It also organizes the patient's visit on a single page for easier tracking.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add affaan-m/ECC --skill healthcare-emr-patternsOr download just the file:
curl -L https://raw.githubusercontent.com/affaan-m/ECC/main/skills/healthcare-emr-patterns/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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
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
…
FAQ
What does 'patient safety first' mean?
It means that any design decision must be thought through to avoid any possibility of harming the patient, such as warning about dangerous medications.
What is a 'single-page encounter flow'?
It's a way to organize patient visit information on a single screen, scrolling from top to bottom, without needing to switch between tabs or pages.
Why is an 'audit trail' important?
An audit trail keeps a history of all changes made to patient data, showing who made the change, when, and what was changed, ensuring transparency and security.
Details
Original description by the author
EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry. Use when building EMR or EHR features such as encounter workflows, prescription generation, or clinical data entry UI.
repo: affaan-m/ECC
Popularity
- GitHub stars
- 280k
- Ranking position
- #201
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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