healthcare-emr-patterns

Solid

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.

AI & Automation 201,447 stars 30903 forks Updated yesterday MIT

Install

View on GitHub

Quality Score: 96/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# 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 (dr...

Details

Author
affaan-m
Repository
affaan-m/everything-claude-code
Created
4 months ago
Last Updated
yesterday
Language
JavaScript
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Solid

healthcare-cdss-patterns

Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.

201,447 Updated yesterday
affaan-m
AI & Automation Solid

healthcare-eval-harness

Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.

201,447 Updated yesterday
affaan-m
AI & Automation Solid

clinical-decision-support-rules

Develop and maintain clinical decision support rules including alerts, reminders, order sets, and evidence-based recommendations within EHR systems

1,160 Updated today
a5c-ai
AI & Automation Listed

sc-healthcare

Tier-1 strategy-consultant analysis tailored for healthcare / hospital ops problems — readmissions, length of stay, access, outcomes, throughput. Same five frameworks as the generic master, with healthcare-aware MECE defaults, industry vocabulary, and common root-cause patterns. Use for clinical-operations problems.

4 Updated 1 weeks ago
ConrayGambit
AI & Automation Featured

abridge-reference-architecture

Implement Abridge reference architecture for clinical AI integration. Use when designing a new Abridge deployment, reviewing project structure, or planning multi-site health system rollouts with EHR integration. Trigger: "abridge architecture", "abridge project structure", "abridge system design", "abridge multi-site".

2,274 Updated today
jeremylongshore