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Healthcare Eval Harness

Free

Automated patient safety verification for healthcare apps.

by affaan-m239.3k stars on affaan-m/ecc
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Updated Aug 10, 2026
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Free · Opens the source repo

What Healthcare Eval Harness does

The Healthcare Eval Harness is an automated verification system designed specifically for healthcare application deployments. It ensures that critical patient safety metrics are met before any deployment can proceed, effectively blocking any deployment that fails to meet these standards. This is particularly important in environments where electronic medical records (EMR) and electronic health records (EHR) are utilized, as the consequences of errors can be severe.

The harness operates by running a series of tests across five categories, with the first three categories—CDSS Accuracy, PHI Exposure, and Data Integrity—designated as critical gates. A 100% pass rate is required in these categories; any failure will block the deployment process. The remaining two categories—Clinical Workflow and Integration Compliance—are classified as high gates, requiring a minimum pass rate of 95%. This structured approach ensures that only thoroughly vetted applications are deployed, maintaining compliance with healthcare regulations and safeguarding patient information.

The tool is particularly useful for developers and teams working on healthcare applications, especially those involved in continuous integration and deployment (CI/CD) processes. It provides a clear framework for testing and validating changes made to clinical decision support systems (CDSS), database schemas, and authentication mechanisms. By integrating the eval harness into CI/CD pipelines, teams can automate the testing process, ensuring that any modifications to the application do not compromise patient safety or data integrity.

However, it is crucial to note that the harness is not a substitute for comprehensive manual testing or clinical validation. It should be used in conjunction with other testing methodologies to ensure a holistic approach to application safety and compliance in healthcare settings.

When to use it

Use this tool before deploying EMR/EHR applications or after making significant changes to clinical decision support logic.

When not to use it

This is not suitable for non-healthcare applications or for scenarios where manual validation is preferred over automated testing.

What you can build with it

Pre-deployment Verification

Run the eval harness before deploying any updates to EMR/EHR applications to ensure compliance with patient safety standards.

Post-modification Testing

Use the harness after modifying clinical decision support logic to validate that no errors have been introduced.

Continuous Integration

Integrate the eval harness into your CI/CD pipeline to automate patient safety checks for every build.

How to install Healthcare Eval Harness

View source

1. Install with the skills CLI

npx skills add affaan-m/ecc/healthcare-eval-harness --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by affaan-m

Healthcare Eval Harness — Patient Safety Verification

Automated verification system for healthcare application deployments. A single CRITICAL failure blocks deployment. Patient safety is non-negotiable.

Note: Examples use Jest as the reference test runner. Adapt commands for your framework (Vitest, pytest, PHPUnit, etc.) — the test categories and pass thresholds are framework-agnostic.

When to Use

  • Before any deployment of EMR/EHR applications
  • After modifying CDSS logic (drug interactions, dose validation, scoring)
  • After changing database schemas that touch patient data
  • After modifying authentication or access control
  • During CI/CD pipeline configuration for healthcare apps
  • After resolving merge conflicts in clinical modules

How It Works

The eval harness runs five test categories in order. The first three (CDSS Accuracy, PHI Exposure, Data Integrity) are CRITICAL gates requiring 100% pass rate — a single failure blocks deployment. The remaining two (Clinical Workflow, Integration) are HIGH gates requiring 95%+ pass rate.

Each category maps to a Jest test path pattern. The CI pipeline runs CRITICAL gates with --bail (stop on first failure) and enforces coverage thresholds with --coverage --coverageThreshold.

Eval Categories

1. CDSS Accuracy (CRITICAL — 100% required)

Tests all clinical decision support logic: drug interaction pairs (both directions), dose validation rules, clinical scoring vs published specs, no false negatives, no silent failures.

npx jest --testPathPattern='tests/cdss' --bail --ci --coverage

2. PHI Exposure (CRITICAL — 100% required)

Tests for protected health information leaks: API error responses, console output, URL parameters, browser storage, cross-facility isolation, unauthenticated access, service role key absence.

npx jest --testPathPattern='tests/security/phi' --bail --ci

3. Data Integrity (CRITICAL — 100% required)

Tests clinical data safety: locked encounters, audit trail entries, cascade delete protection, concurrent edit handling, no orphaned records.

npx jest --testPathPattern='tests/data-integrity' --bail --ci

4. Clinical Workflow (HIGH — 95%+ required)

Tests end-to-end flows: encounter lifecycle, template rendering, medication sets, drug/diagnosis search, prescription PDF, red flag alerts.

tmp_json=$(mktemp)
npx jest --testPathPattern='tests/clinical' --ci --json --outputFile="$tmp_json" || true
total=$(jq '.numTotalTests // 0' "$tmp_json")
passed=$(jq '.numPassedTests // 0' "$tmp_json")
if [ "$total" -eq 0 ]; then
  echo "No clinical tests found" >&2
  exit 1
fi
rate=$(echo "scale=2; $passed * 100 / $total" | bc)
echo "Clinical pass rate: ${rate}% ($passed/$total)"

5. Integration Compliance (HIGH — 95%+ required)

Tests external systems: HL7 message parsing (v2.x), FHIR validation, lab result mapping, malformed message handling.

tmp_json=$(mktemp)
npx jest --testPathPattern='tests/integration' --ci --json --outputFile="$tmp_json" || true
total=$(jq '.numTotalTests // 0' "$tmp_json")
passed=$(jq '.numPassedTests // 0' "$tmp_json")
if [ "$total" -eq 0 ]; then
  echo "No integration tests found" >&2
  exit 1
fi
rate=$(echo "scale=2; $passed * 100 / $total" | bc)
echo "Integration pass rate: ${rate}% ($passed/$total)"

Pass/Fail Matrix

CategoryThresholdOn Failure
CDSS Accuracy100%BLOCK deployment
PHI Exposure100%BLOCK deployment
Data Integrity100%BLOCK deployment
Clinical Workflow95%+WARN, allow with review
Integration95%+WARN, allow with review

CI/CD Integration

name: Healthcare Safety Gate
on: [push, pull_request]

jobs:
  safety-gate:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '20'
      - run: npm ci

      # CRITICAL gates — 100% required, bail on first failure
      - name: CDSS Accuracy
        run: npx jest --testPathPattern='tests/cdss' --bail --ci --coverage --coverageThreshold='{"global":{"branches":80,"functions":80,"lines":80}}'

      - name: PHI Exposure Check
        run: npx jest --testPathPattern='tests/security/phi' --bail --ci

      - name: Data Integrity
        run: npx jest --testPathPattern='tests/data-integrity' --bail --ci

      # HIGH gates — 95%+ required, custom threshold check
      # HIGH gates — 95%+ required
      - name: Clinical Workflows
        run: |
          TMP_JSON=$(mktemp)
          npx jest --testPathPattern='tests/clinical' --ci --json --outputFile="$TMP_JSON" || true
          TOTAL=$(jq '.numTotalTests // 0' "$TMP_JSON")
          PASSED=$(jq '.numPassedTests // 0' "$TMP_JSON")
          if [ "$TOTAL" -eq 0 ]; then
            echo "::error::No clinical tests found"; exit 1
          fi
          RATE=$(echo "scale=2; $PASSED * 100 / $TOTAL" | bc)
          echo "Pass rate: ${RATE}% ($PASSED/$TOTAL)"
          if (( $(echo "$RATE < 95" | bc -l) )); then
            echo "::warning::Clinical pass rate ${RATE}% below 95%"
          fi

      - name: Integration Compliance
        run: |
          TMP_JSON=$(mktemp)
          npx jest --testPathPattern='tests/integration' --ci --json --outputFile="$TMP_JSON" || true
          TOTAL=$(jq '.numTotalTests // 0' "$TMP_JSON")
          PASSED=$(jq '.numPassedTests // 0' "$TMP_JSON")
          if [ "$TOTAL" -eq 0 ]; then
            echo "::error::No integration tests found"; exit 1
          fi
          RATE=$(echo "scale=2; $PASSED * 100 / $TOTAL" | bc)
          echo "Pass rate: ${RATE}% ($PASSED/$TOTAL)"
          if (( $(echo "$RATE < 95" | bc -l) )); then
            echo "::warning::Integration pass rate ${RATE}% below 95%"
          fi

Anti-Patterns

  • Skipping CDSS tests "because they passed last time"
  • Setting CRITICAL thresholds below 100%
  • Using --no-bail on CRITICAL test suites
  • Mocking the CDSS engine in integration tests (must test real logic)
  • Allowing deployments when safety gate is red
  • Running tests without --coverage on CDSS suites

Examples

Example 1: Run All Critical Gates Locally

npx jest --testPathPattern='tests/cdss' --bail --ci --coverage && \
npx jest --testPathPattern='tests/security/phi' --bail --ci && \
npx jest --testPathPattern='tests/data-integrity' --bail --ci

Example 2: Check HIGH Gate Pass Rate

tmp_json=$(mktemp)
npx jest --testPathPattern='tests/clinical' --ci --json --outputFile="$tmp_json" || true
jq '{
  passed: (.numPassedTests // 0),
  total: (.numTotalTests // 0),
  rate: (if (.numTotalTests // 0) == 0 then 0 else ((.numPassedTests // 0) / (.numTotalTests // 1) * 100) end)
}' "$tmp_json"
# Expected: { "passed": 21, "total": 22, "rate": 95.45 }

Example 3: Eval Report

## Healthcare Eval: 2026-03-27 [commit abc1234]

### Patient Safety: PASS

| Category | Tests | Pass | Fail | Status |
|----------|-------|------|------|--------|
| CDSS Accuracy | 39 | 39 | 0 | PASS |
| PHI Exposure | 8 | 8 | 0 | PASS |
| Data Integrity | 12 | 12 | 0 | PASS |
| Clinical Workflow | 22 | 21 | 1 | 95.5% PASS |
| Integration | 6 | 6 | 0 | PASS |

### Coverage: 84% (target: 80%+)
### Verdict: SAFE TO DEPLOY

Frequently asked questions about Healthcare Eval Harness

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