Clinical Governance

Clinical Governance & Quality Assurance Framework

1. Evidence-Based Clinical Decision Support (CDS)

The clinical governance engine runs parallel to the clinician's workspace, acting as a real-time validation gate rather than an afterthought.

1.1 KEML Prescription Guardrails & Tier Enforcement

The system restricts medication prescribing patterns based on the facility's registration tier (Level 4). Specialized medications restricted to Level 5 or 6 tertiary centers require an explicit clinical justification entry.

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1.2 Drug-Drug Interaction & Dosage Boundary Checks

When an electronic prescription is queued, a background calculation engine verifies the selection against the patient's active medication list and physiological profile

# System core logic for drug safety evaluation
from decimal import Decimal
from typing import List, Dict

def evaluate_prescription_safety(patient_profile: Dict, 
                                 new_medication: Dict, 
                                 active_medications: List[Dict]) -> Dict:
    """
    Validates dosage ceilings against patient weight/kidney function 
    and checks for dangerous drug-drug interactions.
    """
    patient_weight = Decimal(str(patient_profile.get("weight_kg", "70.0")))
    egfr = Decimal(str(patient_profile.get("estimated_gfr", "90.0")))
    
    # Max daily dose check adjusted for patient weight
    max_safe_dose_mg = Decimal(str(new_medication["base_max_dose_mg_per_kg"])) * patient_weight
    proposed_dose_mg = Decimal(str(new_medication["proposed_daily_dose_mg"]))
    
    safety_report = {"is_safe": True, "warnings": [], "requires_override": False}
    
    if proposed_dose_mg > max_safe_dose_mg:
        safety_report["is_safe"] = False
        safety_report["requires_override"] = True
        safety_report["warnings"].append(f"Dosage exceeds safe ceiling of {max_safe_dose_mg}mg for patient's weight.")
        
    # Renal adjustment verification
    if egfr < 30.0 and new_medication.get("clearance_type") == "RENAL":
        safety_report["requires_override"] = True
        safety_report["warnings"].append("Reduced clearance: Patient eGFR < 30ml/min. Reduce dosage by 50%.")
        
    return safety_report

2. Automated Clinical Auditing & Quality Indicators

To maintain clinical standards and satisfy external licensing audits by the Kenya Medical Practitioners and Dentists Council (KMPDC), the system automatically compiles monthly quality indicators.

2.1 Quality Indicator Definitions

Tracks the number of patients who return with an active wound infection within 30 days of an operative procedure. The system calculates this by cross-referencing post-operative discharge codes with secondary outpatient diagnoses for surgical site complications.

3. Mortality Review & Death Certification Workflows

Every in-facility death requires structured processing within the HMIS to preserve data integrity and prevent identity fraud across integrated national tracking platforms.

3.1 Mortuary & Death Protocol Flow

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3.2 Underlying Cause of Death Certification (ICD-11 Logic)

The system enforces the World Health Organization (WHO) formatting standard for death certification. Clinicians must break down the physiological sequence leading to death into explicit sequential steps:

$$\text{Direct Cause (a)} \leftarrow \text{Intervening Cause (b)} \leftarrow \text{Underlying Cause (c)}$$

The system saves this structure using precise ICD-11 URIs to feed the national civil registration statistics pipeline.

4. Adverse Event & Incident Tracking Module

The system includes a secure, anonymized clinical reporting framework designed to track near-miss events, medication errors, and equipment failures without creating a culture of finger-pointing.

4.1 Incident Ingestion Schema

{
  "incident_token": "INC-2026-WST-0092",
  "incident_classification": "MEDICATION_ERROR",
  "severity_tier": "NEAR_MISS",
  "context": {
    "location_id": "WARD_MALE_MEDICAL",
    "timestamp": "2026-06-22T04:15:00+03:00",
    "item_involved_code": "KEML-DRG-0412"
  },
  "narrative": "Look-alike sound-alike medication selected during eMAR confirmation. Scan verification successfully caught the mismatch before injection was administered.",
  "mitigation_steps_taken": "Returned medication to pharmacy storage; re-verified active patient wristband.",
  "workflow_state": "PENDING_COMMITTEE_REVIEW"
}

Document Verification Block

Ian Wataka - Backend Developer
Target Scope: Level 4 Hospital Production Infrastructure
Compliance Legal
System Design