METHODOLOGY
Krinex Workforce Intelligence Methodology
Our workforce intelligence methodology ensures every staffing decision is grounded in real capacity data, compliance rules and operational rigor — combining AI-driven forecasting with manager oversight.
7
Workflow Stages
35+
Staffing Rules Modeled
100%
Manager-Reviewed
Workforce Intelligence Workflow
01
02
03
04
05
06
07
Roster & Shift Intake
Data Normalization
Compliance & Workload Structuring
AI Capacity Forecasting
Staffing Recommendations
Manager Review & Approval
Workforce Report
Collect staffing, roster and scheduling data
Standardize shifts, roles and department structures
Structure staffing-rule and workload information
Predictive modeling of demand, absence and coverage gaps
Generate scheduling insights and rebalancing options
Expert review and final scheduling decision
Clear, actionable staffing and compliance report
Workforce Intelligence Pillars
The core components of our workforce planning methodology.
Data Completeness Check
Assess whether roster, absence and skill-mix data required for a decision is available.
Staffing Rule Compliance
Evaluate adherence to minimum staffing ratios and regulatory requirements.
Capacity & Workload Risk
Identify understaffing, overtime exposure and burnout risk indicators.
AI Forecast Synthesis
Generate structured demand forecasts and coverage-gap analysis.
Scheduling Decision Support
Provide data-driven rebalancing and recruitment recommendations.
Human Oversight
All recommendations are reviewed and approved by qualified managers.
Coverage Completeness by Department (Example)
Required Evidence
Importance
Status
Minimum Staffing Ratios
High
✓
Available
Skill-Mix Data
High
✓
Available
Absence History
Medium
✓
Available
Shift Preferences
Low
● Partial
Regulatory Minimums
High
✓
Available
Required Evidence
Importance
Status
Minimum Staffing Ratios
High
✓
Available
Peak-Hour Demand Data
High
✕
Missing
Skill-Mix Data
High
✓
Available
Absence History
Medium
✓
Available
Regulatory Minimums
High
✓
Available
Required Evidence
Importance
Status
Minimum Staffing Ratios
High
✓
Available
Case-Volume Forecast
Medium
● Partial
Skill-Mix Data
High
✓
Available
Absence History
Medium
✓
Available
Overtime Exposure
Medium
✕
Missing
Required Evidence
Importance
Status
Minimum Staffing Ratios
High
✓
Available
Skill-Mix Data
Medium
✓
Available
Absence History
Medium
✕
Missing
Shift Preferences
Low
✓
Available
Regulatory Minimums
High
● Partial
Required Evidence
Importance
Status
Appointment Volume Data
High
✓
Available
Skill-Mix Data
Medium
✓
Available
Absence History
Medium
✓
Available
Shift Preferences
Low
✓
Available
Regulatory Minimums
Medium
✕
Missing
Safeguards & Limitations
Not a Replacement
Based on Available Data
Guideline Informed
Continuous Validation
Krinex AI supports workforce managers; it does not replace operational judgment.
Outputs are limited to the quality and completeness of the provided roster data.
Our models are informed by staffing regulations and hospital workforce standards.
Models are continuously validated, audited and improved.