Smart human resources platform

The smart human resources platform consolidates a hospital's HR data and builds talent indicator systems and evaluation models around varied business requirements. Its modules cover staff management, talent evaluation, payroll, organizational management, scheduling, attendance, employee self-service, rewards and penalties, contracts, recruitment, training, and permissions, enabling intelligent, digital HR management and strengthening the hospital's ability to identify, evaluate, and develop clinical talent. Information on hiring, transfer, reassignment, and departure is consolidated into the employee record library, and HR processes are redesigned and integrated so that HR business information is managed online end to end.

Core capabilities

• End-to-end HR process: recruitment, onboarding, contract management, position and role changes, scheduling and attendance, training and development, payroll calculation, annual assessment, talent evaluation, and promotion.
• System composition: a master data platform, an executive decision analysis platform, a management layer, and employee and department self-service. The master data platform stores and manages employee records, compensation and benefits, and talent evaluation data; the decision analysis platform provides management support through analysis and forecasting.
• Talent evaluation: a multi-dimensional evaluation system that ranks employees against configurable indicators, applied to staff assessment, title appointment, and other scenarios.

Product strengths

• Unified management platform: HR information is connected around the individual employee, with unified staff data, processes, and statistical standards that reduce information silos.
• New departmental relationships: staff information, scheduling, attendance, payroll, and evaluation modules are linked so that a single transaction triggers coordinated updates across the system.
• Closed-loop management: a staff master index supports closed-loop management from recruitment through training, assessment, promotion, and departure.
• Evidence-based evaluation: data on clinical work, research, and teaching is gathered across dimensions, and a scientific indicator system and evaluation model calculate each employee's score.