Solutions & Tools
Process Mining Health Care Department
Use Case Objective
- Optimize Process Flow: Improve patient throughput by identifying bottlenecks in the workflow.
- Reduce Waiting Times: Minimize delays in critical processes like ultrasound, surgical procedures, and consultations
- Enhance Resource Utilization: Better allocation of doctors, nurses, and equipment to reduce idle time.
- Improve Patient Experience: Deliver seamless care by ensuring timely services
Challenges
- High Variability in Cases: Emergency cases (e.g., labor and delivery) disrupt planned schedules.
- Coordination Complexity: Involvement of multiple specialists, tests, and procedures in patient care
- Inefficient Resource Allocation: Uneven distribution of workload among staff or underutilized equipment
- Data Silos: Fragmented data from Electronic Health Records (EHR), scheduling systems, and lab systems.
Analyze event logs to find inefficiencies
Optimization Recommendations
- High Waiting Times: Delays between consultations, lab tests, and ultrasounds
- Resource Bottlenecks: Overloaded doctors or underutilized staff and equipment
- Unnecessary Loops: Repeated tests or unclear handoffs between departments
Predictive Modeling
Standardize Processes
- Define and enforce SOPs for common patient workflows (e.g., prenatal care, delivery, gynecological surgeries).
Dynamic Resource Allocation:
- Real-time monitoring of workloads to reassign resources dynamically
- Use predictive analytics to forecast demand (e.g., expected patient load during peak hours).
Appointment Scheduling
- Optimize scheduling algorithms to balance patient flow and reduce idle time for doctors and equipment.
Automation Opportunities
- Automate routine tasks like patient follow-ups, test scheduling, and EHR updates