Informatics driven quality improvement in the modern histology lab

Area of Science:

• Medical Informatics
• Health Data Analytics
• Histopathology Laboratory Management

Background:

• Laboratory Information Systems (LIS) offer foundational capabilities but often require customization for specialized anatomic pathology needs.
• Modern histology laboratories face unique workflow challenges not fully addressed by standard LIS functionalities.
• Continuous LIS adaptation post-implementation is crucial for optimizing laboratory operations.

Observation:

• Standard LIS features are insufficient for the complex demands of contemporary histology labs.
• Custom data analytics dashboards and LIS enhancements were developed after workflow evaluation.
• A novel 'status board' was created for real-time task tracking, similar to inpatient ward systems.

Findings:

• Implemented custom LIS solutions and data visualization dashboards improved trainee education.
• Enhanced slide logistics and optimized staffing/instrumentation lobbying were achieved.
• Task tracking was significantly improved through a new 'status board' functionality.

Implications:

• The presented LIS customization strategies and data-tracking solutions offer a scalable model for other histology laboratories.
• Improved laboratory efficiency and resource allocation can be realized through tailored LIS functionalities.
• Data-driven insights from custom LIS tools can enhance educational outcomes and operational oversight in pathology.