Case Study: Chattagram Ma O Shishu Hospital
How LIS automation reduced report delivery time by 40% at one of Chittagong's largest healthcare providers.
The Challenge
Chattagram Ma O Shishu Hospital (CHMSH) handles hundreds of clinical samples daily. In 2023, the hospital faced critical operational issues:
- Long patient wait times for diagnosis reports due to manual validation and transcription delays.
- Manual paper processes resulted in high staff overtime requirements and transcription errors from analyzer prints to reports.
- A lack of central real-time status tracking for clinical samples created bottlenecks and frustrated both pathologists and patients.
The Solution
Logic & Pixel Technologies implemented a comprehensive Laboratory Information System (LIS) configured for CHMSH's high-volume operations:
- Bidirectional Analyzer Integration: Direct integration with chemical and hematological analyzers, letting results flow automatically into database queues without re-entry.
- Barcode-Based Tracking: Instantly printed unique barcode identifiers on sample receipt to monitor stages from draw to delivery.
- Automated Layout Formatter: Instant report generation upon pathologist validation, ready for direct SMS/portal access.
The Implementation
Our engineering and implementation teams deployed LIS within a 4-week window. The process involved matching CHMSH's existing test menus, setting up barcode scanners at all stations, establishing network configurations for clinical analyzer hardware, and providing intensive onsite training in Bengali for operators, medical scribes, and doctors.
The Results
Post-go-live metrics recorded within 60 days showed a complete operational transformation:
- 40% reduction in overall turnaround and report delivery time.
- Zero transcription errors recorded in pathology due to machine interface database sync.
- Dramatic drop in overtime staff costs and patient queues at report collection counters.
Client Quote
"Before LIS, our lab produced reports the same way we did in 2005. Within three months of implementation, our turnaround time dropped dramatically and our staff stopped working late. The system simply works — and the local support team knows our environment."