Laboratory Information System (LIS)

The Laboratory Information System (LIS) streamlines and automates the entire laboratory testing process, from order entry to result reporting. This comprehensive solution enables efficient lab operations while ensuring accuracy, compliance, and integration with clinical care.

Key Features

Order Management

  • Electronic lab test ordering with order sets
  • Specimen collection instructions
  • Specimen identification with barcode support
  • Order status tracking throughout workflow

Testing Workflow

  • Sample accessioning and processing
  • Work queue management by department
  • Quality control tracking
  • Instrument integration and result capture

Results Reporting

  • Result verification and approval
  • Automated normal/abnormal flagging
  • Historical result comparison
  • Custom report formatting

Alert Management

  • Critical value notification
  • Auto-escalation of unacknowledged alerts
  • Documentation of alert receipt
  • Trend-based alerting for significant changes

Laboratory Departments

The LIS supports multiple laboratory departments with specialized workflows:

Clinical Chemistry

  • Auto-analyzer interfacing
  • Automated dilutions
  • Delta checking
  • Reference range management

Hematology

  • Cell counter integration
  • Morphology reporting
  • Differential management
  • Smear review tracking

Microbiology

  • Culture workflow management
  • Organism identification
  • Susceptibility testing
  • Infection control reporting

Blood Bank

  • Donor management
  • Component processing
  • Type and crossmatch
  • Transfusion tracking

Anatomic Pathology

  • Specimen tracking
  • Case management
  • Digital pathology integration
  • Synoptic reporting

Molecular Diagnostics

  • PCR testing workflow
  • Genetic testing
  • Next-gen sequencing integration
  • Biomarker management

Analytics & Reporting

The LIS includes comprehensive reporting capabilities:

Operational Metrics

  • Test volume by department/test type
  • Turnaround time analysis
  • Quality control performance
  • Workload statistics by shift

Clinical Analytics

  • Positivity rates by organism
  • Antibiotic resistance patterns
  • Critical value incidence
  • Population health screening metrics

Implementation Considerations

  • Comprehensive test catalog setup with proper coding
  • Instrument interface validation for each analyzer
  • Reference range establishment by population demographics
  • Alert threshold configuration with clinical stakeholder input
  • User training by laboratory department and role

Related Modules