C4G Basic Laboratory Information System – track patients, specimens and laboratory results

C4G Basic Laboratory Information System (BLIS) is an open-source system to track patients, specimens and laboratory results.

It is a tool that can help to standardize data, which improves the ability to run useful reports and can both give a realistic picture of laboratory services and assist with staff and budget planning.

The system was designed and deployed based on two major principles: (1) an Iterative Cooperative Design (ICD) methodology (2) immediate and continuous benefits for day-to-day users of the system. C4G BLIS is currently in use in many large hospital laboratories in Africa.

Features include:

  • One-time entry of each unique patient.
  • Standardization of data collected (allowable entries for specimen type, test type,
    patient data, reagents are set at MOH level and then entered consistently
    throughout a country).
  • Customization to a country‚Äôs needs.
  • Ability to track lab supplies such as test kits, reagents.
  • Ability to run reports as specified by a country.
  • Automatic alerting of data values that may be out of range (reference ranges and
    panic values are set at the regional or national level).
  • Daily logs to be reviewed for data verification.
  • Simple data backup.
  • Patient and specimen registration.
  • Results entry.
  • Queries.
  • Reporting.
  • Lab configuration tools.
  • Test catalog.
  • Multilingual.
  • Custom fields.
  • Commenting.
  • Billing.
  • Barcode support.
  • Inventory management.

Support: GitHub Code Repository
Developer: Computing for Good (C4G) at the Georgia Institute of Technology, the Centers for Disease Control and Prevention (CDC) and Ministries of Health of several countries in Africa

Basic Laboratory Information System

C4G Basic Laboratory Information System is written in PHP and JavaScript. Learn PHP with our recommended free books and free tutorials. Learn JavaScript with our recommended free books and free tutorials.

Return to Laboratory Information Management Systems

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