Laboratory Data Repository (OpenLDR)

Good Infrastructure = Better Data = Increase Demand for Data = Better Patient Outcomes

The OpenLDR provides a single storage location for the country-wide electronic data regarding laboratory requests and results. This allows laboratory systems managers to easily view relevant data on the entire country, different geographic levels or detailed data down to the lab and section.

• • Drug susceptibility rates

  • Viral Load suppression rates

  • EID results

  • Laboratory workload by laboratory section and instrument

  • Turn Around Times

  • Demographic breakdowns for system use and test outcomes

  • Geographic sample collection versus testing locations

Simple and Easy Data Centralization

The simplistic design allows for electronic systems like Laboratory Information Systems (LIS), instruments or even mobile devices to easily send data to the OpenLDR.

Collecting and centralizing as much data as possible allows managers to monitor a variety of different work related issues. It's easy to monitor quantities in the amount of data produced which could indicate work interruptions like lack of consumables or instrument outages. The detailed data allows for checking the quality and completeness of the data collected by staff through the entire laboratory workflow.

Secure Data Storage for Each Country but Shared Technology

The data is owned and stored by each country in a secure and highly controlled environment. However, the open structure allows different countries and developers to share their development efforts while not sharing their data:

• • Electronic data imports from LIS, instruments or other electronic systems

  • Views into the data to simplify data for viewing and reporting

  • Reporting templates and methodologies

  • Data structure enhancements

  • Data quality monitoring techniques

  • Best practices

Simple Structure for Flexible Reporting

Each country can utilize shared data reporting templates or utilize whatever data analysis tools they are comfortable developing and maintaining.

• • Web dashboards and reporting

  • SAP Crystal Reports

  • Excel and PowerPivot

  • Pentaho, HighCharts or any other reporting utilities

The core structure is simple but each country can easily add supplemental data to do data correlations with other electronic systems like Electronic Medical Records Systems (EMR), existing country-wide data summarization systems (DHIS2), or population statistics.

A variety of analysis from simple to more complex models can be created from the data. With the data in a single location you can easily do side by side geographic comparisons.

Better Data / Better Decisions

As managers come to rely on the initial data visualizations they will also be able to more easily imagine other reports that will help them make better decisions. The database managers and developers can easily use the existing data transport and reporting infrastructures to collect more data and produce more reports.