The ForLab Quantification tool is an open source data solution that helps users develop multi-method forecasts of laboratory commodities in support of national quantifications, among other features.
Developed to support USAID and its partners’ health system strengthening efforts, the tool has been used in more than 23 countries to import high volumes of data for laboratory quantification. Under GHSC-PSM, the tool is being reviewed to see how it can best assist with current viral load scale-up priorities.
Laboratory and program managers use the tool for a variety of planning and preparation activities, including demand and supply planning and resource analysis. Ways the tool can help improve laboratory quantification include:
- Focus data collection efforts to populate a standardized template
- Reduce forecasting analysis time to minutes
- Improve the reliability of the forecast
- Develop evidence-based supply plans
- Identify efficiencies within a laboratory network
- Evidence-based forecasts for service statistics (test numbers), logistics data (consumption), demographics (program targets)
- Comparisons of forecasting methodologies to identify programmatic and commodity models, cost estimates, and costs associated with guideline shifts
- Analysis actual and forecasted instrument utilization, diagnostics contribution, and instrument diversity
For More Information:
To request more information or to receive a copy of the ForLab tool, please email email@example.com.