Diagnostics are an essential part of healthcare systems. We need diagnostics to confirm diseases, determine drug resistance, guide and monitor treatment, and for the surveillance of outbreaks. Universal health coverage cannot be achieved without ensuring that people have timely access to quality diagnostic services at all levels of the health system, without experiencing financial hardship.
Diagnostic network optimisation (DNO) is a form of geospatial network analytics approach used to analyse the current diagnostic network and recommend the optimal type, number and location of diagnostics and an associated sample referral network to achieve national health goals.
Diagnostic network optimization (DNO), a geospatial optimization technique, can improve access to diagnostics and reduce costs through informing policy-makers’ decisions on diagnostic network changes.
This guide by GeoHealth Group, University of Geneva and FIND, explains how to gather data, calculate the road distances, and travel times between health facilities using AccessMod ver. 51 , and import the results in OptiDx. It enables users to calculate sample referral times and distances more accurately in diagnostic network optimization analyses.
This report developed by Right to Care and FIND, provides a landscape review of the various DNO tools available along with their respective features, capabilities, and applications.
