Certificate of Achievement

Benjamin Chu

has completed the following course:

Diagnostic Network Optimization (WHO SEARO)

FIND, the global alliance for diagnostics and Integrated Diagnostics Consortium

This training provides an overview of diagnostic network optimization (DNO), a geospatial analytics approach to analyse and optimize diagnostic networks to enable the greatest access to services, while maximizing the overall efficiency of the system. It includes a description of the concepts of DNO, the process to conduct a DNO analysis, data requirements, software solutions for conducting DNO and how outputs from DNO analyses can be used to inform decision-making.

2 weeks, 5 hours per week

Heidi Albert

Principle Scientist, FIND

FIND, the global alliance for diagnostics

100%
overall score

Transcript

Learning outcomes

  • Describe the importance of DNO as an approach to strengthening diagnostic services.
  • Discuss the key concepts of DNO.
  • Identify how DNO can be applied within your country's context.
  • Compare various software solutions relevant to your DNO needs.

Syllabus

  • Discuss the overall purpose, key concepts and benefits of conducting DNO within the laboratory network strengthening initiatives
  • Identify use cases of DNO and assess whether this approach serves local needs and contexts
  • Recognise the pre-requisites for conducting a successful DNO
  • Outline the DNO process
  • Recognise the inputs required, potential outputs and impact of DNO
  • Discuss the real life applications of DNO and learn from the best practices
  • Discuss lessons learned and common pitfalls of a DNO exercise

Issued on 4th May 2023

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This certificate represents proof of learning. It is not a formal qualification, degree, or part of a degree.

Free online course:

Diagnostic Network Optimization (WHO SEARO)

FIND, the global alliance for diagnostics