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Improving diagnostic data systems in Ecuador

Street scene outside the Lok Nayak Jai Prakash Narayan Hospital, Delhi.December 2017Photo credit: FIND / Ben Phillips

This training report outlines a project to improve COVID-19 diagnostic data systems in Ecuador by the Clinton Health Access Initiative (CHAI) project and FIND. 


The project was geared to improve diagnostic data systems by training programme staff and other COVID-19 data users involved in data management in health facilities. 

The COVID-19 Information Systems Strengthening workshop was held in venues across nine zones in Ecuador, spread across several provinces and in various cities.

In all the workshops, the attendees agreed that there was a need for decentralization in the

processing and visualization of information. 

With the view that national staff are better trained than the zone or district staff, participants also suggested the Ecuador Ministry of Health develop a training plan for technical personnel in the regions to update their knowledge.

Read more here

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CHAI-FIND project to improve COVID-19 diagnostic data systems

Street scene outside the Lok Nayak Jai Prakash Narayan Hospital, Delhi.December 2017Photo credit: FIND / Ben Phillips

This training report outlines a project to improve COVID-19 diagnostic data systems, first in Rwanda and later in Ecuador, by the Clinton Health Access Initiative (CHAI) project and FIND. 

The project had three main workstreams:

  • Developing an analytical system
  • Integrating COVID-19 data systems with other relevant data systems
  • Upgrading and optimizing the COVID-19 data system.


The training report is geared to improve diagnostic data systems and automate approaches that were previously manual. 

The activity aimed to train programme staff and other COVID-19 data users involved in data management in health facilities. 

For those involved in the training, management and analysis of COVID-19 data has improved. The system is capable of inter-operating with other systems, leveraging COVID-19 data more effectively, and handling large amounts of data from multiple sources. 

The Rwanda Ministry of Health, in conjunction with CHAI-FIND and the Rwanda Biomedical Centre, has released a step-by-step guide to the training.

Read more here

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Collaborations lead to apps, toolkits to collect COVID-19 RDT data

Collaboration between organizations is essential to quickly design and develop human-centred health tools to tackle the COVID-19 pandemic. The list below is a collection of various applications and toolkits developed in this way to capture COVID-19 related data.

  1. The COVID-19 Template App, designed by FIND and Dimagi, supports health workers as they administer and record the results of COVID-19 antigen rapid diagnostic tests (RDTs). The application features workflows for patient registration, test initiation, and result capture. 
  1. The RDToolkit: Currently Supported RDTs is a listing of the RDTs that the Rapid Diagnostics Tookit hosts.
  1. FIND and HISP India collaborated to develop a DHIS2-based package for capturing data for RDTs. The resultant COVID-19 RDT Data Capture programme metadata package is available for download.
  1. As part of the ACT-Accelerator, Argusoft added a novel digital health solution to enable RDT capture with FIND. This COVID-19 RDT Data Capture is a MEDplat extension.
  1. ODK partnered with FIND to create a ready-to-use form to help community health workers in collecting data when performing RDTs. Read more on the COVID-19 Antigen RDT form for standards-compliant data.
  1. Medic’s CHT App with COVID-19 RDT Workflows is a community health toolkit to enhance RDT workflows. It also was developed in partnership with FIND. The app is powered by the Community Health Toolkit (CHT).
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Model to improve COVID-19 diagnostic data collection

FIND and PATH have been working together to support the development and implementation of digital tools for the global COVID-19 response.

With more than 400 COVID-19-based digital health tools available, countries need to determine the most appropriate ones for their needs, and how to use them. 

The Digital Square initiative within PATH’s Centre of Digital Excellence has convened a network of global collaborators to streamline a more effective approach to using these tools.

Its goal is to improve COVID-19 diagnostic data and use, which will increase the ability to share and view rapid diagnostic testing data.

To this end, FIND and PATH created a template of data fields relevant to the COVID-19 rapid diagnostic test workflow, called the ACT-A COVID-19 Antigen RDT Data Model.

Aimed at supporting low- and middle-income countries, the common data model is freely available to download.

Read more here