Visualising performance to help health professionals improve the quality of cancer care.
Te Aho o Te Kahu’s quality performance indicator programme measures and compares the services received by people with cancer with the goal of identifying areas for improvement.
The Cancer Care Data Explorer uses specialised data visualisations to share how certain indicators are performing across the country.
Improving quality of care.
Te Aho o Te Kahu's quality performance indicator programme measures and compares the services received by cancer patients.
To help communicate the outputs from the monitoring programme, we worked with the agency’s technical experts to develop the Cancer Care Data Explorer. The interactive tool helps stakeholders explore quality of care and outcomes for people diagnosed with cancer nationally and in different regions of the country.
Comparing performance.
To help communicate the outputs from the monitoring programme, we worked with the agency’s technical experts to develop the Cancer Care Data Explorer. The tool uses specialised data visualisations to share how certain indicators are performing across the country. For example, colour coded tables and spine charts are used to display how a region is performing against the national average.
Ongoing quality improvement.
The interactive dashboard helps stakeholders explore quality of care and outcomes for people diagnosed with cancer nationally and in different regions of the country.
Technically robust and scalable.
Built using NuxtJS, a powerful framework that enabled the creation of a fast, scalable, and dynamic Single-Page Application (SPA) composed of reusable VueJS components. This provided a streamlined and efficient way to build out the application via an iterative, feature-first approach. An ORM and state management system provide two-way data binding between the client and back-end. Specific attention was paid to make sure the app is highly scalable and can for example adopt new indicators as they become available.
Stakeholder-centric design.
With attention to the information needs of policy makers the UX design was carefully crafted and put through several rounds of review before it was implemented.
Bespoke visualisations.
Some of the visualisations are highly bespoke to meet best practice health data standards and technical conventions. This required careful choice of the R packages underlying the graphs.
Modularly built.
The app was structured to enable the easy addition of cancer types and indicators. This allowed for an initial launch covering only major cancers and also enabled the team to easily add new features by themselves.