Last updated 8 June 2026
Projects / Workflow Optimisations

Workflow Optimisations

Initiative / Admin Workflow Optimisation

Target / 9th April 2026

Optimising workflow performance with scheduled patient status updates.

Open in Linear

This project improves the efficiency of the workflow system by precomputing patient statuses on a scheduled basis, rather than calculating them in real time when the page loads. This approach makes admin operations faster, smoother, and more predictable, reducing the computational load and improving overall workflow performance.

Status

Completed

Target

9th April 2026

Lead

Maria Kudriavtseva

Teams

Platform, Releaf UK

Project updates

Recent status notes posted directly on this project in Linear.

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Initiative updates

Recent updates shared from Admin Workflow Optimisation because this project has limited direct update history.

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Ian Lovell

16 Apr 2026

The Workflow Optimisations project is now complete, with major performance improvements delivered to the Workflow screen within the Admin app. This materially reduces wait times for admins and improves reliability when working across workflows at scale.

The most visible gain is page load speed. In production, loading with two workflows selected dropped from 23.65 seconds to around 388 milliseconds - roughly 60x faster. Overall, this gives admin teams a much faster and more scalable experience as workflow demand grows.

Ian Lovell

31 Mar 2026

The next release introduces a meaningful performance improvement to the Workflow screen by moving patient status generation to a scheduled background process. This reduces the need for heavy, on-demand computation when loading the grid.

Admins should experience faster load times, fewer expensive queries during grid access, and improved responsiveness when working across workflows. This change provides a more stable short-term foundation while longer-term architectural improvements continue to be developed.

Ian Lovell

16 Mar 2026

Task flow optimisations have progressed, with improvements delivered across performance and usability. Tasks grid performance has been optimised, helping reduce admin friction and speed up day-to-day task management.

Follow-up fixes also improved the task type and task assignee filters with autocomplete support, and introduced bookmarkable filter states. Overall, these updates help make task workflows faster and more reliable for admin teams.

Issues

Grouped by current Linear workflow status.

2 total

Done

1

  • RLF-5890 - Workflow Performance - Quick Wins (Query & Dataset Optimisation)
    Done

Other

1

  • RLF-5750 - Workflow performance optimisations
    Duplicate