✏️ 2026 CHT Community Meetups Notes

Community Community Calls
1

Topics Discussed

1. Squad updates

This is the link to access the roadmap, we currently have 5 active squads. Below are the updates from the various working groups:

  • CHT Plugins - the team has completed the ideation phase and is moving into the technical design stage. They are working towards an MVP that will allow one to add custom in-app tabs which will show static or dynamic content, work offline and interact with CHT data models.
  • Hosting TCO reduction V2 - the group is exploring reducing spaces required for upgrades by splitting large ddocs and making changes to the upgrade process to allow more control of what is reindexed.
  • CHT multi-agent system - a hierarchial multiagent system has been built which has multiple agents that covers research, QA and development and works together to automate the workflows and improve the CHT development process. The * MCP server has been set up using kapa.ai. Please reply to this * forum post if you would to be involved in this work
  • Task prioritization - the overdue task bubble functionality has been built and will be released in v5.1.0
  • Display of previous month targets- the team is finalizing two remaining tasks and this improvement is likely to be available in the next CHT release.

2. Community priorities overview.

This is the list of priorities that have been raised by the community:

  • Ability to pause on a form
  • Client and task visibility across catchment areas
  • Support for uploading attachments in contact forms
  • option to hide target goal past the goal
  • Offline synchronization support.
  • Task filter

The community is exploring ways to organize and list these priorities to make it easier to track, discuss and act on them collectively.

Slides

2

Topics discussed during the Feb 10 Meetup

1.Massive Online Open Validation Evaluation (MOOVE) Initiative

  • This intervention is being implemented in Kenya by Strathmore University, Kenyatta National Hospital and the University of Nairobi and it aims to evaluate the performance of large language models (LLMs) in supporting clinical decision support by comparing their outputs to local clinical guidelines assessing their usability in primary care settings
  • The study has 3 phases
    hypMOOVE
    • in this stage, the accuracy of LLMs is evaluated using clinical scenarios without patients involvement
    • LLMs outputs are reviewed retrospectively by Expert Clinicians
      SilentMOOVE
    • De-identified data will be captured during routine patient visits. Clinicians will review the LLMs outputs after patient encounter and provide feedback
  • The Implementation will take place in 3 counties in Kenya (Kajiado, Nairobi and Migori)

2. Squad updates

  • Display of previous month targets - the team is finalizing this feature and it will be available in CHT v5.1.
  • Task filters have been added to CHT which will enable users to filter tasks based on due date, task type and place (for users who manage many places). These changes will be available in the next CHT release.

Slides.