By Kevin Oyowe, IT Programmer/Manager

This year, our digital health systems continued to anchor program implementation, with major strides in design, development, deployment, and support of the CATSystem, our flagship web application supporting client- centered cancer care coordination. The CATSystem underwent refinements informed by field feedback, ensuring functionality aligns with user needs. Deployment to new sites was accompanied by tailored end-user training, live implementation support, and ongoing maintenance to guarantee uptime and responsiveness.

The HITSystem, used for HIV-exposed infant follow-up, also received backend maintenance and system checks to ensure stability across legacy sites. Complementing this was a strengthened data quality audit process, enabled by the rollout of an Automated Data Quality Assessment Tool. This tool flagged anomalies and offered corrective pathways, supporting both real-time and retrospective data cleaning.

We continued overseeing the organization’s broader IT infrastructure, with secure, cloud- based hosting and enhanced data backup protocols. Emphasis was placed on disaster preparedness, ensuring system redundancy and secure storage for mission-critical data. IT equipment servicing and support were provided at least twice this quarter to sites and staff, minimizing downtime and improving operational efficiency.

To support informed decision-making, data extraction and analytics support was provided across departments, with standard and ad hoc reports generated from digital systems. In tandem, training and capacity-building sessions were held in Busia and Siaya counties targeting County Health Management Teams (CHMTs and SCHMTs), equipping participants with digital literacy, reporting workflows, and troubleshooting skills.

Finally, the quarter also saw growth in media and internal communications, with active contributions to the organization’s newsletter and visual documentation of field activities. The CATSystem uptime dashboard was fully activated this quarter and is now being used internally to monitor digital system performance across intervention sites, contributing to evidence-based IT planning and real-time support.