
Maiko Felix developed a scalable server-side provider search feature for the openmrs-esm-patient-chart repository, focusing on improving both performance and user experience. Leveraging Angular, RxJS, and TypeScript, Maiko implemented API throttling and request delays to minimize unnecessary backend calls, which reduced server load and enhanced response times. The solution introduced independent observables for each search query, enabling reliable concurrent searches and laying the groundwork for future extensibility. While the work was concentrated within a single feature over one month, it demonstrated thoughtful engineering by addressing both technical and user-facing challenges in the search flow, resulting in a more efficient frontend experience.
Jan 2026 monthly summary for the openmrs-esm-patient-chart area, focusing on delivering a scalable server-side provider search with API throttling and improved search UX. The work drove performance gains, reduced unnecessary API calls, and laid groundwork for independent observables per query to support concurrent searches.
Jan 2026 monthly summary for the openmrs-esm-patient-chart area, focusing on delivering a scalable server-side provider search with API throttling and improved search UX. The work drove performance gains, reduced unnecessary API calls, and laid groundwork for independent observables per query to support concurrent searches.

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