How Marquline rethought patient waiting times using AI

My name is Marquline Opiyo, and I come from Migori County.

During my ENGAGE training, I developed AI applications that could support health workers in making faster, more accurate decisions. The first project I worked on was a malaria prediction tool that uses patient data to forecast cases and help clinics prepare and respond early.

I also created an app that could predict what might happen after a patient is sent to another hospital for treatment, and another that could assess how serious emergency cases are. These projects were inspired by the struggles I saw in hospitals, where health workers spent a lot of time checking records or manuals before making decisions. I wanted to create solutions that reduce this time, improve accuracy, and help save lives.

Currently, I’m also building a digital BNF tool to help pharmacists access drug information quickly and avoid harmful drug interactions. AI has empowered me to think differently about healthcare solutions. I now see how data can improve efficiency and save lives, and that’s why I appreciate AI.

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