Across the world, millions of people struggle to take their medications exactly as prescribed. Whether it’s finishing an antibiotic, taking daily blood-pressure pills, or keeping up with childhood vaccines, missed doses quietly cause some of the biggest global-health challenges of our society. My Millennium Fellowship project, Dose O’clock, is aimed at making that simple act of taking a dose easier, smarter, and more equitable for everyone.
Working under Sustainable Development Goal 3: Good Health and Well-Being, Dose O’clock wants to use technology that nearly everyone worldwide has access to: a phone. It’s thought of as an automated SMS-based reminder system that sends color-coded symbols and short alerts. This design will make it accessible to low-literacy communities, ensuring that no one misses vital treatments due to language or literacy barriers. Originally, the project focused on improving antibiotic adherence, helping slow down the spread of antimicrobial resistance. But as I’i've listened to patients and healthcare workers, the potential applications have grown. The same system that helps patients complete an antibiotic treatment can also support people living with chronic conditions such as hypertension or diabetes, where consistency is life-saving. Missing a dose can have serious consequences, yet many patients, especially in low-resource areas, lack reliable reminder tools. Dose O’clock would give them that support in a low-cost, simple, and culturally adaptable way.
The platform could also revolutionize vaccination tracking. In many parts of the world, patients rely on paper immunization cards that are easily lost or damaged. Dose O’clock could automatically generate a digital vaccine schedule for every child, sending SMS alerts to parents from birth until the child is old enough to have their own phone. The system would automatically notify parents when each vaccine is due and record completion, creating a personal lifelong vaccine chart. This would bridge gaps in medical records and reduce the spread of preventable diseases. Looking ahead, Dose O’clock would also integrate anonymized treatment and vaccination data into a computational public-health model that can track adherence trends and predict disease patterns. By revealing where reminders are most frequently missed, public-health teams could identify communities at risk and allocate medical and human resources more effectively. This broader view of individual behavior could transform simple reminders into a powerful prevention tool.