Reducing Friction in Preventive Care: Uruguay's Results and the Potential for AI to Scale the Impact

Micaela Sachetti
Micaela Sachetti
December 5, 2025
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5 min
Reducing Friction in Preventive Care: Uruguay's Results and the Potential for AI to Scale the Impact
Case Studies

Reducing Friction in Preventive Care: Uruguay's Results and the Potential for AI to Scale the Impact

Cervical cancer is one of the most preventable cancers in the world. Screening works. Early detection saves lives. And yet, even in countries with universal healthcare, millions of women still miss routine tests.

A 2019 study conducted by the Inter-American Development Bank in Uruguay illustrates this challenge clearly. In Uruguay pap smears are free, widely available, and even supported by legislation guaranteeing women a paid day off to get tested. Despite this, participation remained low: by 2019, only 39.7% of women aged 30 to 70 in Montevideo were up to date on their pap smear, leaving nearly 60% overdue for their screening.

Researchers found that awareness was not the issue. Most women understood the importance of cervical cancer screening. The barriers were practical: the inconvenience of the existing scheduling system, work and caregiving responsibilities, and the everyday inertia that affects many preventive health behaviors. In short, the system made a necessary preventive action difficult to follow through on.

The Uruguay Experiment (2019–2020): What Happens When You Reduce Friction?

To confront low participation, Uruguay’s Ministry of Public Health and the national digital government agency launched a digital intervention. The initiative involved two components designed to simplify access to cervical cancer screening:

The first was the creation of the country’s first online appointment platform for pap smears in the public system. Women could authenticate using their national ID, view real-time availability, select a convenient appointment slot, and receive automated reminders. This replaced the slow existing scheduling process.

The second was a large randomized controlled trial including 47,600 women aged 30 to 70 who were overdue for screening. Women were randomly assigned to:

  • Control (no message)
  • Reminder message only
  • Reminder + link to the new digital booking tool

The Results: A Simple Link Nearly Tripled Screening Rates.

While reminder messages alone offered modest improvements, the addition of the digital scheduling link nearly tripled appointment bookings compared to the control group. Attendance rates followed the same trend.

Scheduling rates:

  • Control: 2.7%
  • Reminder only: 4.0%
  • Reminder + digital tool: 7.9%

Attendance rates:

  • Control: 1.9%
  • Reminder only: 3.3%
  • Reminder + digital tool: 5.1%

Follow-up survey data showed why: women’s beliefs about the importance of screening did not change, but their perception of the effort required did. By making scheduling substantially easier, the intervention activated intentions that were already present.

This insight is highly transferable: in many health systems (whether public hospitals, private insurers, or integrated delivery networks), patients delay preventive care not because they reject it, but because the process is harder than it needs to be.

From One-Time Campaigns to Continuous Care: How AI Agents Could Extend the Impact

The Uruguay experiment demonstrates that thoughtfully designed digital tools can meaningfully increase participation in cervical cancer screening. But it also suggests a broader opportunity: what if these improvements were not episodic, but continuous?

While the pilot relied on fixed SMS messages and a static scheduling platform, modern AI technologies make it possible to build a dynamic, always-on outreach system.

When integrated with scheduling software or electronic health records, AI agents can identify when a patient becomes due or overdue for screening and initiate contact automatically. Instead of a one-way reminder, the AI agent can engage in a natural conversation: answering questions, addressing hesitations, and guiding the patient through necessary steps.

Crucially, AI agents can complete the scheduling process directly within the conversation. Rather than clicking a link or navigating a portal, a patient can simply respond, “Yes, I’d like to schedule,” and the agent can offer appointment options, confirm the booking, and send tailored reminders or follow-up messages.

This approach directly targets the frictions that limit preventive care. It reduces the time and effort required from patients. It decreases the administrative burden on staff. And, because the system operates continuously, it establishes an enduring public health infrastructure that does not depend on temporary campaigns or manual outreach efforts.

For ministries of health, health insurers, hospital networks, and community-based clinics, these capabilities represent a scalable pathway to improving early detection — not just for cervical cancer, but for a wide range of preventable conditions.

From Pilot Evidence to Scalable Preventive Care

The Uruguay case highlights a universal truth in healthcare delivery: the easier it is to act, the more people follow through. Digital reminders helped. A low-friction appointment tool helped even more. Yet the underlying principle of reducing effort can be extended far beyond the scope of the original study.

By automating proactive outreach and simplifying access, AI agents provide the infrastructure to address behavioral dynamics that appear in nearly all patient populations.

Uruguay’s experience shows just how much improvement is possible with modest digital interventions. AI now offers a way to scale that impact.

Source

Sánchez, M., Roseth, B., Cuesta, A. M., Gallegos, S. ., & Delgado, L. (2021). Increasing the Take-up of Public Health Services: An Experiment on Nudges and Digital Tools in Uruguay. https://doi.org/10.18235/000339

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