Waiting lists in Costa Rica: how automatic appointment rescue reduces no-shows and recovers installed capacity
The CCSS has 566,000 people on waiting lists. The problem is not only about resources, it is about appointment management. Every unrescued cancellation, every slot left empty, is lost revenue and a patient who waits longer.
COCO Tech › Blog › Clinical Operations Clinical Operations · Costa Rica
Waiting lists in Costa Rica: how automatic appointment rescue reduces no-shows and recovers installed capacity
The CCSS has 566,000 people on waiting lists. The problem is not only about resources, it is about appointment management. Every unrescued cancellation, every slot left empty, is lost revenue and a patient who waits longer.
COCO Tech · Marketing Team · May 13, 2026 · 7 min read
204,000 patients on surgical waiting lists · CCSS, April 2026
362,000 waiting for outpatient specialist care · CCSS, April 2026
5% no-show rate COCO clients reach within 90 days
<3 min time to automatically rescue and reassign a cancelled appointment
Context
On May 7, 2026, the Board of Directors of the CCSS approved a 2026–2030 plan incorporating artificial intelligence to reduce waiting lists in surgery, outpatient specialty care, and diagnostic procedures. Enué Arrieta, coordinator of the CCSS Waiting List Technical Unit, explained that AI will allow patient records to be updated and cleaned up much faster. The structural problem, however, starts earlier: in the management of appointments that already exist.
The real problem behind waiting lists
When waiting lists in Costa Rica's healthcare system come up, the debate tends to center on budget, infrastructure, or the number of physicians. Those factors matter. But there is one variable that is rarely measured with precision: how many assigned appointments are never used.
An institution with 10,000 monthly appointments and a 15% no-show rate loses the equivalent of 1,500 slots every month. Those slots generate no revenue. They do not reduce the waiting list. And no one rescues them if the confirmation process is still manual.
According to CCSS data as of April 2026, more than 204,000 people are waiting for surgery and another 362,000 are waiting for outpatient specialist care. The institution's medical director and future Minister of Health, Alexander Sánchez, stated that the central goal is to sustainably reduce the accumulated backlog across the three main lines of care.
The operational question is straightforward: how many of those 566,000 patients could be seen today if cancelled slots were rescued in real time?
How COCO's automatic appointment rescue works
Appointment rescue is not a new concept. The difference lies in doing it without human intervention, in under three minutes, and connected to the hospital information system (HIS) the institution already uses.
Here is the complete flow:
-
Cancellation detected
The patient cancels via WhatsApp, phone call, or any enabled channel. COCO detects the available slot in real time — no agent involved.
-
Waitlist activated
The system identifies the next patient on the waitlist based on priority criteria: wait time, required specialty, and schedule availability.
-
Automatic notification
The patient receives a WhatsApp message offering the available slot. They confirm in the same channel. The call center does not intervene at any point in the process.
-
Appointment recorded in the HIS
The confirmation is automatically registered in the existing hospital system. No manual re-entry. No risk of data entry errors. Full traceability.
The entire process takes under three minutes. No additional staff. No changes to the HIS the institution already operates.
"Every rescued slot is direct revenue. Every empty chair that goes unrescued is installed capacity the institution gave away."
The cost of not managing no-shows
For a Costa Rican institution with 5,000 monthly appointments and a 20% no-show rate, the loss from unused slots represents a direct financial impact that rarely appears in operational cost analysis. It is assumed to be part of normal operations. It is not.
Situation Operational impact Financial impact 20% no-show rate with no rescue 1,000 empty slots per month in a 5,000-appointment institution Lost revenue + fixed costs per appointment (physician, room, supplies) Manual confirmation by call center Agents tied up with repetitive reminders. No real-time rescue capacity Operational cost with no return. No-show rate stays above 15% COCO automatic rescue Cancelled slots reassigned in under 3 minutes. Call center freed for higher-value tasks No-show rate reduced to 5% within an average of 90 days. Installed capacity recovered
Documented results in public health in Costa Rica
COCO does not operate only in private clinics. It has documented experience in the Costa Rican public sector, where patient volumes and operational complexity are comparable to the challenges the CCSS faces.
In the documented public health case study in Costa Rica, COCO automated patient outreach and follow-up in a screening program without replacing the existing system, achieving full traceability and a significant reduction in manual work at scale.
For institutions with multiple sites or chronic patient follow-up programs, automatic rescue solves a problem the call center cannot handle at scale: the systematic management of every available slot, 24 hours a day, 7 days a week.
Why the CCSS plan needs an operational rescue layer
The CCSS 2026–2030 plan includes the use of artificial intelligence to clean up records and update waiting lists more quickly. That is the right decision. But cleaning up records is a necessary condition, not a sufficient one.
The next step is operational: when a slot opens up, how is it reassigned? Who notifies the patient on the list? How long does that process take? Is it measured?
"AI will allow many cases to be updated and cleaned up much faster, as well as correcting records."
Enué Arrieta, coordinator of the CCSS Waiting List Technical Unit · Monumental, May 7, 2026
Cleaning up the list is the diagnosis. Rescuing the slot is the treatment. Costa Rican institutions that want to show measurable results in the next 90 days need both.
What COCO does differently in Costa Rica
Regional adaptation
We operate with the communication register and scheduling rules specific to the Costa Rican healthcare market. All WhatsApp flows, confirmation, and rescue processes are configured for local language, time zones, and appointment rules. This is not a generic platform adapted for the region, it is a configuration built specifically for Costa Rica's health system.
Integration without replacing what already works
Costa Rican institutions, public and private, already operate with HIS platforms, scheduling systems, and established processes. COCO integrates via API or database into the existing system. Implementation from 4 weeks. No migration periods. No operational continuity risk for the IT team.
Omnichannel rescue: where the patient already is
Costa Rican patients manage their appointments primarily through WhatsApp and phone. COCO confirms, rescues, and reassigns through the channels patients already use. No app download required. No change in patient behavior.
Results that can be defended in front of management
Every COCO proposal includes an ROI projection specific to the institution's appointment volume, no-show rate, and cost structure. The director or manager who adopts COCO can present their board, within 90 days, with a concrete metric showing how many slots were recovered and what that represents in revenue. That is not a technology promise, it is a financial decision with documented backing.
Does your institution manage more than 1,500 appointments per month in Costa Rica?
We review the numbers together: how many slots are being lost today and how much can be recovered in the first 90 days. No commitment required.
See the Costa Rica success story
Frequently asked questions
Does COCO replace the hospital information system (HIS)?
No. COCO integrates with the HIS the institution already has, via API or database connection. There is no data migration and no system replacement. The IT team validates the integration before implementation begins.
How long before results are visible?
Institutions working with COCO reduce their no-show rate to 5% within an average of 90 days from the start of operations.
Does it work for public institutions?
Yes. COCO has documented experience in the Costa Rican public sector. You can review the public health success story in Costa Rica for specific results.
What is the minimum institution size?
For Costa Rica, the recommended entry threshold is 1,500 monthly appointments. The ideal volume to maximize return is above 2,000 appointments per month.
Does the patient need to download an app?
No. Rescue and confirmation operate through WhatsApp and the channels patients already use. No installation required.
