A person receiving long-term support rarely experiences care as a collection of databases. They experience whether somebody knows their circumstances, whether a service responds when needs change and whether they have to explain the same information repeatedly. For Uruguay, this distinction is becoming increasingly important as the country moves from individual digital services toward a more connected care system.
Technology is already present within the Sistema Nacional Integrado de Cuidados (SNIC). Telecare provides remote emergency support in people's homes, applications and service inquiries can be managed through digital public channels, and different institutions hold information needed to administer benefits, workers and services. The wider Uruguay Aging, Long-Term Care & Community Support Knowledge Hub shows how these components sit within a national system built around the right to care.
The National Care Plan 2026–2030 creates the basis for a more significant transition. One of its four strategic objectives is to generate and make available timely, high-quality information and knowledge for decision-making. The Plan proposes consolidating the National Care Registry, integrating information on people using services, caregivers and services, harmonizing institutional information systems and developing interoperability and data-protection protocols.
This is potentially much more consequential than digitizing existing paperwork. Done well, connected information could help Uruguay understand demand, coordinate support, monitor quality and plan capacity. Done poorly, digitalization could reproduce institutional fragmentation electronically, exclude people who struggle with technology or create information risks without improving care. The central challenge is therefore not how much technology SNIC can adopt, but whether digital transformation makes care more coherent, accessible and person-centered.
Uruguay starts with substantial national digital infrastructure
Social care digitalization does not begin from an empty technological landscape.
Uruguay has spent years developing digital-government infrastructure through the Agencia de Gobierno Electrónico y Sociedad de la Información y del Conocimiento (Agesic). Its government interoperability platform provides mechanisms through which state organizations can integrate and exchange services and information in controlled environments. National digital policy has also emphasized digital citizenship, inclusion, connectivity, data governance, cybersecurity and the use of information for public decision-making.
Health provides an important adjacent example. Uruguay's Salud Digital program promotes information and communication technologies across public and private health services to improve quality and continuity, supported by integration infrastructure and increasingly structured health data.
Care is institutionally different. SNIC brings together social protection, disability, aging, health, employment, social security and other responsibilities rather than functioning as a branch of the health system. A health interoperability model therefore cannot simply be copied into care.
But the existence of national digital infrastructure changes what is possible. Uruguay does not need to conceptualize connected care solely as one enormous new care IT system. The stronger opportunity lies in making relevant systems capable of communicating appropriately while preserving clear responsibilities for the information each institution holds.
This places interoperability and data-exchange workflows at the center of service design rather than treating them as a technical issue for IT teams.
Telecare established the first visible digital relationship with long-term support
For many older people, Telecare is the most tangible example of technology within Uruguay's care system.
The current program is available to people aged 70 or over with mild or moderate dependency who live in a private home and meet the program's requirements. Following entry to the program, the person selects a provider from the authorized list and a device is installed so assistance can be requested in an emergency. The Banco de Previsión Social (BPS) administers the subsidy, with the level of public support varying according to household income.
In 2025, approximately 1,100 people were using Telecare. The National Care Plan 2026–2030 proposes expanding and diversifying the model, with a target of a service catalogue containing at least three technological alternatives.
That future direction matters because technology-enabled support no longer needs to mean one device serving one purpose.
Depending on future policy design, technological alternatives could potentially support different risks, levels of independence and personal preferences. But those possibilities should not be confused with current national provision. Uruguay's established service remains Telecare; a wider technology-enabled care ecosystem is an emerging direction.
This distinction protects against a common digital-policy mistake: describing technological potential as though it were already operating at scale.
Scenario: the alarm works, but the care pathway needs to work too
An 80-year-old man with moderate dependency lives alone and uses Telecare. He presses his device after becoming dizzy while moving from his bedroom. The response process works as intended and his daughter is contacted.
Viewed narrowly, this is a successful digital intervention.
But suppose similar incidents occur three times over several months. Each event may indicate something more important than successful alarm activation: declining mobility, medication difficulties, an emerging health condition or increasing dependency.
A connected care system would not automatically make a clinical judgment from those events. It would establish an appropriate route through which repeated patterns could become visible to the people responsible for reviewing his support, subject to legitimate information-sharing rules.
The operational value lies in moving from event response to informed review.
That requires decisions about what information a Telecare provider records, what can be shared, who receives it, what threshold justifies escalation and whether the person has consented where consent is the appropriate legal basis. It also requires clarity about the boundary between care information and clinical information.
Technology creates the signal. Governance determines whether that signal becomes useful care.
The National Care Registry could become foundational infrastructure
The most important digital development in the current National Care Plan may ultimately be less visible to the public than Telecare.
Uruguay already has a statutory basis for a National Care Registry. The 2026–2030 Plan acknowledges that its development has not been sustained consistently in previous stages and now identifies consolidation of the registry as a strategic objective.
The proposed registro único de cuidados is intended to integrate information on people using care, caregivers and services. The Plan envisages combining information that is currently dispersed and linking with existing institutional registers so that data can be analyzed by characteristics including age, sex, autonomy and territory.
That could change several aspects of system management.
- Demand could be compared more reliably with available service capacity.
- Workforce information could be related to where people requiring support live.
- Coverage gaps could become visible by population and territory.
- Service supervision and monitoring could draw on more coherent information.
- Evaluation could follow patterns across programs rather than relying only on isolated administrative datasets.
- Policy planning could use a stronger evidence base for future expansion.
The Plan is equally important for what it says must happen before that vision becomes operational. Institutional systems need to interact; data fields and collection protocols need definition; interoperability needs to be established; and protocols must protect individual information.
The registry should therefore be understood as an implementation program, not simply a database waiting to be switched on.
Interoperability is organizational before it is technical
Two systems can technically exchange data while the organizations behind them remain poorly coordinated.
This is especially relevant to SNIC because care responsibilities cross institutional boundaries. MIDES and the care system, BPS, the Ministerio de Salud Pública (MSP), aging and disability institutions and other public bodies may each hold information generated for different legal and operational purposes.
Interoperability therefore requires agreement about meaning as well as transmission.
A field labelled "service active" might mean that a subsidy has been approved in one system, that a worker relationship has been registered in another or that support is actually being delivered in a third. A dependency assessment has a different purpose from a medical diagnosis. A worker's training record is different from evidence that practice is currently effective.
Connected systems need common definitions where information is shared and explicit recognition where concepts are not equivalent.
This is why data governance and information accountability matter as much as technical integration. Somebody needs responsibility for data quality, definitions, access, correction, retention and appropriate use.
Organizations exploring similar transformation can use the Digital Transformation, AI and Cybersecurity Readiness Assessment to structure questions about governance, infrastructure, workforce readiness and risk. It is not an assessment of Uruguay's regulatory compliance or national systems; its relevance lies in helping leaders examine whether digital ambition is matched by organizational readiness.
A connected front door could change the person's experience of SNIC
The National Care Plan also proposes an important change in how people enter the system.
Historically, applications have often been associated with particular services. The current reform direction is toward a more person-centered entry process in which the individual's care situation is considered before determining the most appropriate response.
Digital infrastructure could support that shift.
A person should not need detailed knowledge of the internal architecture of SNIC to identify the correct program before asking for help. A stronger information model could support a common entry point, record relevant needs once and make the information available to authorized teams involved in assessment and service planning.
This does not mean every professional should see every piece of information. Nor does it mean an algorithm should decide what care somebody receives.
The objective is simpler: information should follow a legitimate care pathway rather than forcing the person to navigate institutional boundaries repeatedly.
Uruguay already provides online, telephone and in-person routes for people to consult care applications. Preserving that omnichannel principle will remain important as digital services expand. A digital front door should be another effective route into care, not the only door.
Scenario: one person, several systems, repeated information
A 79-year-old woman experiences a decline in mobility after hospitalization. Her daughter contacts the care system to understand what support may be available. Information about the woman's health is held within the health system; BPS holds relevant social-security information; the care system needs information about dependency and household circumstances; and a future service provider will need enough information to deliver support safely.
Without connected processes, the daughter may become the practical integration mechanism. She repeats information, explains recent changes and carries documents between organizations.
Digital transformation should reduce that burden without creating unrestricted data sharing.
Relevant information could be retrieved or verified through authorized channels where there is a lawful basis, while care-specific assessment remains the responsibility of the appropriate team. The person should know how information is being used and should retain routes to correct inaccurate information.
If support is subsequently arranged, the system should also be able to distinguish between administrative approval and effective service commencement.
The scenario illustrates the difference between digitization and connected care. Digitization can replace four paper forms with four online forms. Connected care asks why the person needs to supply the same information four times.
Digital transformation should strengthen person-centered care, not standardize people
Better information can make care more personalized, but it can also encourage over-standardization.
Structured fields are attractive because they can be counted, compared and automated. Dependency level, age, service type, hours and geographic location can all support planning. Yet good care also depends on information that is harder to reduce to a category: what the person wants to do, what matters in their daily life, which risks they are willing to take and what support they already receive from family or community networks.
A digitally mature care record therefore needs both structure and narrative.
This is particularly relevant as Uruguay develops more person-centered care planning. Digital systems should make goals, preferences and changing circumstances visible rather than allowing administrative eligibility to become the entire record of the person.
The principle connects technology directly with rights, consent and decision-making. A system that knows more about somebody also carries greater responsibility to use that knowledge proportionately and transparently.
Workforce technology should remove friction rather than digitize bureaucracy
Care workers will experience digital transformation differently from national policymakers.
For a Personal Assistant, Day Center worker or residential-care employee, technology is useful when it makes work easier to coordinate, improves access to relevant information, supports learning or reduces unnecessary administration. It becomes burdensome when several systems require duplicate entries, interfaces are difficult to use or documentation expands without changing decisions.
Uruguay's professionalization agenda creates an opportunity to connect workforce and digital development.
Training records, competency recognition and worker registries can potentially support better workforce intelligence. Digital learning can extend access outside major population centers. Scheduling and capacity tools could help collective home-care models organize workers more efficiently. Remote supervision may extend professional support where specialist expertise is scarce.
But digital capability itself becomes a workforce competency. Workers need to understand privacy, secure communication, accurate documentation and the limits of digital tools.
The objective should be technology that gives more usable time and information to care relationships, not technology that turns direct-care workers into data-entry operators.
Digital inclusion is part of the right to care
Uruguay's wider digital policy emphasizes a digital society that leaves nobody behind. That principle has particular importance in long-term care.
Older people and people with disabilities are not homogeneous digital populations. Some use smartphones, digital identity and online services confidently. Others face barriers related to cognition, vision, hearing, dexterity, literacy, affordability, connectivity or confidence. A person may be comfortable using messaging applications while finding an online government process difficult.
Family members often bridge these gaps, but designing services on the assumption that a relative will always act as digital intermediary risks reproducing unpaid-care burdens.
Digital transformation therefore needs accessible alternatives.
Online applications can coexist with telephone and face-to-face routes. Interfaces can meet accessibility requirements. Supported digital access can help people complete processes without transferring decision-making to somebody else. Authentication needs to be secure without becoming so difficult that legitimate users are excluded.
The issue becomes especially important if future care planning, service choice or monitoring moves online. Digital exclusion and access to care should be measured as an implementation outcome, not treated as an unfortunate side effect of modernization.
Scenario: a digital service saves time for one person and creates a barrier for another
Two people are invited to use a new digital process for reviewing aspects of their care support.
The first is a 68-year-old man with a physical disability who already uses digital public services regularly. He values being able to submit information without traveling to an office and wants electronic notifications rather than telephone calls.
The second is an 86-year-old woman with mild cognitive impairment. She has a mobile phone but rarely uses anything beyond calls. Her son could manage the process for her, but she remains able to express her own preferences and does not want him making decisions unnecessarily.
A person-centered digital system does not force both people through the same channel.
The first person should be able to benefit from efficient digital self-service. The second may need telephone or face-to-face support, an accessible explanation and assistance that preserves her involvement rather than simply transferring control to her son.
Monitoring only the percentage of transactions completed online could make the second pathway appear less successful. Measuring accessibility, completion, user experience and preserved autonomy gives a different picture.
Digital maturity is therefore not synonymous with maximum digital uptake. It is the ability to use technology where it improves access while maintaining effective alternatives where it does not.
Privacy becomes more important as information becomes more useful
The value of a connected care system comes partly from combining information that was previously separated. The risk comes from exactly the same capability.
Care information can reveal disability, dependency, household composition, financial circumstances, service use and daily routines. Connections with health or social-protection systems may make the overall picture even more sensitive.
Uruguay's National Care Plan explicitly recognizes this issue by identifying protocols for the protection of individual data as part of implementing the National Care Registry.
Strong information governance needs to answer practical questions. Which institution is responsible for a particular dataset? Which roles can access it? For what purpose? How are corrections made? What happens when a worker changes role? How is inappropriate access detected? Which information genuinely needs to be shared to coordinate care?
More integration should not mean universal visibility.
The principle of appropriate access is especially important if future systems incorporate mobile applications, remote monitoring or data from people's homes. Information generated continuously can reveal far more about somebody's life than a periodic assessment.
Privacy-by-design therefore belongs within service design from the beginning, linking connected care with privacy and risk mitigation rather than attempting to add safeguards after technology has been deployed.
Cybersecurity becomes a continuity-of-care issue
As care becomes digitally dependent, cybersecurity moves beyond information protection into operational resilience.
A cyber incident affecting a national registry, provider platform or communication system could prevent staff from accessing information, delay administrative processes or disrupt technology-enabled support. A device failure in one home is different from a system outage affecting thousands of users, but both require contingency planning.
This creates an important design principle: essential care should not become impossible simply because the preferred digital route is unavailable.
Providers and public institutions need proportionate fallback arrangements, clear incident responsibilities and recovery priorities. Systems supporting immediate safety require different resilience expectations from systems used primarily for reporting or analysis.
The growing connection between digital and operational risk also means technology decisions cannot remain solely within IT functions. Leaders responsible for care quality need to understand what happens to services when technology is unavailable.
This is one reason the digital-readiness question extends beyond purchasing software. It encompasses resilience, workforce behavior, supplier dependencies, data recovery and the ability to continue supporting people safely during disruption.
Connected data could transform capacity planning
The National Care Registry is intended not only to support administration but to improve planning, management and evaluation.
This becomes particularly powerful when information about demand is connected with information about supply.
Uruguay could increasingly understand not simply how many people receive a service, but where unmet demand exists, which dependency profiles are growing, where authorized workers are available, how long people wait and where service discontinuity occurs. Territorial analysis could reveal whether apparent national capacity conceals local shortages.
This is where digital transformation begins to influence funding decisions.
If reliable information shows persistent demand for home support in one department, investment can be targeted more intelligently. If Day Center capacity is available but utilization is low, transport, eligibility, awareness or service design can be investigated before additional facilities are created. If Personal Assistant arrangements repeatedly break down in particular areas, workforce capacity can be examined rather than treating each case as an isolated problem.
The Digital Twin Scenario Modeler provides organizations examining comparable questions with a way to explore how changes in workforce, demand and capacity might affect service stability. It is not a predictive model of Uruguay's SNIC. Its relevance is methodological: connected information becomes more valuable when it supports prospective planning rather than only retrospective reporting.
From administrative data to quality intelligence
A digital care system can collect enormous quantities of information without knowing whether care is good.
Counts of applications, users, payments, workers and service hours are important. They describe activity. Quality requires additional evidence.
The National Care Plan proposes a system of care indicators covering dimensions including service coverage, population characteristics, quality, gender equality, social corresponsibility and care workers' conditions. This moves the information agenda beyond basic administrative reporting.
For digital transformation, the critical question is which information can reasonably indicate the experience and outcomes of care.
Useful intelligence might connect service continuity with user experience, identify repeated complaints, examine whether care plans change when needs change or show whether access differs by territory and population group. Quantitative indicators can be strengthened by qualitative evidence from people using services and families.
This aligns with translating practice into evidence: data becomes meaningful when it explains what is happening well enough to support a decision.
Organizations designing similar oversight arrangements can use the Quality Dashboard Builder to structure relationships between capacity, quality, outcomes and risk. The tool is not an official Uruguayan reporting framework, but it illustrates the difference between accumulating metrics and creating an operating view that supports action.
Scenario: a dashboard reveals a problem that no individual case could show
National figures show that a home-based care program is expanding. Overall enrollment is increasing and the number of active workers has also risen.
When the information is segmented territorially, however, one department shows a different pattern. New users are entering the program, but service commencement takes longer and arrangements are more likely to change within the first few months.
No single case proves a systemic problem. Connected data reveals the pattern.
The next step is not to label the department as underperforming. Leaders investigate the causes. The issue may be a shortage of workers, travel distances, unstable schedules, administrative delays or a mismatch between the type of support available and people's needs.
Qualitative feedback from users and workers can then be considered alongside the quantitative signal.
If workforce availability is the cause, training and employment policy may need to respond. If the problem is administrative, the workflow can be redesigned. If transport is affecting service viability, the solution sits partly outside the care program.
This is the practical value of connected intelligence: it turns scattered operational experiences into a pattern visible to decision-makers without pretending that the data alone explains why the pattern exists.
Artificial intelligence should follow the data foundations, not precede them
Artificial intelligence will inevitably form part of future discussions about care technology. Uruguay's wider digital-government strategy already considers responsible use of emerging technologies and data science.
Within long-term care, plausible future applications could include administrative automation, identifying unusual service patterns, supporting workforce scheduling, summarizing information or helping analysts examine population trends.
These possibilities remain different from established SNIC practice.
Care decisions involve rights, personal circumstances and consequences that cannot be reduced safely to automated predictions. A model trained on incomplete service data could learn patterns of historical access rather than actual need. If one population has been underserved, an algorithm may reproduce that underrepresentation while appearing objective.
AI also increases questions about explainability, data provenance, bias and accountability. If a system highlights somebody as high risk, professionals need to understand what that signal means and what it does not mean.
The strongest near-term priority for SNIC is therefore likely to remain the less dramatic work already identified in the National Care Plan: reliable registers, common definitions, interoperable systems, protected information and useful indicators.
Advanced analytics become safer and more valuable when those foundations are strong. AI and automation in care should follow a clearly governed problem, not become the starting point simply because the technology is available.
Suppliers and providers need to fit the public architecture
Not every digital component of care will necessarily be built or operated directly by the State.
Telecare already demonstrates a model in which eligible users select from authorized companies and BPS pays the applicable subsidy directly to the supplier. Future technology-enabled services may similarly involve private or social-sector organizations.
This creates a procurement and assurance challenge.
A device can function technically while fitting poorly with the wider care system. A provider platform can produce useful operational information but make data extraction difficult. Proprietary systems can create dependence on one supplier if interoperability and data portability are not considered from the beginning.
Digital service specifications therefore need to address more than device performance. Accessibility, support arrangements, information standards, security, continuity, user experience, integration and exit arrangements can all affect long-term value.
The principle is particularly important where technology becomes infrastructure. Switching an isolated application is relatively straightforward; replacing a system embedded across thousands of care relationships can be far more disruptive.
Governance needs to connect technology decisions with care outcomes
Uruguay's care system already has multi-institutional governance through the Junta Nacional de Cuidados, while the National Care Plan itself was developed with participation from the Comité Consultivo de Cuidados as well as state institutions.
Digital transformation adds another layer to that governance.
Technology decisions can affect access, workforce practice, privacy, service quality and resource allocation simultaneously. The relevant question is therefore not simply whether a digital project is delivered on time.
Governance needs visibility of whether it is improving care.
That may require evidence on adoption, accessibility, system reliability, workforce burden, data quality, security incidents, user experience and whether digital information actually changes decisions. People using services and caregivers should be able to identify problems that technical performance measures cannot reveal.
The Governance Maturity Assessment can help organizations working on comparable transformation examine ownership, evidence and oversight. It does not reproduce SNIC's institutional structure, but it reinforces a transferable principle: digital transformation needs accountable leadership outside the technology function.
What connected care could mean by 2030
Uruguay's National Care Plan does not promise a fully integrated digital care platform by 2030, and it would be inaccurate to describe that as an established national destination.
Its commitments nevertheless point toward a more connected operating model.
If the National Care Registry is consolidated, institutional information becomes more interoperable, care indicators mature and technological alternatives expand, several currently separate functions could become more coherent.
A person could enter the care system without having to identify the correct program in advance. Assessment information could support a personalized plan. Authorized teams could verify relevant information without unnecessary repetition. Changes in need could be more visible. Workforce and service capacity could be compared with demand. National leaders could see where access and quality vary.
None of those improvements requires technology to replace professional judgment.
The technology provides continuity of information. People provide interpretation, relationships, decisions and care.
That distinction will become increasingly important as digital capabilities expand. Connected care should make the human system easier to navigate rather than attempt to automate the human parts of care that matter most.
International learning lies in connecting digital and care reform
Uruguay's experience offers a useful lesson for other countries developing long-term care systems.
Digital transformation is often pursued after service structures have become deeply fragmented, leaving governments trying to connect legacy systems with different standards and incentives. Uruguay has an opportunity to develop parts of its information architecture while SNIC itself is still expanding toward greater universality.
That does not make the task simple. The care system already spans multiple institutions, programs and provider arrangements, and implementation will require sustained investment and agreement about data governance.
The transferable principle lies less in Uruguay's specific technology and more in the sequence of reform.
Care policy, information architecture and service design can evolve together. A national registry can be designed around the questions policymakers and operational teams actually need to answer. Interoperability can support person-centered pathways rather than merely institutional efficiency. Digital inclusion can be treated as part of access. Privacy and cybersecurity can be built into the model before dependence on digital infrastructure becomes greater.
Other systems could adapt those principles without replicating Uruguay's institutional structure.
Conclusion
Uruguay's digital care journey is moving beyond the question of whether technology has a role in long-term support. Telecare has already established that role. The more important question for the 2026–2030 period is whether technology can help SNIC operate as a more connected system while preserving the relationships, rights and local services on which care ultimately depends.
The National Care Registry is central to that opportunity. Combined with interoperable public infrastructure, stronger indicators and a more person-centered entry model, it could help connect demand, services, workforce capacity and quality in ways that fragmented administrative data cannot. Expanding Telecare and other technological alternatives can add another layer of support, but digital services will create value only where they remain accessible, secure and connected to real-world response.
The strongest direction is therefore not maximum digitalization. It is purposeful digitalization: information collected because it improves a decision, systems connected because connection reduces fragmentation, technology deployed because it strengthens independence, and analytics used with human oversight rather than as a substitute for judgment.
For Uruguay, connected care could become part of the infrastructure required to turn a national right into a responsive system. The success of that transformation will be measured not by the sophistication of its technology, but by whether people experience care as more coherent, timely, accessible and personal.