Technology and Long-Term Care in Taiwan: Digital Innovation, Assistive Technology and Connected Support

A technology can be clinically useful, technically reliable and publicly funded, yet still fail to improve somebody’s life. A mobility device that does not fit the home, a sensor whose alerts nobody owns, a digital record that cannot communicate with another system or monitoring equipment that a person finds intrusive can all increase complexity rather than reduce it.

Taiwan’s move into Long-Term Care 3.0 makes this distinction increasingly important. Smart care is now an explicit part of national long-term care policy, alongside medical and care integration, reablement, stronger family support, workforce development and ageing in place. Within the Taiwan Ageing, Long-Term Care & Community Support Knowledge Hub, technology therefore needs to be understood not as a separate innovation agenda but as part of the infrastructure through which future care will be delivered.

The shift is already visible. From July 2026, Taiwan introduced a new rental-based benefit for approved smart assistive technologies within LTC 3.0. The initial approved products cover areas including mobility, bathing and toileting, home care beds and safety monitoring, within a wider policy framework that also anticipates transfer-related technologies. The policy extends beyond private homes: LTC 3.0 also envisages greater use of technology in day care and residential long-term care.

The strategic opportunity is substantial. Technology can help people remain independent, support families, reduce avoidable physical workload, extend professional reach and improve coordination. But none of those outcomes is automatic. Taiwan’s next challenge is to connect technology with assessment, service design, workforce practice, information governance and measurable human outcomes.

Technology is moving from optional equipment towards care infrastructure

Assistive technology has long had a place within Taiwan’s long-term care arrangements. Equipment and home accessibility improvements were incorporated into the long-term care payment framework before LTC 3.0, reflecting the practical reality that care needs are shaped partly by the environment in which somebody lives.

The 2026 reforms move the policy further. Smart assistive technology is no longer being treated only as something an individual family might independently purchase. Taiwan has established a formal route through which approved technologies can enter the publicly supported long-term care system, subject to eligibility, assessment, specified benefit arrangements and product requirements.

This matters because technology adoption changes when it becomes part of a care entitlement. Questions that might once have been private purchasing decisions become questions of public administration and quality: which technologies qualify, how products are assessed, how needs are matched to devices, what evidence supports continued use and who is responsible when technology interacts with care delivery.

The Ministry of Health and Welfare has created an information and registration framework for eligible smart assistive products. Products entering the scheme are considered against the relevant specifications and supporting evidence, including applicable safety certification, before being listed through the long-term care assistive technology system.

That provides an important control over products entering the benefit framework. It does not, however, determine whether a particular product will work well for a particular person.

Technology governance therefore has at least two levels: assurance about the product and assurance about its use.

The rental model changes the economics and logic of assistive technology

One of the most significant features of Taiwan’s 2026 reform is the decision to develop smart assistive technology through a rental model.

The distinction is more important than it initially appears.

Long-term care needs are dynamic. Someone recovering from illness may need substantial transfer assistance for several months but regain function through rehabilitation. A person with a progressive neurological condition may require increasingly sophisticated support. Someone living with dementia may initially benefit from one form of safety technology but require a different approach as cognition and behaviour change.

A purchase-based model can leave households with expensive equipment that no longer matches the person. Rental creates greater potential for adaptation.

Under the new arrangements, eligible people can choose between the established traditional assistive-device route and the newer smart-technology rental route, rather than simply combining both allowances without limit. The smart-technology option provides a higher three-year benefit ceiling, incorporating an allocation for home accessibility improvements, and allows approved rental equipment to change as needs evolve.

This creates several potential advantages:

• equipment can be changed as function improves or deteriorates;
• families face less pressure to make a large one-off purchase for a temporary need;
• technology can potentially follow rehabilitation rather than locking people into assumptions of permanent dependency;
• maintenance, recovery and reuse can become part of a service model rather than solely the household’s responsibility; and
• public funding can focus more directly on continuing usefulness rather than ownership of equipment.

The wider principle connects strongly with assistive technology as an enabling component of care rather than a collection of devices.

Rental also creates new operational responsibilities. Equipment needs to be supplied, installed, maintained, cleaned where appropriate, recovered and replaced. Users and caregivers need instruction. Faults require response arrangements. Technology suppliers become part of the continuity of care even if they do not provide personal care themselves.

In other words, moving from products to technology-enabled care also creates a service supply chain.

Scenario: rehabilitation changes the technology rather than leaving it behind

A 76-year-old man returns home after a period of post-acute rehabilitation following serious illness. Initially he has limited transfer ability and his wife cannot safely provide the physical assistance required. Assessment identifies a combination of long-term care support, environmental adaptation and assistive technology.

A conventional approach might purchase equipment based on his needs at discharge. Six months later, however, rehabilitation has improved his strength and balance. Some of the original equipment now provides more assistance than he needs, while another device would better support independent transfers.

Under a flexible rental approach, the technology can be reassessed alongside the person’s functional progress. Equipment is not treated as a permanent answer simply because public money has already purchased it. The objective remains independence.

The operational challenge is coordination. The rehabilitation professional understands changing function. The long-term care team understands daily support. The family knows how the equipment performs in ordinary life. The supplier understands its technical limitations. If these perspectives remain separate, the equipment may continue unchanged despite the person changing around it.

A stronger pathway therefore links review of the device to review of the care plan. If assistance can safely be reduced, both technology and worker input can change. If function deteriorates, the same process can increase support.

This is where care planning and review become inseparable from technology. The relevant measure is not how many devices have been deployed but whether the combination of equipment and human support continues to match the person.

Smart care can strengthen independence without becoming surveillance

Safety-monitoring technology presents one of the clearest opportunities and one of the clearest governance challenges.

Sensors can potentially identify falls, unusual inactivity, movement patterns or other events that warrant attention. Remote monitoring may reassure families supporting an older person who lives alone. Connected devices can provide information that helps services recognise deterioration earlier.

Yet monitoring can also change the relationship between the person and everyone around them.

The fact that a technology can collect information does not establish that it should collect everything technically possible. A device installed to identify a specific safety risk does not automatically justify continuous observation of unrelated daily activity.

The strongest model is therefore purpose-led. Before technology is introduced, the care process should identify the problem it is intended to address, what information is genuinely necessary, who will receive it, what response is expected and how the person’s preferences have been considered.

This connects with the wider principle of person-centred technology. Digital capability should expand control wherever possible rather than making surveillance the price of receiving support.

The distinction becomes especially important for people with cognitive impairment, people living alone and people whose relatives are carrying significant anxiety. Technology can reduce risk, but it can also create a false expectation that every risk should be continuously observable.

An alert is useful only when somebody owns the response

Smart care systems often focus attention on detection. Operationally, response matters just as much.

Consider a sensor that identifies that an older person may have fallen during the night. The technology has performed correctly. The quality of the service now depends on what happens next.

Who receives the alert? How quickly must they act? Is the responder a family member, monitoring service, home-care organisation or emergency service? What information can they access? What happens if the first contact does not respond? How are false alerts managed? What if the device repeatedly loses connectivity?

These are service-design questions rather than engineering questions.

Organisations adopting connected technologies therefore need clear decision-making and escalation arrangements. Technology should make responsibility clearer, not distribute it so widely that everyone assumes somebody else is responding.

This is particularly important where smart equipment crosses organisational boundaries. A supplier may maintain the device while a care organisation responds to alerts and a municipality administers long-term care benefits. A family may be involved outside formal service hours. Each actor can perform its own role correctly while the overall pathway still contains gaps.

The Governance Maturity Assessment can help organisations examining comparable arrangements test whether responsibilities, escalation and assurance remain visible across organisational boundaries. It is not a Taiwanese regulatory instrument, but the governance principle is directly transferable: connected technology requires connected accountability.

Technology should reduce workforce burden rather than simply relocate it

Taiwan’s demographic transition makes the workforce dimension unavoidable. The country is ageing rapidly while the working-age population is under pressure, and long-term care demand is increasing. LTC 3.0 consequently combines smart care with explicit workforce-development measures.

Technology can contribute to workforce sustainability, but simplistic labour-substitution arguments are rarely useful in long-term care.

A transfer device may reduce physical strain without removing the need for a worker. Digital documentation may reduce duplication but require new data skills. Remote professional input may extend specialist reach while creating additional coordination work. Monitoring technology may reduce unnecessary physical checks but create an alert-management workload.

The important productivity question is therefore not how many workers a technology can replace. It is what work can be removed, redesigned or performed more safely so that scarce human time is concentrated where human judgement and relationships matter most.

In day care and residential services, technology may support transfers, mobility, observation or workflow. In home care, digital scheduling and information systems can potentially reduce administrative friction. For families, assistive technology may reduce physically demanding tasks or provide reassurance between formal visits.

But poorly implemented technology can do the opposite. Workers may need to enter information into multiple systems. Devices may produce excessive alerts. Equipment may be available but unused because staff have not been trained. Technical failures may generate additional calls and visits.

That is why technology strategy and workforce capability need to develop together.

Scenario: a day care centre introduces technology without redesigning work

A day care centre introduces several smart devices intended to support mobility, activity monitoring and staff efficiency. The equipment performs as designed, but workers receive only brief technical demonstrations before implementation.

Within weeks, two problems emerge. Some employees avoid using the equipment because they are uncertain when it is appropriate. Others use it consistently but continue completing the old manual documentation as well as new digital records because nobody has formally retired the previous process.

Technology that was intended to save time is now creating duplicate work.

The centre reviews implementation rather than blaming individual staff. It maps the workflow from assessment through daily use, recording, review and escalation. Workers help identify which steps can genuinely be removed. Training is redesigned around real care situations rather than device functions alone. Responsibility for checking equipment, reporting faults and reviewing generated information becomes explicit.

The centre also asks people attending the service how they experience the technology. One device that staff consider efficient is uncomfortable for several users and is subsequently used more selectively.

The improvement does not come from purchasing more technology. It comes from integrating the technology into the operating model.

This distinction is important for Taiwan as smart devices spread across day care and residential settings under LTC 3.0. Technology deployment should be accompanied by workflow redesign, workforce development and outcome review. Otherwise, digital innovation can sit on top of existing practice rather than changing it.

Connected care requires systems to exchange useful information

Assistive devices are only one part of digital long-term care. A second challenge concerns information itself.

People receiving long-term care may interact with hospitals, clinics, home medical teams, rehabilitation professionals, pharmacists, long-term care managers, home-care organisations, day services, residential services and family caregivers. Each may hold information that affects another part of the pathway.

Taiwan’s National Health Insurance system has developed extensive digital health infrastructure, while long-term care has its own administrative and service information requirements. LTC 3.0’s stronger emphasis on medical and long-term care integration makes the interface between these environments increasingly important.

Interoperability does not necessarily require every organisation to use one enormous system. It requires relevant information to move reliably enough that the person does not become the only connection between services.

For example, a care worker noticing a significant functional change should not need access to an entire medical record. But the pathway needs a way for the observation to reach the appropriate professional. A rehabilitation team may need to know how somebody is functioning at home. A long-term care provider may need current information relevant to safe support following a change in treatment.

The wider discipline of interoperability and system integration therefore concerns purposeful information exchange rather than unrestricted data access.

Good digital integration answers three questions: what information is needed, by whom and for what purpose?

Data quality becomes a care-quality issue

Connected systems amplify both good and bad information.

If a person’s mobility status is outdated, a digital care plan can distribute that outdated information efficiently. If contact details are incorrect, automated notifications may fail consistently. If the same person is represented differently across systems, information may not link reliably. If workers record an outcome inconsistently, dashboards can create false confidence.

Digital transformation therefore increases the importance of data quality.

This is not solely an information-technology responsibility. Frontline staff create much of the data on which operational systems depend. Care managers interpret it. Service leaders decide what is monitored. Technology teams determine how information is structured and exchanged.

The governance requirement is to identify which data are safety-critical or decision-critical and ensure they are sufficiently accurate, current and understandable.

For long-term care, these may include changing functional ability, significant health risks, current support arrangements, assistive technology, relevant medication information, emergency contacts, communication requirements and agreed escalation arrangements.

Not every available data field deserves equal attention. Collecting more information can actually reduce quality if workers spend time entering data that nobody uses.

The Quality Dashboard Builder offers a transferable way to think about this problem by connecting measures to decisions rather than accumulating indicators for their own sake. For organisations working in any care system, the stronger question is not “How much data do we have?” but “What can we understand and improve because we have it?”

Scenario: four services know part of the story

An 84-year-old woman with heart failure, reduced mobility and early cognitive impairment receives home-based long-term care. Her daughter visits several times a week. A home-care worker notices that the woman is increasingly breathless and that her legs appear more swollen than usual.

The worker records the observation in the care system, but the information is not automatically visible to the medical team. The daughter separately contacts a clinic. Meanwhile, another worker arrives the following day without knowing that deterioration has already been identified.

Nothing here requires every participant to have unrestricted access to every record. It requires an agreed information pathway.

Under a better-connected model, the worker knows which changes require escalation and can transmit the relevant observation through an established route. The receiving professional can see enough contextual information to determine whether clinical review is needed. The care team can then receive any revised instructions relevant to daily support.

If similar information gaps recur, they should become visible at system level. Repeated delays between observation and response may indicate an interoperability problem, unclear professional boundaries or an escalation process that depends too heavily on families.

The woman’s daughter remains an important partner, but she no longer has to function as the primary communications network connecting otherwise separate services.

This illustrates the practical value of digital integration. Its purpose is not to create the most technologically sophisticated record. It is to reduce the probability that important information becomes stranded between organisations.

Privacy and cyber resilience are part of care safety

As long-term care becomes more connected, the consequences of weak information governance increase.

Traditional care records already contain sensitive personal information. Smart technologies can add information about movement, routines, location, behaviour and activity within the home. Remote monitoring may generate continuous or near-continuous data rather than occasional observations recorded by a worker.

The privacy implications are therefore qualitatively different.

People need to understand, as far as practicable, what a technology does and how its information is used. Access should reflect legitimate roles. Data retention should have a purpose. Suppliers handling care information become part of the information-governance environment rather than merely hardware vendors.

Cyber resilience also becomes a continuity issue. If a digital care platform is unavailable, workers still need enough information to provide safe support. If a connected device loses network access, there needs to be clarity about whether it continues functioning locally and how the failure becomes known. If an organisation is affected by a cyber incident, recovery arrangements need to protect both information and service continuity.

This is why cyber security and digital resilience should be treated as care-quality disciplines, not merely technical compliance.

The Digital Transformation Readiness Assessment can help organisations examine whether strategy, governance, cyber resilience and workforce readiness are developing alongside technological adoption. Its value in an international context lies in testing organisational preparedness rather than providing country-specific certification.

Digital inclusion determines who benefits

Taiwan has substantial digital capability, but national technological sophistication does not mean every older or disabled person interacts with technology in the same way.

Digital confidence, cognition, vision, hearing, dexterity, literacy, language, income, connectivity and access to family support can all affect whether a technology is genuinely usable.

This matters because digitisation can create a new access barrier when an optional tool gradually becomes the assumed route to a service.

A family may be comfortable receiving information through a digital platform while an older person prefers telephone or face-to-face communication. Someone with physical impairment may benefit greatly from voice control while finding touchscreen interfaces inaccessible. A remote community may value tele-support but experience connectivity limitations.

The relevant principle of digital inclusion therefore needs to be built into service design.

Digital should expand routes to support, not quietly remove non-digital ones before people can use the alternative.

This is particularly important in long-term care because the people most likely to benefit from technological support may also be among those most likely to experience sensory, cognitive or physical barriers to conventional digital interfaces.

Family caregivers can gain support without becoming unpaid monitoring centres

Technology can be highly valuable to families. A sensor may provide reassurance when an older relative lives alone. A transfer device can reduce physical strain. Remote communication can make professional advice easier to obtain. Digital scheduling can help relatives understand when formal support is expected.

But technology can also transfer work.

If every alert goes to a daughter’s phone, the system may have converted professional monitoring into continuous unpaid vigilance. If a family is expected to troubleshoot equipment, interpret data and coordinate service responses, technology may increase rather than reduce caregiver burden.

This is especially relevant in Taiwan because families remain central to long-term care, including households employing migrant family caregivers. Technology should support this care network without assuming unlimited family availability or technical competence.

Implementation should therefore distinguish between information a family wants to receive and responsibility a formal service expects the family to carry.

The principle connects directly with family partnership and carer support. Partnership means involving families in decisions and recognising their knowledge while remaining explicit about where formal responsibility sits.

Technology suppliers are becoming part of the quality chain

The greater the dependence on technology, the more important supplier performance becomes.

A care organisation may provide excellent personal support yet still experience service disruption if essential equipment cannot be repaired promptly. A municipality may administer benefits effectively while users struggle because supplier instructions are inaccessible. A digital platform may improve coordination but introduce operational risk if software changes are poorly managed.

Technology procurement and product approval therefore represent only the beginning of assurance.

For rental-based assistive technology, the continuing service surrounding the device becomes particularly important. Maintenance, replacement, cleaning, technical support, user training and equipment recovery all influence value.

Long-term care systems consequently need to understand supplier performance in terms that go beyond product specification. Relevant evidence may include reliability, response times, recurring faults, user abandonment, training effectiveness and whether equipment continues to match assessed need.

This creates an opportunity for Taiwan to build learning into the expansion of smart care. As use grows, aggregate evidence can show which technologies deliver sustained benefit in ordinary homes and care settings rather than only under demonstration conditions.

Scenario: the technology works but the care pathway does not

A residential long-term care institution introduces a connected safety system intended to identify residents at heightened risk of falls during the night. The technology successfully detects movement patterns and generates alerts for staff.

Initially the number of alerts is high. Workers begin responding to almost every notification, increasing night-time workload. After several weeks, some staff become less responsive because many alerts have not required intervention.

The technical system has not failed. The operating model has.

The institution reviews the pattern with nursing staff, care workers and the technology supplier. Alert thresholds are examined, but the review goes further. It considers which residents genuinely benefit from monitoring, whether individual risk profiles have been configured appropriately, how alerts should be prioritised and what staff response is expected.

Residents and families are also involved where monitoring affects privacy and daily experience.

After redesign, the system is used more selectively. High-priority alerts have clearer escalation arrangements, while unnecessary notifications are reduced. Falls information is reviewed alongside medication, mobility, environment and staffing rather than assuming that technology alone explains or prevents incidents.

If a serious fall occurs, governance review considers both human and technological factors: whether the device worked, whether the alert reached the right person, whether the response was timely and whether previous patterns had already indicated increasing risk.

The scenario illustrates why smart care needs learning and continuous improvement. Technology generates new evidence, but organisations still need the capability to interpret and act on it.

Evidence should focus on outcomes rather than deployment numbers

National technology programmes can easily be measured through inputs: approved products, devices rented, facilities equipped, training sessions delivered or funding spent.

These indicators are useful for understanding implementation, but they do not establish impact.

A stronger evidence model asks what changed for people and services. Depending on the technology, relevant outcomes could include greater independence, reduced caregiver strain, safer transfers, fewer preventable injuries, improved rehabilitation, faster response to deterioration, reduced duplication, greater workforce capacity or improved continuity.

Some outcomes may be less positive. A device may be abandoned. False alerts may increase workload. Monitoring may reduce privacy. Digital processes may exclude people who need non-digital support. Staff may spend more time managing technology than the previous process required.

These effects should also be measured.

Technology programmes become more credible when they allow discontinuation as well as expansion. If a product does not deliver sufficient benefit, the system should be able to learn from that evidence rather than treating continued deployment as proof of success.

This is particularly compatible with Taiwan’s rental model because changing or withdrawing equipment can be easier when public support is not tied exclusively to permanent ownership.

Artificial intelligence will require a higher governance threshold

The expansion of smart technology creates a pathway towards more sophisticated use of data and artificial intelligence, but these developments should be distinguished from established national practice.

AI could plausibly support future long-term care through pattern recognition, administrative automation, workforce planning, predictive maintenance, translation, documentation support or identification of changes that warrant professional review. Some applications may reduce repetitive work or help scarce specialist expertise reach more people.

The governance threshold should rise when technology begins to influence consequential decisions.

A system identifying patterns that may warrant review is different from a system deciding that somebody no longer needs a service. An algorithm helping prioritise information is different from an automated eligibility decision. Predictive models can be useful without being treated as objective truth.

Future development should therefore keep human accountability visible. Professionals and public authorities need to understand what a system is intended to do, the quality and limitations of the data it uses, how errors can be detected and who remains responsible for decisions.

The wider theme of artificial intelligence and automation in care is consequently best understood as a governance question as well as an innovation opportunity.

Taiwan’s strong technology sector may create significant opportunities for care innovation, but technical capability alone should not determine adoption. Long-term care technologies operate in intimate environments and affect people who may depend heavily on others. Evidence, proportionality and human oversight therefore matter as much as sophistication.

Technology can help address geography without eliminating distance

Taiwan’s geography creates uneven conditions for long-term care. Major urban areas can support dense networks of health professionals, long-term care organisations and technology suppliers. Rural, mountainous, remote and island communities face different challenges.

Digital technology can reduce some aspects of distance. Remote professional consultation may extend specialist reach. Digital coordination can reduce unnecessary travel for information exchange. Monitoring may provide additional support between physical visits.

But technology does not abolish geography.

A person still needs hands-on assistance with many activities. Equipment still needs delivery, installation and repair. Connectivity may be less reliable. A remote consultation cannot perform every physical assessment. Technology suppliers themselves may be concentrated geographically.

The stronger model therefore uses technology to complement local human capacity rather than justify its withdrawal.

This distinction will become increasingly important as Taiwan seeks to maintain equitable long-term care access across very different communities. Digital capability can make scarce expertise more reachable, but local service infrastructure remains necessary for care that must physically reach the person.

Governance has to connect innovation with accountability

As smart care expands, responsibility is distributed across more actors: the Ministry of Health and Welfare, local governments, long-term care management structures, care organisations, health professionals, technology suppliers, workers, families and people using services.

Distributed responsibility makes governance more important, not less.

At national level, policy can establish eligibility, benefit structures, product requirements and strategic direction. Local administrations translate those arrangements into practical access. Providers decide how technology interacts with daily care. Suppliers influence reliability and usability. Professionals determine how information contributes to assessment and intervention.

The central governance task is to ensure that gaps between these responsibilities do not become invisible.

A useful smart-care assurance model should be able to answer questions such as:

• Is the technology addressing a clearly identified care or independence outcome?
• Can the person use it, and has its impact on privacy and autonomy been considered?
• Are workers and family caregivers clear about their roles?
• Does information reach the people who need it without unnecessary access?
• Are technical faults, abandoned devices and adverse events visible?
• Can evidence from repeated problems change purchasing, service design or policy?

These are not arguments against innovation. They are the conditions that allow innovation to become dependable infrastructure.

The strongest opportunity is connected support, not simply connected devices

Taiwan’s technological capability creates a natural temptation to focus on devices. Long-term care requires a wider perspective.

A smart bed is useful because of what it enables for the person and workforce. A sensor has value because an appropriate response follows. A digital record matters because relevant information reaches the right professional. An algorithm is useful only if it improves a decision without obscuring accountability.

The unit of innovation should therefore increasingly be the care pathway rather than the product.

This means designing technology around interactions between people, services and organisations. It also means considering what happens before and after the digital intervention.

A remote assessment still needs a referral route. An alert still needs a responder. An assistive device still needs reassessment. A digital care plan still needs workers who understand it. Data still need interpretation.

For Taiwan, this pathway perspective fits naturally with LTC 3.0’s wider direction. Smart care is one of eight major areas within a reform programme that also emphasises medical and long-term care integration, active reablement, community support, residential quality, family support, end-of-life care and workforce development.

Technology is therefore most valuable when it strengthens those objectives rather than developing as a parallel system.

International learning from Taiwan’s emerging smart-care model

Taiwan’s approach is shaped by its own Long-Term Care Services Act, tax-supported LTC framework, National Health Insurance system, local administrative arrangements, technology sector and family-care traditions. Other countries cannot simply replicate the institutional model.

The emerging experience nevertheless offers several transferable principles.

First, public technology policy can move beyond one-off equipment purchase. Rental can create a closer relationship between public expenditure and changing functional need, although it also requires strong supplier and maintenance arrangements.

Second, smart care works best when introduced as part of care reform rather than as an isolated digital programme. Taiwan has placed technology within a wider LTC 3.0 architecture concerned with ageing in place, reablement, integration and workforce sustainability.

Third, product approval is only one layer of assurance. Safe technology can still be badly implemented. Systems need evidence about usability, workflow, response, privacy and outcomes.

Fourth, technology should increase the capability of people and workers rather than simply transferring responsibility from formal services to families.

Finally, digital maturity is not measured by the amount of technology in use. It is demonstrated by whether technology can be introduced, reviewed, changed and, where necessary, withdrawn according to evidence.

The transferable lesson lies less in any particular device than in building a governance environment capable of learning from technology at the same speed as technology develops.

Conclusion

Technology is moving into the centre of Taiwan’s long-term care strategy. Under LTC 3.0, smart assistive devices, rental arrangements and greater technological adoption across home, day and residential care create new possibilities for independence, rehabilitation, family support and workforce sustainability. They also create new responsibilities.

The decisive question is not whether Taiwan can introduce more technology. Its technology base makes continued innovation highly plausible. The more important question is whether technological capability can be translated into reliable, person-centred care infrastructure.

That requires assessment before deployment, training alongside equipment, clear response pathways behind monitoring, interoperability where information needs to cross organisational boundaries and strong protection for privacy and autonomy. It also requires evidence capable of distinguishing genuine improvement from simple adoption.

As demographic pressures increase, technology can help Taiwan use human capacity more effectively, but it cannot remove the relational character of long-term care. Workers will still exercise judgement. Families will still need support. People will still have different preferences about independence, privacy and risk. Communities will still require physical services.

The strongest future direction is therefore not automated care but connected support: technology integrated with people, professional practice, service capacity and accountable governance. If Taiwan can maintain that distinction as smart care expands, innovation can become more than an answer to workforce and demographic pressure. It can become part of a long-term care system that adapts more intelligently to the changing lives of the people it exists to support.