Digital Health and Social Care in Lithuania: Building Connected and Accessible Services

An older Lithuanian leaving hospital may have an electronic prescription, clinical information held within national health infrastructure and a growing range of digital ways to interact with healthcare. Yet the support required after discharge may also involve a municipality, social worker, home-care service, family member or long-term-care team operating through different administrative processes. Digitalisation has solved part of the information problem. It has not automatically connected the whole person's journey.

This distinction is increasingly important for Lithuania. The country has established significant e-health capability and participates in the European development of cross-border digital health services, while demographic ageing, workforce constraints and reforms to long-term and community care are creating greater demand for coordination across organisational boundaries. The wider system context is explored throughout the Lithuania Ageing, Long-Term Care & Community Support Knowledge Hub.

The next stage of digital transformation is therefore less about whether Lithuania has electronic systems and more about what those systems enable. Can information follow a person between settings? Can professionals see what they genuinely need without creating inappropriate access to sensitive data? Can older and disabled people use digital channels without losing non-digital routes? Can municipalities turn service information into better planning? Can technology reduce administrative workload rather than transferring it from one screen to another?

These are operational questions as much as technical ones. Connected care requires infrastructure, interoperability and cybersecurity, but also governance, workforce competence, accessible design and clear responsibility when digital information reveals that someone's needs are changing.

Lithuania already has an important digital health foundation

Lithuania's digital-health development starts from a stronger position than a system attempting to move directly from paper records to integrated digital care. The national Electronic Health Services and Cooperation Infrastructure Information System, commonly associated with the eSveikata environment, provides an established platform for electronic health information and services.

Electronic prescriptions are an especially visible part of this infrastructure. Digital records can also support access to information generated through healthcare encounters, helping reduce reliance on paper documents and making selected information available across participating healthcare organisations.

This matters because healthcare fragmentation is not only an organisational problem. It is an information problem. A family doctor, hospital specialist, pharmacy and nursing service can make safer decisions when relevant information is available, current and understandable.

Lithuania also participates in the wider European movement towards cross-border electronic health exchange. MyHealth@EU is progressively enabling services such as electronic prescriptions and patient summaries between participating EU countries. The European Health Data Space will extend the regulatory and technical direction further over the coming years.

These developments make digital records and information governance strategically important. A digital record is not valuable simply because information is electronic. Its value depends on accuracy, availability, security and whether the right professional can use it at the point of decision.

Digital health and digital social care are not the same transformation

Lithuania's health and social-care responsibilities remain structurally different. Healthcare is substantially financed through compulsory health insurance administered by the National Health Insurance Fund, with the Ministry of Health responsible for national health policy. Social services sit principally within the policy responsibility of the Ministry of Social Security and Labour and are organised extensively through municipalities.

Digitalisation therefore takes place across systems with different purposes, legal responsibilities, funding mechanisms and information requirements.

A hospital record may contain diagnoses, medication, tests and treatment. A municipal social-service assessment may need to understand whether the person can prepare food, maintain personal hygiene, move around the home, participate in the community or rely safely on family support. A disability assessment may consider participation and individual assistance needs. A home-support organisation may require still more practical information about everyday routines.

Combining every piece of information into one unrestricted record would neither be necessary nor appropriate.

The objective should instead be purposeful interoperability between systems: ensuring that information needed for legitimate coordination can move securely and consistently while responsibilities for access, accuracy and confidentiality remain clear.

This distinction becomes particularly important as Lithuania develops more integrated long-term care. Organisational integration without information integration can leave professionals coordinating through telephone calls, repeated assessments and manually transferred documents. Digital integration without operational redesign can simply reproduce fragmented processes electronically.

Scenario: digital discharge information does not by itself create continuity

An 82-year-old woman in Kaunas is admitted to hospital after pneumonia. She has diabetes, reduced mobility and had already been receiving some municipal help at home. During admission, her medication changes and staff identify that she will need substantially more assistance immediately after discharge.

Her healthcare information is recorded electronically. The clinical part of the transition is therefore more visible than it would have been in a paper-only system.

The operational challenge lies outside the hospital record. Her municipality needs enough information to reconsider social-support needs. The organisation providing help at home needs to understand the changed practical situation. Her family needs clarity about what formal support will begin and what remains their responsibility. If home nursing is required, clinical and social activity must be coordinated rather than scheduled independently around the same person.

A connected pathway does not require every participant to see the woman's complete medical history. It requires the right information to trigger the right action.

Her changed mobility, discharge date, medication implications and immediate support requirements need to reach the relevant services in time for arrangements to change before she arrives home. Responsibility for following up the referral also needs to be visible.

The scenario illustrates a central digital-care principle: information exchange should be designed around decisions and transitions, not around the assumption that greater quantities of shared data automatically create integration.

Interoperability is organisational before it becomes technical

Technical standards matter. Systems need compatible structures, reliable identifiers, agreed terminology and secure interfaces. Yet many interoperability failures begin before software is involved.

Organisations may define the same concept differently. A hospital may consider someone clinically ready for discharge while a municipality still needs to assess whether adequate support can be organised at home. A social worker may identify a change in functional ability without a direct workflow for alerting healthcare professionals. Different systems may record the same information at different times for different purposes.

Effective interoperability therefore requires agreement about:

• which information needs to move between services and why;
• who is responsible for creating and updating it;
• which events should trigger referral, review or escalation;
• who may access different categories of information;
• how corrections and conflicting records are managed; and
• how organisations know that information sent electronically has resulted in action.

Only then can technology automate a coherent pathway.

This is particularly relevant to Lithuania because national digital health capability operates alongside decentralised municipal social-service responsibilities. National infrastructure can establish standards and shared capabilities, but local implementation still determines whether information supports continuity in practice.

Organisations examining comparable transformation programmes can use the Digital Transformation Readiness Assessment to structure consideration of strategy, infrastructure, workforce, information governance and implementation readiness. It is not a Lithuanian regulatory framework; its relevance is in preventing digital programmes from being treated solely as technology procurement.

Long-term care creates a particularly demanding information challenge

Long-term care rarely consists of a single intervention. An older person may simultaneously receive family support, municipal home help, outpatient nursing, rehabilitation, medication management and specialist healthcare.

Lithuania's continuing development of integrated long-term care therefore increases the importance of information architecture.

A connected model needs more than a shared demographic record. Professionals need an appropriate view of changing needs, planned interventions, responsibilities and significant risks. Someone also needs to recognise when apparently separate changes form a pattern.

Repeated falls, declining appetite, missed appointments and increasing home-help requirements may be recorded by different services. Individually, each can appear manageable. Together, they may indicate deteriorating health or declining ability to live safely without additional support.

Digital systems can help identify these patterns, but only if information is structured well enough to be interpreted and there is an agreed response when concern emerges.

Technology therefore does not remove professional judgement. It can make relevant evidence available sooner so that judgement can be exercised more effectively.

Digital inclusion determines who benefits from digitalisation

Lithuania's digital capability exists within a population that is ageing rapidly. This creates an important design challenge. The people most likely to benefit from better-connected health and long-term-care systems may also include those who face the greatest barriers to using digital services independently.

Age alone does not determine digital ability. Many older Lithuanians use smartphones, online banking and public digital services confidently. Others may lack devices, reliable connectivity, confidence or accessible interfaces. Cognitive impairment, visual loss, reduced dexterity and limited digital literacy can make seemingly simple digital processes difficult.

The same issue applies to disabled people. Technology can remove barriers when it is accessible, but poorly designed authentication, inaccessible documents or interfaces that do not work with assistive technology can create new exclusion.

This makes digital inclusion a service-quality issue rather than merely a technology-policy concern.

A digital-first system should not become digital-only by default. People may need alternatives including telephone, face-to-face support or an authorised person helping them access information. The design question is not whether citizens should become digital enough for the system. It is whether the system can provide digital efficiency without making access conditional on digital competence.

Scenario: the portal works, but the person cannot use it

A 78-year-old man living alone in a smaller Lithuanian municipality receives most healthcare through his family doctor and local services. His daughter lives in Vilnius and helps him organise appointments and understand medical information.

More information becomes available electronically, but the man does not own a computer and finds smartphone authentication difficult. His hearing impairment also makes telephone conversations challenging.

From a system perspective, the information is digitally accessible. From his perspective, it is not.

A person-centred response avoids labelling him as resistant to technology. Staff identify what he can manage independently, what information he wants his daughter to help with and what consent or authorised-access arrangements are appropriate. Important communications remain available through an accessible alternative where necessary.

If digital transformation is measured only by portal registration or electronic transactions, the system may record success while the man experiences greater dependence.

A better outcome measure asks whether he can obtain, understand and act on the information needed to manage his health.

This distinction will become increasingly important as more care processes move online. Digital inclusion is achieved not when everyone uses the same channel, but when technology expands rather than narrows practical access.

Social-care digitalisation needs to support municipal decision-making

Digital social care has another purpose beyond individual records: it can improve understanding of local demand.

Municipalities organise substantial parts of Lithuania's social-service system. They need to know not only who currently receives services but what demand is emerging, where capacity is constrained and which forms of support are producing useful outcomes.

Administrative systems can show volumes. More mature information systems can help reveal patterns.

For example, a municipality might examine whether applications for home support are increasing faster in particular areas, whether waiting periods differ between services, whether people repeatedly move into higher-intensity support shortly after an initial assessment, or whether workforce shortages are preventing authorised services from actually being delivered.

This moves digitalisation into data quality and performance intelligence.

The distinction between authorised and delivered support is especially important. A database may show that someone is eligible for a service. That does not prove that sufficient workforce capacity exists to provide it consistently.

National policy also benefits from comparable municipal information. Persistent differences may identify legitimate demographic variation, but they may also expose unequal access, different assessment practice or local capacity problems.

Digital systems make such variation easier to see. Governance determines whether anyone acts on it.

Better data do not automatically produce better decisions

Care organisations frequently collect large volumes of information because individual transactions generate records automatically. This can create an illusion of evidence maturity.

Useful intelligence depends on data being accurate, timely and connected to decisions.

A municipality could record thousands of social-service contacts without knowing whether people's independence improved. A provider could capture visit completion without understanding continuity between workers. A healthcare organisation could record readmissions without linking them to problems in post-discharge support.

Digital transformation therefore needs an outcome architecture as well as an information architecture.

For Lithuania's ageing and long-term-care system, useful indicators may combine service access with evidence about continuity, changing dependency, avoidable transitions, family-carer pressure and people's ability to remain in their preferred living environment.

Not every indicator needs to be national. Frontline teams require operational information; municipalities require population and capacity intelligence; ministries need enough comparable evidence to understand system performance.

Organisations exploring how to convert operational information into structured oversight can use the Quality Dashboard Builder as a practical framework for bringing different evidence streams together. Its value in an international context is methodological rather than regulatory: dashboards are useful only when the measures chosen illuminate decisions that leaders can influence.

Digital skills are now part of care-workforce capability

Lithuania already faces significant health and care workforce pressures, including uneven geographic distribution and projected shortages in important professional groups. Digital technology is frequently presented as part of the productivity response.

That potential is real but conditional.

A nurse using reliable shared information may spend less time reconstructing medication histories. A social worker receiving relevant information electronically may avoid duplicating part of an assessment. Remote consultation can extend specialist reach. Automated workflows can reduce manual administrative handling.

Poor systems can produce the opposite result. Staff may enter the same information repeatedly, switch between incompatible applications, correct unreliable data or spend care time resolving technical problems.

Digital productivity therefore depends partly on workforce digital skills and adoption.

Training cannot be confined to teaching which buttons to press. Workers need to understand information quality, confidentiality, digital communication, cybersecurity and what to do when technology produces information that conflicts with professional observation.

Managers also need digital competence. They must distinguish a technology problem from a workflow problem and understand when automation is improving productivity rather than merely moving work elsewhere.

Scenario: a mobile care team gains technology but initially loses time

A municipality introduces a digital recording system for workers providing support in people's homes. The intended benefits are strong: less paper, faster updates, better management visibility and more current information for colleagues.

During the first weeks, staff report that visits are taking longer. Some workers complete electronic records during the visit; others write notes first and enter them later. Mobile connectivity is unreliable in several rural locations. Staff use different descriptions for similar events, making trend analysis difficult.

The municipality could interpret this as workforce resistance and insist on greater compliance.

Instead, implementation data are reviewed with workers. The recording workflow is simplified, unnecessary fields are removed, terminology is clarified and an offline process is introduced where connectivity is poor. Training focuses on why particular information matters rather than merely how to complete the form.

Several months later, supervisors can identify changes in need earlier because records are more consistent and accessible.

The scenario illustrates why digital transformation requires operational learning. Technology rarely arrives in a mature state simply because software has been purchased. Workflows, data definitions and staff practice need to evolve together.

Cybersecurity and privacy become more important as connectivity increases

Greater interoperability creates value because information can move. It also increases the consequences of weak information security.

Health and social-care information can include diagnoses, disability, medication, mental-health information, financial circumstances, living arrangements and details of family relationships. These data require careful protection.

Cybersecurity therefore belongs within care continuity and governance, not only within an information-technology department.

A significant digital outage can prevent access to records, disrupt prescriptions, delay referrals or remove information that staff have come to rely upon. Organisations need contingency arrangements that allow essential services to continue when digital infrastructure is unavailable.

Privacy also needs to be designed into interoperability. The fact that information can technically be shared does not mean every professional should see everything. Access should reflect legitimate roles and purposes.

Citizens also need understandable information about how their data are used. Trust becomes particularly important as European rules expand both primary use of electronic health information for care and regulated secondary use for research, innovation and policymaking.

The European Health Data Space changes the longer-term context

The European Health Data Space Regulation entered into force in March 2025, beginning a phased implementation period rather than creating an immediate fully operational system.

Its significance for Lithuania is substantial because it establishes a common European direction for access, interoperability and use of electronic health data.

Key requirements will apply progressively. From 2029, important provisions concerning patient summaries and electronic prescriptions are scheduled to apply across EU Member States, alongside major elements of the framework for secondary use of health data. Further priority categories, including laboratory results, medical imaging and hospital discharge reports, follow later in the implementation timetable.

Lithuania is therefore not digitalising in isolation. National systems increasingly need to operate within European technical, semantic and governance requirements.

This can strengthen domestic interoperability as well as cross-border exchange. Standards developed so that information can be understood across European systems can also encourage more consistent national information structures.

However, the European Health Data Space should not be interpreted as a solution to every domestic integration problem. Social-care information does not map automatically onto healthcare data architecture, and municipal coordination still requires national and local design decisions.

Person-centred technology should increase control rather than surveillance

Digital transformation is often discussed from the perspective of organisations: efficiency, interoperability, capacity and data. For the person receiving support, the relevant question is different. Does technology make everyday life easier or more controllable?

This is where person-centred digital enablement becomes important.

Remote monitoring, sensors, medication reminders, accessible communication technology and other digital tools can support independence. Their value is likely to grow as Lithuania seeks to support more older and disabled people within their own homes and communities.

Yet the same technology can become intrusive if deployed primarily to reduce organisational anxiety or staffing demand.

A sensor that alerts someone to a genuine safety risk may enable greater independence. Continuous monitoring introduced without meaningful discussion can reduce privacy. A video consultation may save a rural resident a long journey, but it is a poor substitute where physical examination is necessary or the person cannot communicate effectively through the technology.

Person-centred deployment therefore needs to consider benefit, consent, accessibility, proportionality and alternatives.

Technology should support the person's chosen way of living rather than gradually redesigning daily life around what is easiest to monitor.

Scenario: remote support extends specialist reach in rural Lithuania

An older woman in a rural area develops a complex wound alongside diabetes and reduced mobility. Local staff can provide routine support, but specialist expertise is concentrated further away.

Without digital support, each specialist review could require significant travel or create delays between changes in the wound and clinical advice.

A digitally enabled pathway allows appropriate information to be shared and some specialist reviews to take place remotely with a local professional present. Changes can be escalated earlier, while face-to-face specialist assessment remains available where clinically necessary.

The model does not replace the local workforce. In fact, it depends on that workforce. Someone must assess the woman, use the technology, recognise deterioration and implement the agreed care.

The digital element changes where expertise needs to be physically located for every interaction.

This distinction is important for Lithuania's geographic workforce challenges. Remote care can extend specialist reach, but it cannot compensate for the absence of basic local capacity. Technology is most effective when it strengthens a functioning local pathway rather than being expected to substitute for one.

Artificial intelligence creates opportunities but should follow data maturity

Artificial intelligence is likely to become increasingly relevant to healthcare and long-term care, but its role in Lithuania should be considered proportionately.

Potential applications include administrative automation, clinical decision support, demand forecasting, documentation support and identifying patterns within large datasets. These uses could reduce some administrative burden and strengthen earlier intervention.

They also magnify existing weaknesses.

An algorithm trained or operated on incomplete data can produce misleading outputs more quickly than a manual system. Automated risk scores can create false confidence if professionals do not understand their limitations. AI-generated documentation may save time while introducing inaccuracies that become part of the formal record.

The immediate strategic priority is therefore not to automate everything that can technically be automated. It is to establish high-quality information, clear governance and digitally capable workforces on which more advanced applications can safely build.

Lithuania's relatively mature digital-health foundation provides opportunities, but health and social-care AI should remain connected to demonstrable service problems rather than technology enthusiasm.

Governance must connect national infrastructure with local experience

Digital care operates across multiple levels of accountability. National authorities shape policy, standards and major infrastructure. Healthcare organisations and municipalities implement systems within their responsibilities. Providers control important aspects of local records, workforce practice and service delivery. Citizens experience the combined result.

Good governance needs information to travel back up this structure.

If municipalities repeatedly encounter difficulty exchanging information with healthcare providers, that should inform wider interoperability design. If staff routinely create workarounds because a national process does not fit operational practice, those workarounds are governance intelligence. If older people abandon a digital service at the same point in a process, accessibility should be reviewed.

The Governance Maturity Assessment offers organisations examining similar transformation questions a way to structure oversight of accountability, risk, evidence and improvement. It does not assess compliance with Lithuanian digital-health requirements, but the underlying discipline is relevant: digital transformation needs identifiable ownership and decision-making rather than being delegated indefinitely to technology teams.

Governance should also distinguish implementation from adoption. A system can be technically live while staff continue using parallel manual processes or citizens struggle to access it. Usage data, user feedback, workflow performance and outcomes are therefore as important as deployment milestones.

Connected digital care requires a stronger common operating picture

The longer-term opportunity for Lithuania lies in developing a more coherent view of people moving through health, social and long-term-care systems without attempting to erase legitimate organisational boundaries.

That common operating picture should help answer practical questions.

Who is currently involved in the person's care? What important change has occurred? Which organisation is expected to respond? Has that response happened? Are needs increasing? Is the person repeatedly moving between hospital and home? Is a family carer absorbing support that formal services have not provided?

Digital systems are well suited to making such information visible if data governance allows it and workflows have been designed accordingly.

This becomes especially important as Lithuania's population ages. A smaller working-age population will need to support growing numbers of older people with multiple conditions and combinations of health and social needs. Avoidable duplication will become increasingly difficult to sustain.

Digitalisation cannot solve the demographic equation, but it can reduce some of the friction surrounding it.

Better information can help scarce professionals spend less time reconstructing what other services already know. Better demand data can help municipalities anticipate capacity requirements. Remote access can reduce some unnecessary travel. Automation can remove selected administrative tasks.

The productivity gain comes from redesigning work around information, not merely replacing paper with screens.

What Lithuania's experience can offer internationally

Lithuania's digital trajectory reflects particular national conditions: a relatively small population, established national e-health infrastructure, municipal responsibility for significant social services and membership of a European Union increasingly standardising health-data exchange. Those institutions cannot simply be transferred to other countries.

Several underlying lessons are more widely relevant.

First, national digital infrastructure can create a powerful foundation, but integration becomes harder as the pathway extends beyond healthcare into social support, housing, family care and community services.

Second, interoperability is not synonymous with creating one enormous database. Strong systems identify which information needs to move, for what purpose and with what accountability.

Third, digital maturity should be measured through operational outcomes. Electronic transactions, portal registrations and system uptime matter, but so do reduced duplication, faster transitions, improved continuity and people's ability to access their own care.

Fourth, workforce capability remains fundamental. Technology can extend professional reach and remove administrative work, but poorly designed systems can consume scarce workforce capacity instead.

Finally, digital inclusion must remain part of service design. The people with the greatest need for health and social support should not become the group least able to navigate increasingly digital pathways.

The next phase is digital integration around the person

Lithuania's future digital-care agenda is likely to be shaped by several developments occurring simultaneously: continued health-system modernisation, integrated long-term-care reform, European Health Data Space implementation, population ageing and pressure on health and care workforces.

The strongest opportunity is to connect these agendas rather than treating each as a separate digital programme.

That means building interoperability around actual care journeys, strengthening the information available to municipalities, making digital systems accessible to people with different capabilities and ensuring workforce redesign accompanies new technology.

It also means retaining disciplined expectations. Not every care problem needs a digital solution. Some require additional workforce, housing, transport, funding or human relationships. Technology should make those constraints more visible rather than disguise them.

Over time, Lithuania can increasingly use digital information to move from retrospective administration towards anticipation: identifying changing demand, emerging workforce gaps and people whose patterns of service use suggest that support should be reviewed earlier.

The quality of that transition will depend on data quality and governance. Predictive capability built on fragmented or biased information merely creates more sophisticated uncertainty.

Conclusion

Lithuania has already moved well beyond the starting question of whether healthcare should become digital. National e-health infrastructure, electronic prescriptions and wider European data exchange provide an important foundation, while continuing reforms are creating stronger reasons for information to connect healthcare with long-term care, municipal social services and community support.

The central strategic challenge is now integration around the person. Digital records need to support decisions rather than simply preserve transactions. Interoperability needs to connect legitimate responsibilities without dissolving privacy boundaries. Municipalities need information that reveals demand and capacity, while frontline professionals need systems that reduce rather than increase administrative burden. Older and disabled people need digital access that expands choice without making essential services dependent on digital confidence.

European Health Data Space implementation will strengthen the technical and regulatory environment for electronic health information, but Lithuania's domestic care integration will still depend on national and municipal choices about workflows, accountability, workforce and social-care information.

The strongest digital system will therefore not necessarily be the one collecting the most data. It will be the one that enables a clinician, social worker, care worker, municipality and citizen to act on the right information at the right point while preserving security, dignity and human judgement. For Lithuania, that is the transition from digital infrastructure to genuinely connected care.