Finnish Journal of eHealth and eWelfare (FinJeHeW) is a scientific journal maintained by the Finnish Social and Health Informatics Association (FinnSHIA) and the Finnish Society of Telemedicine and eHealth (FSTeH). ISSN 1798-0798
Finnish Social and Health Informatics Association
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Technological maturity model for digital decision support systems in mental healthcare:
Mental disorders are among the leading causes of disability worldwide, creating an increasing demand for timely and effective mental healthcare. Digital decision support systems (DDSS) have emerged as promising tools for enhancing the assessment and treatment navigation of mental disorders. This review examines the international development and maturity levels of DDSS in mental healthcare. The objective is to identify recent systems, analyze their key features, and propose a technological maturity model for these systems, while comparing them to the Finnish Therapy Navigator (FTN) services. The study used a scoping review methodology to map the existing literature and identify relevant DDSS. The review was conducted in accordance with the PRISMA extension for scoping reviews (PRISMA-ScR) guidelines. A framework for a technological maturity model was developed through a thematic analysis of findings based on the prevalence, complexity, and clinical utility of system features, comparing functional features across systems to identify emerging patterns in technological sophistication. A total of 35 studies on adult DDSS and 38 studies on adolescent DDSS met the inclusion criteria, of which 10 distinct DDSS were identified for adults and 9 for adolescents, with one system designed for both groups. The most prevalent features included multi-disorder screening (100%), summary report generation (100%), and contextual factor mapping (65%). Less common but potentially more advanced features included automated treatment recommendations (35%), response-based therapeutic content (20%), and AI-driven capabilities such as chatbot with natural language processing and probabilistic reasoning (5%). Based on the prevalence and perceived clinical utility of these features, we propose a three-tiered technological maturity model to classify DDSS for mental healthcare assessment and treatment navigation: 1) structured data collection, 2) rule-based decision support, and 3) intelligent and adaptive decision support. FTN services fall within the first maturity level, as they primarily facilitate structured assessments without automated treatment recommendations. The proposed model highlights the transition from passive tools to interactive systems and to intelligent and adaptive platforms. The development of mental healthcare DDSS is still in its early stages, with significant potential for future advancements.
Copyright (c) 2025 Finnish Journal of eHealth and eWelfare https://creativecommons.org/licenses/by/4.0
Person-Centered Data Model in social and health care customer management: Creating value through the Quintuple Aim
In Finland, social and health care information management has been harmonized over the past ten years, especially with the development of recording patient and client information. However, the client and patient information systems in use by the organizations do not sufficiently support the information needs of customer management or guide individual but consistent client and patient processes. This case study examined customer management and value creation using the Person-Centered Data Model (PCDM) developed in the Finnish wellbeing services county of Kanta-Häme. The aim of the research was to understand the usability of a data-based customer management model and to identify the factors affecting value creation. In this study, customer management includes both the utilization of available information, and the practices used to identify customers’ service needs and organize services suitable for them. The research findings are based on semi-structured expert interviews conducted in the case organization, documents from the case organization, and a survey administered to the interviewees. The interviewees were gathered with snowball sampling in such a way that the interviewees suggested other interviewees who were experts in the subject area. The interview data was analyzed using theory-driven content analysis and the survey data was examined using the means (M) and standard deviations (SD) of the responses. This study found that a model based on PCDM is central to the organization’s information management and customer management. The model collects the information needed to provide the services and connects it to the individual customer, supporting customer management in the customer relationship management system (CRM). The CRM system uses PCDM and works to support professionals, improving customer experience and the allocation of resources. This study identified factors both promoting and hindering value creation. Promoting factors were, for example, the importance of strategy and available information, while hindering factors were, for example, operational models and lack of data. PCDM can support effective social and health care in accordance with the Quintuple Aim principles.
Rapid digital health technology implementation during a health care crisis – a cross-sectional mixed methods survey of nurses’ experiences
Successful implementation of digital health technologies (DHT) into nursing is a multifaceted process, requiring careful consideration of individual, organisational and external factors. Building digital literacy in the nursing workforce is key in successful DHT implementation, but little is known about how the need to expedite the digital health transformation during a health care crisis affects DHT implementation in nursing. The aim of this cross-sectional mixed methods study was to explore nurses’ experiences of the implementation and use of DHTs to support care during the COVID-19 pandemic in Finland. A previously developed survey was translated into Finnish and distributed via professional and social media networks of the researchers using the snowball technique. The data analysis included descriptive statistics, inductive qualitative content analysis and thematic categorisation. 55 participants including registered nurses and nurse managers responded to the survey. The respondents were asked to describe the implementation of up to three DHTs, resulting in 84 individual DHT descriptions. These included DHTs to promote communication between the service user and the professional, professional communication, patient monitoring, documentation, medication administration and nursing management. Four approaches to support nursing professionals through digital health transformation were identified: 1) promoting the usability of DHTs, 2) enhancing patient care through DHTs, 3) providing comprehensive digital skill training and 4) fostering motivation to DHT use. The participants expressed mainly positive attitudes and experiences regarding DHT implementation, but the results indicate that nursing-specific needs have not adequately been addressed in their development and implementation, calling for better nurse involvement in interdisciplinary DHT development initiatives. Enhancing digital literacy throughout all levels of nursing as well as the strategies to successfully guide expedited implementation of DHTs during future crises are needed to support the provision of safe and high-quality care. Strategies to strengthen the organisational and digital infrastructure to support and motivate nurse engagement in DHT development can improve their usability, acceptability, and outcomes.
Lectio praecursoria, Ikääntyneet sähköisten sosiaali- ja terveyspalveluiden käyttäjinä
ikääntyneet, tietotekniikka, sähköiset palvelut, digitalisaatio, digitaaliset palvelut, teknologia, pitkäaikaissairaus, terveydenhuolto, sosiaalihuolto, terveysteknologia, sähköisen terveystiedon lukutaito
Homecare, emergency medical team and emergency department professionals´ perspectives on patient safety in health information exchange:
Health information exchange plays a critical role in modern healthcare delivery, especially in complex inter-organizational care pathways. This study describes healthcare professionals’ perspectives on patient safety in health information exchange, with a focus on associated socio-technical factors. In 2023, semi-structured interviews were conducted with 21 healthcare professionals from home care, the emergency department, and an emergency medical team in one wellbeing services county in Finland, using a modified socio-technical model. Data were analyzed through content analysis, revealing 31 generic categories and 79 subcategories aligned with the model’s eight dimensions. Findings emphasize the crucial role of organizational factors, including insufficient information infrastructure, lack of unified systems, and poor integration. Additionally, user-centered design and support during health information exchange development and health information technology procurement are lacking. Inter-organizational collaboration is inconsistent, and safety monitoring remains inadequate.
Organizational motivations for joining the national healthcare and social welfare AI innovation ecosystem
Innovation ecosystems are recognized as significant actors in promoting the adoption of digital innovations, such as artificial intelligence (AI). This study examines the organizational motivations for participating in Finland's government-led AI innovation ecosystem for healthcare and social welfare, which was established by the Ministry of Social Affairs and Health in 2024. The research addresses two questions: (RQ1) What motivates organizations to join a government-led healthcare and social welfare AI innovation ecosystem, and what are the key mechanisms behind joining? and (RQ2) How do different types of organizations perceive and seek value within this ecosystem? Employing a theoretical framework that combines innovation systems theory and ecosystem theory, this study analyzes data from ecosystem member organizations (N=166) collected via an online questionnaire during the ecosystem's initial four months, from June to September 2024. Five key interconnected mechanisms driving participation were identified: (1) knowledge synergy, (2) resource allocation, (3) legitimacy enhancement, (4) regulatory influence, and (5) societal impact. These mechanisms interact in systemic ways, with each supporting and reinforcing others when present, while their absence can constrain ecosystem engagement. Private companies focus on market opportunities, public organizations prioritize organizational improvements and efficiency, and research institutions emphasize knowledge development alongside practical applications. The research contributes to the theoretical understanding of government-led innovation ecosystems, particularly for advancing AI development in public healthcare and social welfare, and offers insights for designing and managing such initiatives.
Understanding the intertwined dynamics between digitalization, homelessness and social marginalization – An integrative literature review
The digital age offers significant benefits such as enhanced connectivity and improved access to information, but it also presents challenges for vulnerable populations, such as people experiencing homelessness and social marginalization. This integrative literature review explores the intertwined dynamics between digitalization, homelessness, and social marginalization, with the aim to understand how digitalization of society can, both facilitate social inclusion and well-being, and simultaneously reinforce exclusion among individuals facing housing insecurity and societal marginalization. The review is based on 28 peer- reviewed articles published in English between 2014 and 2024, retrieved from four databases (Google Scholar, SAMK-Finna, PubMed, Scopus). The findings reveal that people experiencing homelessness encounter substantial digital barriers, including (1) physical and technical barriers, (2) barriers in digital service system, (3) security, trust and privacy barriers and (4) socio-economic gaps and social marginalization. Despite these challenges, digital tools also provide opportunities for (5) better access to health care and services, (6) enhance social connections and empowerment and (7) digital inclusion and access to information. While some of these main categories may appear self-evident, our nuanced synthesis of the existing research underscores their complex interconnectedness and draws attention to less-explored dimensions. These include challenges related to digital identification, the significance of service content design and representation, issues of trust and psychological barriers, as well as the potential for enhanced continuity and engagement in digital services, and various dimensions of empowerment. Despite these challenges, digital tools also provide opportunities for accessing critical services, enhancing personal agency, fostering social connectedness and supporting self-management and control over one´s own life. Furthermore, digital services support managing and having control over their own lives.
Kohti yhtenäistä ja laadukasta tutkimus- ja julkaisukulttuuria
Leading digital transformation in elderly care – experiences of front-line managers
The purpose of this study is to describe and understand the experiences of front-line managers in elderly care as regards digital change processes and the leadership skills required of them, as well as the perceived need for leadership support. The study is positioned at the interface between scientific discussions on human resource management and change process management. It focuses on the discussion related to the increasing digitalisation practices of healthcare work communities from the perspective of front-line managers in elderly care. The context of the study is leadership in change processes according to Weicks’ Critical Sensemaking Model. The data for this qualitative study were collected through thematic interviews with front-line managers in elderly care (N = 14) in healthcare and social welfare organisations and were analysed using theory-bound content analysis. In leading the collaborative digital change process, the features of the Critical Sensemaking Model are combined with the interactional, cultural, environmental, change and human resource management and digital competence development factors of the front-line manager’s work community. The implementation of the digital change process requires knowledge of a sense of community on the part of the front-line manager's leadership, which manifests itself in different ways as communal learning, competence, leadership support, implementation of cultural change needs, dynamics of digital change, responding to the requirements of the operating environment and maintaining readiness for change. The dynamics of the digital change process include the management of the functional aspects of change management, emotions and attitudes in human resource management, and the development of change expertise over time. In the social learning of the work community, interaction between front-line managers and employees is emphasized. The Critical Sensemaking Model can promote the development of cultural change in leadership and work communities. It helps to form a mutual understanding of the needs of the organisation's management and work communities for positive change, learning and sharing of competence, as well as following the clues and development trends of internal and external working environment. Therefore, maintaining the readiness for changes of the digital working methods requires identifying and managing sensible events in past, present, and future.
Palliatiiviset potilaat ja ennakoivat hoitosuunnitelmat erikoissairaanhoidon päivystyksessä
The purpose of this study is to generate new information about patients in palliative care and ACPs. The aim of this study is to increase understanding of the use of registry data in monitoring specialized health care emergency visits and ACP. A data-based cross-sectional descriptive study design study was conducted in a Finnish well-being region in emergency department. Data were retrospectively collected from the region’s reporting system between 01/2018-08/2023. The data included patient demographics, diagnoses coded under ICD-10 Z51.5 (palliative care), modes of arrival at the ED, reasons for visits, and the existence of ACPs using the procedure code WPA10. Data was analyzed using descriptive analysis method. Between 01/2018-08/2023, a total of 178,619 patients visited the specialized emergency services in the health region, with 292,093 visits recorded. During the study period, 161 palliative patients visited the ED 177 times. The median age of these patients was 75 years. Over half of the patients arrived by ambulance. The most common primary diagnoses for palliative patients were cancer-related (C-diagnoses), and circulatory system diseases (I-diagnoses). The most common reasons for emergency visits among palliative patients included general weakness (A04) and shortness of breath (R02), with 103 visits lacking a recorded reason. Regarding advanced care planning (WPA10 code), 180 individuals had both a Z51.5 diagnosis and an advanced care plan during the study period. Of these, approximately 21% visited the emergency department. This study emphasizes the importance of timely ACP documentation to potentially reduce unnecessary ED visits and improve patient-centered care. Despite an increase in documented ACPs, many palliative patients still visited the ED, indicating a need for further development in implementing effective palliative care strategies. Future research should focus on the long-term effects of ACP documentation on patient outcomes and ED utilization. The systematic documentation and utilization of ACPs are crucial in managing palliative patients' care and reducing their reliance on emergency services. This study underscores the need for continued efforts to enhance the implementation of ACPs in clinical practice.
Exploring barriers to digitalized wellbeing services for children and families in Finland - a qualitative study from a leadership perspective
Digital health services have the potential to improve healthcare quality and patient safety within the wellbeing sector, but their adoption has many barriers. The aim of this study was to explore barriers to digitalized wellbeing services for children and families in Finland from healthcare leaders' views. Seven leaders from the Finnish wellbeing sector participated in the study. The data were thematically analyzed using an inductive approach. The results revealed two themes: internal and external barriers to digitalization within the healthcare context. Internal barriers encompassed four subthemes: operational differences and diversity in interactions, organizational changes and resource constraints, lack of digital competence and training, and insufficient coordination and unclear responsibilities. External barriers were identified as challenges related to technology development, challenges with laws and regulations, lack of updated education and research, and challenges related to citizens. By addressing these obstacles, healthcare leaders can enhance their capacity to drive digital transformation and improve access and equity within digital wellbeing services for children and families.
Lectio praecursoria, Digitaalinen osaaminen terveysalan opettajilla Euroopassa – suosituksia terveyspedagogiseen koulutukseen ja tutkimukseen
Kuntoutuksen ammattilaisten näkemyksiä tekoälyn hyödyntämisestä työssään
The integration of artificial intelligence (AI) into rehabilitation services is becoming increasingly emphasized as part of the digital transformation of the social and healthcare services. AI offers opportunities for more personalized care, more efficient allocation of resources, and the analysis of data to support decision-making. However, successful implementation requires structural reforms, the development of staff competencies, and careful consideration of ethical and data security issues. The aim of this qualitative study was to explore rehabilitation professionals’ perspectives on the potential use of AI in future rehabilitation work. Data were collected through a voluntary survey conducted in March–April 2025. The target group consisted of rehabilitation professionals whose email addresses were available through eight professional associations in the field. The cross-sectional dataset was limited to responses to an open-ended question regarding the potential uses of AI (n = 146; N = 432). Respondents included physiotherapists (n = 43), occupational therapists (n = 45), and other rehabilitation professionals (n = 58), such as speech therapists and rehabilitation counsellors, all of whom held a university of applied sciences degree. The data were analyzed using inductive content analysis, conducted in overlapping phases. AI was seen as potentially useful in various stages of the rehabilitation process, including client guidance, needs assessment, planning, and the customization and delivery of rehabilitation exercises. Additionally, AI was expected to support client work by assisting professionals with documentation, information retrieval, and data structuring. Some respondents indicated that they were not familiar enough with AI to assess its benefits. Concerns were raised about data security and ethical implications. While some professionals considered AI unsuitable for client work, others expressed interest and reported experimenting with its use. Respondents hoped that AI could integrate fragmented data from various sources and present it in a structured manner. They also saw significant potential for AI in managing time and resources. Although there is interest in adopting AI, its effective use requires clear guidelines, training, and trust in the systems.
Aspects associated with health care professionals’ digital health competence development – a qualitative study
Health care professionals need continuous education to maintain the competencies required to provide high-quality care; in today’s world, this means an understanding of digital health services. Insight into health care professionals’ experiences of which aspects influence their digital health competence development is therefore highly relevant. The objective of the study was to examine which aspects influence the digital health competence development of health care professionals (nursing workforce and allied health professionals). In-depth, semi-structured interviews were conducted with 20 health care professionals (Finland n=15, Sweden n=5) from various health care settings between May 2019 and July 2020. Interviews were audio-recorded, translated verbatim and analysed with inductive content analysis. Health care professionals perceive that digital health competence development is influenced by aspects related to digital health adoption, co-workers and the work community, their manager, and opportunities for continuous education and orientation. The participants agreed that digital health competence is an important part of a health care professional’s overall clinical competence. Continuous education geared towards digital health competence should be systematically designed, and potentially integrate the resources available on social media platforms. Additionally, managers and supervisors should take a stronger stance towards learning about digital health services so they can serve as role models to their employees and genuinely promote digital health competence development.
Copyright (c) 2022 Finnish Journal of eHealth and eWelfare http://creativecommons.org/licenses/by-nc-nd/4.0
Kirjoituskutsu: SoTeTiTe-tutkimuspäivät 21.4.2026 Helsingissä
Osaaminen, teknologia ja yhteistyö: avaimet tulevaisuuden sote-palveluihin
Finnish Journal of eHealth And eWelfare -lehti hakee päätoimittajaa ja varapäätoimittajaa kaudelle 2026–2028
Uudistuva tieto – kehittyvät teknologiat
Organization of remote home care and employee job satisfaction and workload
The purpose of the study was to describe and compare the job satisfaction of employees working in centralised and decentralised remote home care, satisfaction with the inclusion of remote home care in home care, and experiences of the effects of remote home care on workload. The research was carried out as an e-mail survey in April-September 2022 from employees of five home care organizations implementing remote home care (n=103). Employees of both centralised (n=15) and decentralised (n=28) remote home care were mostly satisfied with their work. However, the satisfaction of the employees of the centralised remote home care was better than the employees of the decentralised remote home care (p < 0.05) and they were clearly more satisfied with the inclusion of remote home care as part of the home care services (p < 0.001). Employees of centralised remote home care felt that remote home care had reduced the workload in all its aspects more than employees of the decentralised remote home care (p < 0.05 – p < 0.001). Qualitative data supported quantitative results. The results suggest that centrally organized remote home care can reduce the workload experienced by employees, including rush, which can have an impact on employees’ well-being at work. The research results can be utilized when remote home care is likely to expand further in the future and work organization methods are planned.
Professionals – developers of digital social and health care
Lectio praecursoria, Rintasyövän arviointi mammografia-aineistosta lääketieteellisen kuva-analyysin ja laskennan avulla
Skilled knowledge formation and innovative technologies in social and health care – a socio-technical systems perspective
Advancing information management in social and health care requires theoretical frameworks that integrate the examination of technology, expertise, and organizational context. This article explores the utilization of innovative technologies, such as artificial intelligence, in social and health care information management from the perspective of socio-technical systems theory. In socio-technical systems theory, the social and technical elements of an organization form a unified systemic whole, where knowledge formation is based on both technology and human expertise. In a sociotechnical system knowledge formation extends beyond the technical collection and management of information; it also involves the meaningful interpretation and utilization of information through collaboration between people and technology. Consequently, technology supports professionals' critical evaluation and decision-making without mechanically directing their actions. The exchange of information among different professional groups and interdisciplinary collaboration enable the structured formation of shared interpretations, thereby supporting high-quality and client-centered service delivery. Ethical and transparent knowledge formation, on the other hand, requires acknowledging clients' experiences and reinforcing their participation. User-centered and agile design ensures the practical functionality of technology. Effective knowledge formation necessitates a shift in thinking, where professionals are not viewed as machine-like components serving technology but as skilled experts whose human capabilities and professional competence are strategically utilized. Applying socio-technical systems theory to information management in social and health care integrates the potential of technology, human expertise, and organizational culture into flexible, ethical, and client-oriented decision-making. This represents a dynamic and multidimensional process in which technology, professional competence, and client participation form a cohesive whole that supports the objectives of the service system and well-being of the professionals.
Kohti parempaa käyttäjäkokemusta: pre- ja kotidialyysihoidon sähköisten ratkaisujen käyttäjäkeskeinen suunnittelu
Terveydenhuollon sähköisiä palveluita suunniteltaessa haasteena on huomioida palvelujen käytettävyyden ja käyttäjäkokemuksen suunnittelussa sekä ammattilaiset että potilaat. Tässä hanke-esittelyssä kuvataan "Käyttäjäkeskeinen suunnittelu ja potilaskokemus" -tutkimushanke, jossa tavoitteena on selvittää, miten sähköisten palvelujen avulla voidaan parantaa kotidialyysipotilaiden potilaskokemuksia ja helpottaa heitä hoitavien ammattilaisten työtä hoidon eri vaiheissa. Tutkimuksessa keskitytään palvelujen käytettävyyteen ja käyttäjäkokemukseen. Tutkimus on osa laajempaa Suomen Akatemian rahoittamaa ”Parempaa hoitoa kotona – optimoitu ihmiskeskeinen predialyysi- ja kotidialyysihoito” -hanketta (2022-2026), joka on jatkoa aiemmalle eCare4Me-projektille. Tutkimus sisältää kolme työpakettia ja tutkimuksessa hyödynnetään potilaskokemusten tutkimiseen, sähköisten palveluiden käytettävyyden arviointiin ja yhteissuunnittelun soveltuvia käyttäjäkeskeisen suunnittelun menetelmiä. Tavoitteena on kehittää uusia menetelmiä sähköisen palvelukokonaisuuden kuvaamiseen suunnittelutyön tueksi, sekä kuvata suunnitteluohjeita sähköisten terveyspalvelujen suunnitteluun ja suosituksia kotidialyysihoitoa tukevien palvelujen räätälöimiseksi eri käyttäjäryhmien tarpeisiin.
Harmonised standards to the AI Act – for medical devices, too
The European Union artificial intelligence act (AI Act) establishes the rules for the application of artificial intelligence (AI) systems within the European Union. The AI Act is to be complemented with the harmonised standards that provide the presumption of conformity to the AI Act if implemented fully in the organisation that provides the AI system. The joint technical committee 21 (JTC 21) of CEN and CENELEC has been assigned the responsibility to prepare these standards. Work is under way to develop standards for AI risk management, AI cybersecurity, AI quality management, Quality and governance of datasets in AI, AI trustworthiness framework and AI conformity assessment. As medical devices incorporating an AI component are also within scope of the AI Act, these standards apply to medical devices, too. For this reason, medical device experts need to contribute to the AI standardisation work so that the resulting standards will be feasible in the health sector. The challenge in the work is to make several standards good and compatible with each other in the presence of a plurality of opinions and a hurry to produce the standards in time.
Safety of the use of digital services and technology - Project description
Due to rapid technological advances, digital technology and services have changed the way that health care consumers and providers communicate and receive and deliver care. Further, they play a significant role in ensuring the quality and accessibility of social and health care services. Digital technology and services in social and healthcare context cover various methods, such as telemedicine and eHealth interventions, mobile health applications and remote monitoring devices. However, their implementation and use also presents unexpected challenges and risks that need to be identified to ensure proper implementation of client and patient safety and to eliminate avoidable harm. As safety in social and healthcare context is the product of many interrelated parts that change over time, efforts to improve safety should be targeted to evolve and identify emerging and unexpected challenges and risks. By analyzing the incident reports, it is possible to identify underlying factors and generate actionable knowledge to mitigate risks. Further, the data they provide enable researchers to categorize, and analyze it for quality improvement, care enhancement and development of patient safety supportive practices in a timely manner. Therefore, it is essential to utilize the information produced by incident reports of digital technology and services to identify the risks and preventive measures related to them.
Quality of recording has an impact on the quality and safety of care
Nursing documentation is an essential part of nursing and necessary to ensure safe and high-quality care. It ensures that patient care information is up-to-date and accessible to all members of the healthcare team, guaranteeing continuity of care. The information produced in patient records about events during patient care serves as legal documents that protect both patients and healthcare staff. Additionally, documentation allows for monitoring the patient's condition and the progress of care, helping to make informed care decisions and improve the quality of care and patient safety. The national nursing documentation model consists of key structured nursing data elements (nursing diagnosis, interventions and outcomes, nursing care intensity, and nursing summary), the nursing process, and the Finnish Care Classification (FinCC). By documenting nursing according to the national nursing documentation model, the legal requirement for planning, implementing, monitoring, and evaluating patient care, as well as providing a nursing summary, is fulfilled. The entries must indicate how the care was carried out, whether anything special occurred during the care, and what care-related decisions were made during it. At the same time, information is produced about the content of nursing in operational units, which also describes the competence requirements, training needs, and provides feedback on the performance of nursing staff in clinical nursing. Structured data and consistent terms bring structure and clarity to documentation and support the secondary use of information to enhance organizational efficiency and decision-making, including in management, research, and education. However, it has been noted nationally that social and healthcare information is not optimally utilized for prevention, improving care quality, or achieving cost-effectiveness and impact. The maintenance and development of FinCC is the responsibility of the Department of Health and Social Management at the University of Eastern Finland, under the name Nursing Terminology Project. According to the cooperation agreement, the Finnish Institute for Health and Welfare is responsible for publishing the FinCC classification system for national use. The FinCC expert group continuously works on development.
Documentation, Nursing, Electronic health records, (Health) Information system, Informatics, Terminology as Topic