Health Care Provider Adoption of eHealth: Systematic Literature Review

User experience analysis of an eHealth system for tuberculosis in resource-constrained settings: A nine-country comparison

BACKGROUND

e-TB Manager, a web-based eHealth system has been successfully institutionalized in 10 resource-constrained countries that account for one-third of the world's tuberculosis (TB) burden, but user experience has never been evaluated.

METHODS

A cross-sectional, anonymous survey in eight unique languages based on the targeted countries. e-TB Manager users included nurses, doctors, pharmacists, statisticians/data officers, laboratory professionals/assistants, health workers, and administrators.

RESULTS

With an 86.3% completion rate for all required questions, 1,511 completed responses were analyzed. Users had worked in TB programs for a median of five years and had used e-TB Manager for a median of two years. Overall, 60.2% of respondents were female, 65% were clustered in the age groups of 30-39 and 40-49 years old, and nearly half (49%) were using e-TB Manager at the district and sub-district levels of a country's health system. Older respondents aged over 50, regardless of location and with at least 6 or more years of experience in public-sector TB programs, had higher mean satisfaction scores than did their younger counterparts. Overall, those who had used e-TB Manager for more than two years had significantly higher mean scores for the majority of the survey statements than did those who had used e-TB Manager for less than two years. Ukraine had significantly higher mean scores for finding patient information available in e-TB Manager and in its benefit in improving patient care compared to Brazil, Armenia, Nigeria, and Indonesia. Brazil and Ukraine differed significantly from five other countries in that they did not need additional training, thereby demonstrating their institutional capacity after more than five years of using e-TB Manager.

CONCLUSION

Although users gave high ratings to e-TB Manager in terms of helping to improve patient care, found it to be reliable, and were generally satisfied, there is need for a combination of refresher training and e-learning methodologies to keep pace with programmatic changes.

Ready for eHealth? Health Professionals' Acceptance and Adoption of eHealth Interventions in Inpatient Routine Care

eHealth interventions can be effective in treating health problems. However, adoption in inpatient routine care seems limited. The present study therefore aimed to investigate barriers and facilitators to acceptance of eHealth interventions and of online aftercare in particular in health professionals of inpatient treatment. A total of 152 out of 287 health professionals of various professional groups in four inpatient rehabilitation facilities filled out a self-administered web-based questionnaire (response rate: 53%); 128 individuals were eligible for further data analysis. Acceptance and possible predictors were investigated with a complex research model based on the Unified Theory of Acceptance and Use of Technology. Acceptance of eHealth interventions was rather low (M = 2.47, SD = 0.98); however, acceptance of online aftercare was moderate (M = 3.08, SD = 0.96, t(127) = 8.22, p < .001), and eHealth literacy was elevated. Social influence, performance expectancy, and treatment-related internet and mobile use significantly predicted overall acceptance. No differences were found between professional and age groups. Although acceptance of eHealth interventions was limited in health professionals of inpatient treatment, moderate acceptance of online aftercare for work-related stress implies a basis for future implementation. Tailored eHealth education addressing misconceptions about inferiority and incongruity with conventional treatment considering the systemic aspect of acceptance formation are needed.

Current Views and Perspectives on E-Mental Health: An Exploratory Survey Study for Understanding Public Attitudes Toward Internet-Based Psychotherapy in Germany

BACKGROUND

Despite the advanced development of evidence-based psychological treatment services, help-seeking persons with mental health problems often fail to receive appropriate professional help. Internet-delivered psychotherapy has thus been suggested as an efficient strategy to overcome barriers to access mental health care on a large scale. However, previous research indicated poor public acceptability as an issue for the dissemination of Internet-delivered therapies. Currently, little is known about the expectations and attitudes toward Internet-delivered therapies in the general population. This is especially the case for countries such as Germany where electronic mental health (e-mental health) treatment services are planned to be implemented in routine care.

OBJECTIVE

This pilot study aimed to determine the expectations and attitudes toward Internet-based psychotherapy in the general population in Germany. Furthermore, it aimed to explore the associations between attitudes toward Internet-based therapies and perceived stress.

METHODS

To assess public attitudes toward Internet-based psychotherapy, we conducted both Web-based and paper-and-pencil surveys using a self-developed 14-item questionnaire (Cronbach alpha=.89). Psychological distress was measured by employing a visual analogue scale (VAS) and the 20-item German version of the Perceived Stress Questionnaire (PSQ). In addition, we conducted explorative factor analysis (principal axis factor analysis with promax rotation). Spearman's rank correlations were used to determine the associations between attitudes toward Internet-based therapies and perceived stress.

RESULTS

Descriptive analyses revealed that most respondents (N=1558; female: 78.95%, 1230/1558) indicated being not aware of the existence of Internet-delivered therapies (83.46%, 1141/1367). The average age was 32 years (standard deviation, SD 10.9; range 16-76). Through exploratory factor analysis, we identified 3 dimensions of public attitudes toward Internet-based therapies, which we labeled "usefulness or helpfulness," "relative advantage or comparability," and "accessibility or access to health care." Analyses revealed negative views about Internet-based therapies on most domains, such as perceived helpfulness. The study findings further indicated ambivalent attitudes: Although most respondents agreed to statements on expected improvements in health care (eg, expanded access), we observed low intentions to future use of Internet-delivered therapies in case of mental health problems.

CONCLUSIONS

This pilot study showed deficient "e-awareness" and rather negative or ambivalent attitudes toward Internet-delivered therapies in the German-speaking general population. However, research targeting determinants of the large-scale adoption of Internet-based psychotherapy is still in its infancy. Thus, further research is required to explore the "black box" of public attitudes toward Internet-delivered therapies with representative samples, validated measures, and longitudinal survey designs.

Nurses' experiences of the use of an Internet-based support system for adolescents with depressive disorders

BACKGROUND

Internet-based applications are potentially useful and effective interventions to reach and support adolescents with mental health problems. Adolescents' commitment to the use of a new Internet-based intervention is closely related to the support they receive from healthcare professionals. This study describes nurses' experiences of the use of an Internet-based support system for adolescents with depressive disorders.

METHOD

Qualitative descriptive study design including individual interviews with nine nurses at two psychiatric outpatient clinics. The Technology Acceptance Model (TAM) was used as the theoretical background of the study.

RESULTS

Nurses described several benefits of using the Internet-based support system in the care of adolescents with depressive disorders if the nurses integrate it into daily nursing practices. As perceived disadvantages the nurses thought that an adolescent's mental status might be a barrier to working with the support system. Perceived enablers could be organizational support, nurses' attitudes, and technology-related factors. Nurses' attitudes were identified as a barrier to supporting adolescents' use of the Internet-based support system.

CONCLUSION

The findings suggest that the implementation plan and support from the organization, including that from nurse managers, are crucial in the process of implementing a technology-based support system.

Drivers and Barriers to Acceptance of Web-Based Aftercare of Patients in Inpatient Routine Care: A Cross-Sectional Survey

Background

Web-based aftercare can help to stabilize treatment effects and support transition after inpatient treatment, yet uptake by patients seems limited in routine care and little is known about the mechanisms of adoption and implementation.

Objective

The aim of this study was to (1) determine acceptance of Web-based aftercare and (2) explore its drivers and barriers in different subgroups of a mixed inpatient sample.

Method

In a cross-sectional design, 38.3% (374/977) of the inpatients from a broad spectrum of diagnostic groups (psychosomatic, cardiologic, orthopedic, pediatric, and substance-related disorders) filled out a self-administered questionnaire prior to discharge. Drivers and barriers to patients’ acceptance of Web-based aftercare were examined based on an extension to the “unified theory of acceptance and use of technology” (UTAUT). In total, 16.7% (59/353) of the participants indicated prior use of eHealth interventions.

Results

Acceptance (min 1, max 5) was low (mean 2.56, SD 1.22) and differed between diagnostic groups (Welch F_4,133.10 =7.77, P<.001), with highest acceptance in adolescent patients (mean 3.46, SD 1.42). Acceptance was significantly predicted by 3 UTAUT predictors: social influence (beta=.39, P<.001), performance expectancy (beta=.31, P<.001), and effort expectancy (beta=.22, P<.001). Furthermore, stress due to permanent availability (beta=−.09, P=.01) was negatively associated with acceptance.

Conclusion

This study demonstrated a limited acceptance of Web-based aftercare in inpatients. Expectations, social environment’s attitude, and negative experience with permanent availability influence eHealth acceptance. Improving implementation, therefore, means increasing eHealth experience and literacy and facilitating positive attitudes in patients and health professionals through education and reduction of misconceptions about effectiveness or usability.

Understanding the perception towards using mHealth applications in practice

The objective of this study was to investigate physicians’ perceptions to use mobile health applications in practice, and to identify influencing factors to use the technology. An mHealth technology acceptance model was proposed (M-TAM), and a cross-sectional survey was implemented using structured questionnaire to collect data. Online tools were used for inviting participants (physicians) and data collection from Turkey. The data was analyzed using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). A total of 128 physicians participated in the survey. The model explained the perception of physicians towards mHealth application use by 51% of total variance. The influential factors were identified as Effort Expectancy, Mobile Anxiety, Perceived Service Availability and Technical Training and Support. The study provided a new model to the literature of health information technology. Findings of the research contributed by unveiling latent constructs and their influence on physicians’ perceptions towards a new healthcare technology: mHealth applications.

Readiness of healthcare providers for eHealth: the case from primary healthcare centers in Lebanon

Background

eHealth can positively impact the efficiency and quality of healthcare services. Its potential benefits extend to the patient, healthcare provider, and organization. Primary healthcare (PHC) settings may particularly benefit from eHealth. In these settings, healthcare provider readiness is key to successful eHealth implementation. Accordingly, it is necessary to explore the potential readiness of providers to use eHealth tools. Therefore, the purpose of this study was to assess the readiness of healthcare providers working in PHC centers in Lebanon to use eHealth tools.

Methods

A self-administered questionnaire was used to assess participants’ socio-demographics, computer use, literacy, and access, and participants’ readiness for eHealth implementation (appropriateness, management support, change efficacy, personal beneficence). The study included primary healthcare providers (physicians, nurses, other providers) working in 22 PHC centers distributed across Lebanon. Descriptive and bivariate analyses (ANOVA, independent t-test, Kruskal Wallis, Tamhane’s T2) were used to compare participant characteristics to the level of readiness for the implementation of eHealth.

Results

Of the 541 questionnaires, 213 were completed (response rate: 39.4 %). The majority of participants were physicians (46.9 %), and nurses (26.8 %). Most physicians (54.0 %), nurses (61.4 %), and other providers (50.9 %) felt comfortable using computers, and had access to computers at their PHC center (physicians: 77.0 %, nurses: 87.7 %, others: 92.5 %). Frequency of computer use varied. The study found a significant difference for personal beneficence, management support, and change efficacy among different healthcare providers, and relative to participants’ level of comfort using computers. There was a significant difference by level of comfort using computers and appropriateness. A significant difference was also found between those with access to computers in relation to personal beneficence and change efficacy; and between frequency of computer use and change efficacy.

Conclusion

The implementation of eHealth cannot be achieved without the readiness of healthcare providers. This study demonstrates that the majority of healthcare providers at PHC centers across Lebanon are ready for eHealth implementation. The findings of this study can be considered by decision makers to enhance and scale-up the use of eHealth in PHC centers nationally. Efforts should be directed towards capacity building for healthcare providers.

Recent Worldwide Developments in eHealth and mHealth to more Effectively Manage Cancer and other Chronic Diseases - A Systematic Review

OBJECTIVES

This paper is a systematic literature review intended to gain an understanding of the most original, excellent, stateof- the-art research in the application of eHealth (including mHealth) in the management of chronic diseases with a focus on cancer over the past two years.

METHOD

This review looks at peer-reviewed papers published between 2013 and 2015 and examines the background and trends in this area. It systematically searched peer-reviewed journals in databases PubMed, Proquest, Cochrane Library, Elsevier, Sage and the Institute of Electrical and Electronic Engineers (IEEE Digital Library) using a set of pre-defined keywords. It then employed an iterative process to filter out less relevant publications.

RESULTS

From an initial search return of 1,519,682 results returned, twenty nine of the most relevant peer reviewed articles were identified as most relevant.

CONCLUSIONS

Based on the results we conclude that innovative eHealth and its subset mHealth initiatives are rapidly emerging as an important means of managing cancer and other chronic diseases. The adoption is following different paths in the developed and developing worlds. Besides governance and regulatory issues, barriers still exist around information management, interoperability and integration. These include medical records available online information for clinicians and consumers on cancer and other chronic diseases, mobile app bundles that can help manage co-morbidities and the capacity of supporting communication technologies.

A literature review for large-scale health information system project planning, implementation and evaluation

Information technology is perceived as a potential panacea for healthcare organisations to manage pressure to improve services in the face of increased demand. However, the implementation and evaluation of health information systems (HIS) is plagued with problems and implementation shortcomings and failures are rife. HIS implementation is complex and relies on organisational, structural, technological, and human factors to be successful. It also requires reflective, nuanced, multidimensional evaluation to provide ongoing feedback to ensure success. This article provides a comprehensive review of the literature about evaluating and implementing HIS, detailing the challenges and recommendations for both evaluators and healthcare organisations. The factors that inhibit or promote successful HIS implementation are identified and effective evaluation strategies are described with the goal of informing teams evaluating complex HIS.

Digital health for the End TB Strategy: developing priority products and making them work

In 2014, the World Health Organization (WHO) developed the End TB Strategy in response to a World Health Assembly Resolution requesting Member States to end the worldwide epidemic of tuberculosis (TB) by 2035. For the strategy's objectives to be realised, the next 20 years will need novel solutions to address the challenges posed by TB to health professionals, and to affected people and communities. Information and communication technology presents opportunities for innovative approaches to support TB efforts in patient care, surveillance, programme management and electronic learning. The effective application of digital health products at a large scale and their continued development need the engagement of TB patients and their caregivers, innovators, funders, policy-makers, advocacy groups, and affected communities.In April 2015, WHO established its Global Task Force on Digital Health for TB to advocate and support the development of digital health innovations in global efforts to improve TB care and prevention. We outline the group's approach to stewarding this process in alignment with the three pillars of the End TB Strategy. The supplementary material of this article includes target product profiles, as developed by early 2016, defining nine priority digital health concepts and products that are strategically positioned to enhance TB action at the country level.

Guided online self-management interventions in primary care: a survey on use, facilitators, and barriers

Background

Guided online psychological self-management interventions offer broad prospects for the treatment of people with mild to moderate mental health problems, but implementation is challenging. The aims of this study are (1) to gain insight into use of and intention to use these interventions among primary care health professionals, (2) to determine the main barriers to use such interventions among non-users.

Methods

An online survey based on the Unified Theory of Acceptance and Use of Technology (UTAUT) was disseminated among mental health counsellors (MHCs; in Dutch POHs) in GP practices and primary care psychologists (PCP) in mental health care practices. The survey covered the current use of online interventions, the intention to use these in the future, and an operationalization of the UTAUT concepts: performance expectancy, effort expectancy, social influence, and facilitating conditions.

Results

In total, 481 MHCs and 290 PCPs responded (24 %). Of them, 49 % of MHCs and 21 % of PCPs currently use online interventions in their treatments. A further 40 % of MHCs and 27 % of PCPs plan to introduce such interventions within the next year. Both groups were moderately positive about the presence of eHealth facilitators in their daily practice. Among current non-users, performance expectancy and facilitating conditions were significant predictors of usage intention in both groups of health professionals.

Conclusions

Use of and intention to use online interventions is relatively high in Dutch primary care. Non-users, particularly, experience several barriers which need attention to enhance implementation. There is a need for further efforts regarding facilitation of and education on eHealth, as well as for research directed to its normalization in daily practice.

Electronic supplementary material

The online version of this article (doi:10.1186/s12875-016-0424-0) contains supplementary material, which is available to authorized users.

Undirected health IT implementation in ambulatory care favors paper-based workarounds and limits health data exchange

BACKGROUND

The adoption and use of health information technology (IT) continues to grow around the globe. In Switzerland, the government nor professional associations have to this day provided incentives for health IT adoption.

OBJECTIVE

We aim to assess the proportion of physicians who are routinely working with electronic health data and describe to what extent physicians exchange electronic health data with peers and other health care providers. Additionally, we aim to estimate the effect of physicians' attitude towards health IT on the adoption of electronic workflows.

METHODS

Between May and July 2013, we conducted a cross-sectional survey of 1200 practice based physicians in Switzerland. Respondents were asked to report on their technical means and where applicable their paper-based workarounds to process laboratory data, examination results, referral letters and physician's letters. Physicians' view of barriers and facilitators towards health IT use was determined by a composite score.

RESULTS

A response rate of 57.1% (n=685) was reached. The sample was considered to be representative for physicians in Swiss ambulatory care. 35.2% of the respondents documented patients' health status with the help of a longitudinal semi-structured electronic text record generated by one or more encounters in the practice. Depending on the task within a workflow, around 11-46% of the respondents stated to rely on electronic workflow practices to process laboratory and examination data and dispatch referral notes and physician's letters. The permanent use of electronic workflow processes was infrequent. Instead, respondents reported paper-based workarounds affecting specific tasks within a workflow. Physicians' attitude towards health IT was significantly associated with the adoption of electronic workflows (OR 1.04-1.31, p<0.05), but the effect sizes of factors related to the working environment (e.g., regional factors, medical specialty, type of practice) were larger.

CONCLUSION

At present, only a few physicians in Swiss ambulatory care routinely work with electronic health data. Until more of their peers participate in electronic exchange of structured clinical information, most physicians will continue to stay in paper-based systems and workarounds. The survey found that physicians with a positive attitude towards health IT were more likely to adopt electronic workflows, but the impact is minor. It will likely be necessary to introduce financial incentives and develop national standards in order to promote the adoption by a critical mass of practicing clinicians.

What Are Complex eHealth Innovations and How Do You Measure Them? Position Paper

OBJECTIVES

eHealth and innovation are often regarded as synonyms - not least because eHealth technologies and applications are new to their users. This position paper challenges this view and aims at exploring the nature of eHealth innovation against the background of common definitions of innovation and facts from the biomedical and health informatics literature. A good understanding of what constitutes innovative eHealth developments allows the degree of innovation to be measured and interpreted.

METHODS

To this end, relevant biomedical and health informatics literature was searched mainly in Medline and ACM digital library. This paper presents seven facts about implementing and applying new eHealth developments hereby drawing on the experience published in the literature.

RESULTS

The facts are: 1. eHealth innovation is relative. 2. Advanced clinical practice is the yardstick. 3. Only used and usable eHealth technology can give birth to eHealth innovatio. 4. One new single eHealth function does not make a complex eHealth innovation. 5. eHealth innovation is more evolution than revolution. 6. eHealth innovation is often triggered behind the scenes; and 7. There is no eHealth innovation without sociocultural change.

CONCLUSIONS

The main conclusion of the seven facts is that eHealth innovations have many ingredients: newness, availability, advanced clinical practice with proven outcomes, use and usability, the supporting environment, other context factors and the stakeholder perspectives. Measuring eHealth innovation is thus a complex matter. To this end we propose the development of a composite score that expresses comprehensively the nature of eHealth innovation and that breaks down its complexity into the three dimensions: i) eHealth adoption, ii) partnership with advanced clinical practice, and iii) use and usability of eHealth. In order to better understand the momentum and mechanisms behind eHealth innovation the fourth dimension, iv) eHealth supporting services and means, needs to be studied. Conceptualising appropriate measurement instruments also requires eHealth innovation to be distinguished from eHealth sophistication, performance and quality, although innovation is intertwined with these concepts. The demanding effort for defining eHealth innovation and measuring it properly seem worthwhile and promise advances in creating better systems. This paper thus intends to stimulate the necessary discussion.

Treatment of Infantile Hemangioma in Regional Hospitals With eHealth Support: Evaluation of Feasibility and Acceptance by Parents and Doctors

Background

Since beta blockers became the preferred treatment for infantile hemangiomas (IH), the number of patients eligible for treatment is increasing. Currently treatment of IH with beta blockers is mainly reserved for expert centers, where wait times are lengthening. This demonstrated the need for development of a more efficient and accessible way of providing care for children needing treatment for IH. An eHealth intervention, Hemangioma Treatment Plan (HTP), was developed to treat IH in regional hospitals with online support from an academic doctor.

Objective

Our goal was to evaluate the feasibility of the eHealth intervention by determining its use, acceptance, and usability. By evaluating the feasibility, usage can be predicted and points for improvement can be defined, thereby facilitating implementation of the intervention.

Methods

Parents of children with an IH, presenting between October 2012 and November 2013 at the tertiary expert Center for Congenital Vascular Anomalies Utrecht, requiring treatment with a beta blocker, were asked to participate in the digital HTP. Both parents and regional doctors were sent a study questionnaire. Acceptance and usability of the HTP were evaluated by using the modified Technology Acceptance Model.

Results

A total of 31 parents and 22 regional doctors participated in the eHealth intervention and received the questionnaire, and 25 parents and 15 doctors responded (response rates respectively 81% and 68%). A majority of the parents (96%, 24/25) and the regional doctors (87%, 13/15) considered the eHealth intervention useful in the care for IH. Most parents (76%, 19/25) and over half of the regional doctors (53%, 8/15) found the HTP easy to use. Technical problems using the HTP were reported by 28% (7/25) of the parents and 73% (11/15) of the doctors. The majority of parents (92%, 23/25) felt positive about usage of the HTP during treatment of their child. All regional doctors (100%, 15/15) felt positive about transition of treatment from the tertiary expert center to them, and 93% (14/15) felt positive about using the HTP.

Conclusions

Our eHealth intervention shows good feasibility, especially among parents. Improvement with respect to technical problems, training of regional doctors, and achieving organizational support might be needed for successful implementation in the future.

Supporting health care professionals to improve the processes of shared decision making and self-management in a web-based intervention: randomized controlled trial

BACKGROUND

Research to assess the effect of interventions to improve the processes of shared decision making and self-management directed at health care professionals is limited. Using the protocol of Intervention Mapping, a Web-based intervention directed at health care professionals was developed to complement and optimize health services in patient-centered care.

OBJECTIVE

The objective of the Web-based intervention was to increase health care professionals' intention and encouraging behavior toward patient self-management, following cardiovascular risk management guidelines.

METHODS

A randomized controlled trial was used to assess the effect of a theory-based intervention, using a pre-test and post-test design. The intervention website consisted of a module to help improve professionals' behavior, a module to increase patients' intention and risk-reduction behavior toward cardiovascular risk, and a parallel module with a support system for the health care professionals. Health care professionals (n=69) were recruited online and randomly allocated to the intervention group (n=26) or (waiting list) control group (n=43), and invited their patients to participate. The outcome was improved professional behavior toward health education, and was self-assessed through questionnaires based on the Theory of Planned Behavior. Social-cognitive determinants, intention and behavior were measured pre-intervention and at 1-year follow-up.

RESULTS

The module to improve professionals' behavior was used by 45% (19/42) of the health care professionals in the intervention group. The module to support the health professional in encouraging behavior toward patients was used by 48% (20/42). The module to improve patients' risk-reduction behavior was provided to 44% (24/54) of patients. In 1 of every 5 patients, the guideline for cardiovascular risk management was used. The Web-based intervention was poorly used. In the intervention group, no differences in social-cognitive determinants, intention and behavior were found for health care professionals, compared with the control group. We narrowed the intervention group and no significant differences were found in intention and behavior, except for barriers. Results showed a significant overall difference in barriers between the intervention and the control group (F1=4.128, P=.02).

CONCLUSIONS

The intervention was used by less than half of the participants and did not improve health care professionals' and patients' cardiovascular risk-reduction behavior. The website was not used intensively because of time and organizational constraints. Professionals in the intervention group experienced higher levels of barriers to encouraging patients, than professionals in the control group. No improvements were detected in the processes of shared decision making and patient self-management. Although participant education level was relatively high and the intervention was pre-tested, it is possible that the way the information was presented could be the reason for low participation and high dropout. Further research embedded in professionals' regular consultations with patients is required with specific emphasis on the processes of dissemination and implementation of innovations in patient-centered care.

TRIAL REGISTRATION

Netherlands Trial Register Number (NTR): NTR2584; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2584 (Archived by WebCite at http://www.webcitation.org/6STirC66r).

A self-learning nurse call system

The complexity of continuous care settings has increased due to an ageing population, a dwindling number of caregivers and increasing costs. Electronic healthcare (eHealth) solutions are often introduced to deal with these issues. This technological equipment further increases the complexity of healthcare as the caregivers are responsible for integrating and configuring these solutions to their needs. Small differences in user requirements often occur between various environments where the services are deployed. It is difficult to capture these nuances at development time. Consequently, the services are not tuned towards the users' needs. This paper describes our experiences with extending an eHealth application with self-learning components such that it can automatically adjust its parameters at run-time to the users' needs and preferences. These components gather information about the usage of the application. This collected information is processed by data mining techniques to learn the parameter values for the application. Each discovered parameter is associated with a probability, which expresses its reliability. Unreliable values are filtered. The remaining parameters and their reliability are integrated into the application. The eHealth application is the ontology-based Nurse Call System (oNCS), which assesses the priority of a call based on the current context and assigns the most appropriate caregiver to a call. Decision trees and Bayesian networks are used to learn and adjust the parameters of the oNCS. For a realistic dataset of 1050 instances, correct parameter values are discovered very efficiently as the components require at most 100ms execution time and 20MB memory.