eHealth Indicators Research Articles

The Quality of E-Health: First Steps on How to Implement and Evaluate Digitalization in Health

E-Health is a new modern way to offer better services in health care system worldwide. Many countries have developed during the last years specific tools to implement digital in health care system. In this paper, we focus on the e-Health indicators used across the world in order to select the ones who may be used in future research. The study is longitudinal and uses data with no limit in time and space, observational with the focus on the existing reports, studies. Most of the data gathered is qualitative, the information was processed and interpreted. Each country followed specific rul es in order to create the framework for e-Health. There is a need for digital health services in all countries and to create new pathways to offer better services for those who needed. In the paper below we analyzed a number of 26 sources, in order to describe the process of implementing a program in health system such as electronic health records, to find quality indicators for e-Health in order to evaluate it and the dimension of digital information in medical system.

National Development and Regional Differences in eHealth Maturity in Finnish Public Health Care: Survey Study.

BackgroundeHealth increasingly affects the delivery of health care around the world and the quest for more efficient health systems. In Finland, the development of eHealth maturity has been systematically studied since 2003, through surveys conducted every 3 years. It has also been monitored in several international studies. The indicators used in these studies examined the availability of the electronic patient record, picture archiving and communication system, health information exchange, and other key eHealth functionalities.ObjectiveThe first aim is to study the national development in the maturity level of eHealth in primary health care and specialized care between 2011 and 2020 in Finland. The second aim is to clarify the regional differences in the maturity level of eHealth among Finnish hospital districts in 2020.MethodsData for this study were collected in 2011, 2014, 2017, and 2020, using web-based questionnaires from the Use of information and communication technology surveys in Finnish health care project. In total, 16 indicators were selected to describe the status of eHealth, and they were based on international eHealth studies and Finnish eHealth surveys in 3 areas: applications, regional integration, and data security and information and communications technology skills. The indicators remain the same in all the study years; therefore, the results are comparable.ResultsAll the specialized care organizations (21/21, 100%) in 2011, 2014, 2017, and 2020 participated in the study. The response rate among primary health care organizations was 86.3% (139/161) in 2011, 88.2% (135/153) in 2014, 85.8% (121/141) in 2017, and 95.6% (130/136) in 2020. At the national level, the biggest developments in eHealth maturity occurred between 2011 and 2014. The development has since continued, and some indicators have been saturated. Primary health care lags behind specialized care organizations, as measured by all the indicators and throughout the period under review. Regionally, there are differences among different types of organizations.ConclusionseHealth maturity has steadily progressed in Finland nationally, and its implementation has also been promoted through various national strategies and legislative changes. Some eHealth indicators have already been saturated and achieved an intensity of use rate of 100%. However, the scope for development remains, especially in primary health care. As Finland has long been a pioneer in the digitalization of health care, the results of this study show that the functionalities of eHealth will be adopted in stages, and deployment will take time; therefore, national eHealth strategies and legislative changes need to be implemented in a timely manner. The comprehensive sample size used in this study allows a regional comparison in the country, compared with previous country-specific international studies.

Evaluation of eHealth Deployment at Primary Care in the EU Member States by Usage of Selected MCDM Methods

Abstract Information and Communication Technologies have become a revolutionary part of European healthcare in recent years. The European Commission considers eHealth as an important and appropriate tool that can contribute to cope with the challenges that are currently affecting the healthcare systems in Europe. The development of eHealth is therefore embedded in many EU strategies and is being evaluated on an ongoing basis. In the past, several studies have been carried out focusing on the evaluation of individual areas of eHealth - especially on the area of primary care secured by General Practitioners and Acute Hospitals. However, no synthesis of these works was made. This paper is focused on the proposing of an assessment for both mentioned areas of eHealth. The aim is to evaluate the eHealth deployment in the European Union Member States by the synthesis of Composite Indicators in existing studies into the evaluation model based on the application of Multiple-Criteria Decision-Making techniques. The evaluation is performed by the usage of TOPSIS, WSA, and MAPPAC method. The result of the research is the design of an evaluation framework for eHealth that enables the comparison of eHealth indicators in the international context and evaluation of eHealth deployment in European Union Member States in the form of a ranking. In this ranking, the Nordic countries are among the best-rated countries, while the worst-rated countries are in Eastern Europe.

A Microservices e-Health System for Ecological Frailty Assessment Using Wearables.

The population in developed countries is aging and this fact results in high elderly health costs, as well as a decrease in the number of active working members to support these costs. This could lead to a collapse of the current systems. One of the first insights of the decline in elderly people is frailty, which could be decelerated if it is detected at an early stage. Nowadays, health professionals measure frailty manually through questionnaires and tests of strength or gait focused on the physical dimension. Sensors are increasingly used to measure and monitor different e-health indicators while the user is performing Basic Activities of Daily Life (BADL). In this paper, we present a system based on microservices architecture, which collects sensory data while the older adults perform Instrumental ADLs (IADLs) in combination with BADLs. IADLs involve physical dimension, but also cognitive and social dimensions. With the sensory data we built a machine learning model to assess frailty status which outperforms the previous works that only used BADLs. Our model is accurate, ecological, non-intrusive, flexible and can help health professionals to automatically detect frailty.

A Brief Survey on Six Basic and Reduced eHealth Indicators in Seven Countries in 2017.

Background Holistic, ubiquitous support of patient-centered health care (eHealth) at all health care institutions and in patients' homes through information processing is increasingly supplementing institution-centered care. While eHealth indicators may measure the transition from institution-centered (e.g., hospital-centered) information processing to patient-centered information processing, collecting relevant and timely data for such indicators has been difficult. Objectives This article aims to design some basic eHealth indicators, which are easily collected and measure how well information processing supports holistic patient-centered health care, and to evaluate penetrance of patient-centered health as measured by the indicators internationally via an expert survey. Methods We identified six basic indicators that measure access of health care professionals, patients, and caregivers to the patient's health record data and the ability of providers, patients, and caregivers to add information in the patient's record. In a survey of international informatics experts, these indicators' penetrance were evaluated for Austria, Finland, Germany, Hong Kong, South Korea, Sweden, and the United States in the summer of 2017. Results The eHealth status measured by the indicators varied significantly between these seven countries. In Finland, most practices measured by the indicators were fully implemented whereas in Germany only one practice was partially realized. Conclusion Progress in the implementation of practices that support patient-centered care could mainly be observed in those countries where the “political will” focused on achieving patient-centered care as opposed to an emphasis on institution-centered care. The six eHealth indicators seem to be useful for measuring national progress in patient-centered care. Future work will extend the number of countries analyzed.

A qualitative case study of ehealth and digital literacy experiences of pharmacy staff.

eHealth's many forms are benchmarked by the World Health Organization. Scotland is considered an advanced adopter of ehealth. The third global survey on ehealth includes pharmacy-related ehealth indicators. Advances in ehealth place an obligation on pharmacy staff to demonstrate proficiency, or digital literacy, in using ehealth technologies. The aim of this study was to provide an indepth exploration of the ehealth and digital literacy experiences of pharmacy staff in the North East of Scotland. A qualitative local case study approach was adopted for observational and interview activities in community and hospital pharmacies. Interview and observational data were collated and analysed using a framework approach. This study gained management approval from the local health board following ethical review by the sponsor university. Nineteen pharmacies and staff (n=94) participated including two hospitals. Most participants were female (n=82), aged 29 years and younger (n=34) with less than 5 years pharmacy experience (n=49). Participants identified their own digital literacy as basic. Most of the pharmacies had minimum levels of technology implemented (n=15). Four themes (technology, training, usability, processes) were inducted from the data, coded and modelled with illustrative quotes. Scotland is aspirational in seeking to support the developing role of pharmacy practice with ehealth, however, evidence to date shows most pharmacy staff work with minimum levels of technology. The self-reported lack of digital literacy and often mentioned lack of confidence in using IT suggest pharmacy staff need support and training. Informal work based digital literacy development of the pharmacy team is self-limiting. Usability of ehealth technology could be a key element of its' acceptability. There is potential to better engage with ehealth process efficiencies in both hospital and community pharmacy. As Scotland increasingly invests in ehealth pharmacy technology, it is important that it also invests in pharmacy staff training.

Stakeholder driven indicators for eHealth performance management

The goal of the present article is to compile a corpus of indicators of eHealth development evaluation that would essentially reflect stakeholder approaches and complement technical indicators of assessment of an eHealth system. Consequently, the assessment of the development of an eHealth system would reflect stakeholder approaches and become an innovative solution in attempting to improve productivity of IT projects in the field of health care. The compiled minimum set of indicators will be designed to monitor implementation of the national eHealth information system. To ensure reliability of the quality research, the respondents were grouped in accordance to the geographical distribution and diversity of the levels and types of the represented jobs and institutions. The applied analysis implies several managerial insights on the hierarchy of eHealth indicators. These insights may be helpful in recommending priority activities in implementation of an eHealth data system on the national or international level. The research is practically useful as it is the first to deal with the topic in Lithuania and its theoretical and practical aspect are particularly relevant in implementation of an eHealth data system in Lithuania. The eHealth assessment indicators presented in the article may be practically useful in two aspects: (1) as key implementation guidelines facilitating the general course of eHealth system development and (2) as a means to evaluate eHealth outcomes.

Nordic eHealth indicators: organisation of research, first results and plan for the future.

eHealth indicator and benchmarking activities are rapidly increasing nationally and internationally. The work is rarely based on a transparent methodology for indicator definition. This article describes first results of testing an indicator methodology for defining eHealth indicators, which was reported at the Medical Informatics Europe conference in 2012. The core elements of the methodology are illustrated, demonstrating validation of each of them in the context of Nordic eHealth Indicator work. Validation proved the importance of conducting each of the steps of the methodology, with several scientific as well as practical outcomes. The article is based on a report to be published by the Nordic Council of Ministers [4].

EHealth indicators: results of an expert workshop.

eHealth indicators are needed to measure defined aspects of national eHealth implementations. However, until now, eHealth indicators are ambiguous or unclear. Therefore, an expert workshop "Towards an International Minimum Dataset for Monitoring National Health Information System Implementations" was organized. The objective was to develop ideas for a minimum eHealth indicator set. The proposed ideas for indicators were classified based on EUnetHTA and De-Lone & McClean, and classification was compared with health IT evaluation criteria classification by Ammenwerth & Keizer. Analysis of the workshop results emphasized the need for a common methodological framework for defining and classifying eHealth indicators. It also showed the importance of setting the indicators into context. The results will benefit policy makers, developers and researchers in pursuit of provision and use of evidence in management of eHealth systems.