Remote health care is currently one of the most promising solutions to ensure a high level of treatment outcome, cost-efficiency and sustainability of the healthcare systems worldwide. Even though research on remote health care can be traced back to the early days of the Internet, the recent COVID-19 has necessitated further improvement in existing health care systems with invigorated research on remote health care technologies. In this article we delve into the state-of-the-art research in latest technologies and technological paradigms that play a vital role in enabling the next generation remote health care and assisted living. First the need of using the latest technological developments in the domain of remote health care is briefly discussed. Then the most important technologies and technological paradigms that are crucial in enabling remote health care and assisted living are emphasised. Henceforth, a detailed survey of existing technologies, potential challenges in those technologies, and possible solutions is conducted. Finally, missing research gaps and important future research directions in each enabling technology are brought forth to motivate further research in remote health care.

A new type of terminal device, a wireless personal digital assistant (PDA) based on a GSM digital cellular phone, was used to transmit computerized tomography scans of 21 patients to a neuroradiologist. All transmitted images were suitable for a preliminary consultation and in one case a final report could be made. In 18 cases the findings were compatible with the reference film reading performed later and in three cases there were minor differences of no clinical importance. Transmission of a single image lasted 1 min 30 s and the transmission of a complete brain scan (14 images) took on average 21 min. The total process of transmission and interpretation of a brain examination series took on average 40 min. In this pilot study the neuroradiologist gained essential information in 24% of the cases and beneficial information in 62%. The neuroradiologist considered that the image consultation saved a hospital visit in 15 cases (71%). Although PDA technology is at an early stage of development and has numerous limitations, it is likely that future technical improvements will allow easier clinical consultations for neurosurgeons and neurologists.

Clinical information systems (CISs) used in intensive care units (ICU) integrate large amounts of patient data every minute, and from multiple systems and devices. Intensive care requires efficient use of information technology to acquire, synchronize, integrate, and analyze data in order to make quick decisions and implement interventions in a timely manner. To identify factors affecting poor user experience (UX) of CISs used in ICUs in Finland. Data from national Electronic Health Record (EHR) and user experience survey was undertaken in 2017. Those, who used the ICU CIS on a daily or weekly basis were asked supplementary questions and, therefore, comprise a subset of the responses reported in this article. On a 4-10 scale (i.e., "Fail" to "Excellent"), the mean 'grade' for the principally used ICU CIS was 6.9 (SD 1.3) points. Of the respondents, 119 (57%) were categorized as having good UX. The factors identified as affecting poor UX of the ICU CISs related to poor interface design (OR 7.8; 95% CIs 12.5-24.1; p = 0.001), insufficient customizability (OR 7.2; 95% CIs 1.7-30.6; p = 0.008), the inefficiency of performing routine tasks (OR 4.3; 95% CIs 1.0-18.2; p = 0.044), malfunctions (OR 3.5; 95% CIs 1.2-9.6; p = 0.019), and difficulties in information retrieval (OR 3.0; 95% CIs 1.0-8.8; p = 0.044). The most commonly reported usability problems with the main EHR system and ICU CISs were also identified. Overall satisfaction with the principally used ICU CIS was moderate. However, the overall grades varied significantly. Poor interface design, insufficient customizability, inefficiency, malfunctions, and difficulties in information retrieval all affect poor UX.

Background: eHealth 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. Objective: The 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. Methods: Data 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. Results: All 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. Conclusions: eHealth 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.