Mediation Model of Digital Technology Factors Affecting Health Care Service Performance

Healthcare technologies have become a crucial component of healthcare providers' daily operations. Hence, healthcare innovation technologies are being promoted worldwide. Healthcare service technologies are constantly improving necessitates ongoing research to show how these technologies affect healthcare services. Hence, current study investigating the state of innovative digital healthcare service practises in the UAE. It examining the effect of innovative technology on healthcare service performance in the UAE and modeling mediating role of organisational learning capacity in the relationship between innovative technology and healthcare service performance. A structural equation model was developed in SmartPLS software using the data collected of the questionnaire. The model showed that the factors system development, digital services, process integration, and IT base innovations have strong relationship effect to the health care performance. Also, the organisational learning capacity has strong mediation effect on the health services relationship. This research has contributed to current state of literatur regarding digital service innovations related to health service performance in the UAE. The results exphasized a critical need for practationners for promoting developments in digital services impacted the performance of health services

Influence of Innovative Digital Technology on Healthcare Service Performance

This paper presents a study on innovative digital technology factors affecting UAE healthcare service practices performance. The innovative digital technology factors are clustered in four domains namely system development; IT base innovation; technology services and process integration. Data collection was conducted through questionnaire survey among healthcare employees from managers to operational workers in Dibba Hospital, Masafi Hospital, and Fujairah Hospital in UAE. The selection of respondents was carried out in two sampling approaches which are stratified sampling random sampling technique methods. A total of 300 questionnaire sets were distributed but only 281 sets of completed questionnaire were returned for the analysis. This represents the responses rate of 94%. Before conducting the ranking analysis, the collected data was characterised for its reliability and normality patterns and found that the data has achieved the reliability and normality criteria. The ranking analysis found that the most influential innovative digital technology factor is TS2 of the technology services domain. TS2 is concerning the connectivity with an extranet. The second factor is TS3 in the technology services domain which is efficient human resource management system. The third rank is SD2 system development domain which is updates the technological features of existing system to improve healthcare services. The fourth rank is BIN1 in IT base innovation domain which is adds new capabilities to the existing system. Finally, the fifth rank is BIN2 in IT base innovation domain which is new features are often added to the existing system. &nbsp