Purpose: To explore Finnish experts' perceptions of the forms of digital healthcare that are anticipated to be the most utilised in healthcare in the medium-term future (year 2035) and anticipated healthcare workforce impacts those forms will have.
Design/methodology/approach: A total of 17 experts representing relevant interest groups participated in a biphasic online Delphi study. The results for each round were analysed using descriptive statistical methods and inductive content analysis.
Aims: To identify healthcare professionals' digital health competence profiles and explore associated factors to digital health competence in healthcare settings.
Design: A cross-sectional study.
Methods: Data were collected from 817 healthcare professionals from nine organizations with an electronic questionnaire by using Digital Health Competence instrument (42 items) and Aspects Associated with Digital Health instrument (15 items) between 1st March and 31st July 2022.
Aim: To describe managers' and professionals' views on the management of digital competence sharing in health care.
Design: A qualitative descriptive study.
Methods: Managers (n = 22) and professionals (n = 12) from two public primary, one public special and one private health care organization in Finland participated in semi-structured individual interviews between February and May 2022.
Aim(s): To describe nurse leaders' perceptions of culturally and linguistically diverse (CALD) nurses' competence-based management.
Design: A descriptive qualitative study of the competence-based management of CALD nurses, from the perspectives of nurse leaders in three primary and specialised medical care organisations. This study followed the COREQ guidelines.
Aim: To describe hospital nurse leaders' experiences with digital technologies.
Design: A qualitative descriptive study.
Methods: Semi-structured focus group interviews in one university-affiliated hospital in Finland.
Aim: To describe nurse leaders' and digital service developers' perceptions of the future role of artificial intelligence (AI) in specialized medical care.
Background: Use of AI has rapidly increased in health care. However, nurse leaders' and developers' perceptions of AI and its future in specialized medical care remain under-researched.