Figure 1.
The flowchart illustrates the selection process for academic and practitioner literature related to G e n A I in healthcare S M E s. The left section shows a Web of Science database search using the topics Generative A I, GenA I, ChatG P T, and Artificial Intelligence combined with healthcare, service, and S M E-related terms. Initial article counts are 16,100, 1,918, and 38. Exclusion criteria remove proceeding papers, editorial material, meeting abstracts, and news items. Filtered article counts become 15,203, 1,512, and 28 after removing publications older than 2022 and management or business-only categories. Further filtering merges categories and removes duplicates, resulting in 212, 99, and 5 articles. Screening of 316 titles and abstracts excludes studies missing information about wellbeing implications of G e n A I integration, leading to a final selection of 41 academic articles for analysis and coding. The right section shows a Google Advanced Search using the keyword GenA I in Healthcare, limited to P D F documents. Fifty initial records from the first 5 pages of Google results are identified. News articles, blogs, promotional materials, and non-healthcare-related documents are excluded. Forty-three records are screened using the A A C O D S checklist, and documents failing authority, accuracy, coverage, objectivity, date, and significance criteria are excluded. The process results in the selection of 20 practitioner grey literature documents for full-text analysis and coding.Flow process chart of two-way literature research methodology
Source: Authors’ own work