Health Research Information Systems for Responsible Innovation and Sustainable Health Ecosystems: A Bibliometric Analysis

Epizitone, A., Moyane, S.P. and Agbehadji, I.E. (2022), “Health information system and health care applications performance in the healthcare arena: a bibliometric analysis”, Healthcare, Vol. 10 No. 11, p. 2273, doi: 10.3390/healthcare10112273.

Gandasari, D., Tjahjana, D., Dwidienawati, D. and Sugiarto, M. (2024), “Bibliometric and visualized analysis of social network analysis research on Scopus databases and VOSviewer”, Cogent Business and Management, Vol. 11 No. 1, 2376899, doi: 10.1080/23311975.2024.2376899.

Gusenbauer, M. and Gauster, S.P. (2024), “How to search for literature in systematic reviews and meta-analyses: a comprehensive step-by-step guide”, Technological Forecasting and Social Change, Vol. 212, 123833, doi: 10.1016/j.techfore.2024.123833.

Haddaway, N.R., Page, M.J., Pritchard, C.C. and McGuinness, L.A. (2022), “PRISMA2020: an R package and shiny app for producing PRISMA 2020-compliant flow diagrams, with interactivity for optimised digital transparency and open synthesis Campbell”, Systematic Reviews, Vol. 18, e1230, doi: 10.1002/cl2.1230.

Jada, I. and Mayayise, T.O. (2023), “The impact of artificial intelligence on organisational cyber security: an outcome of a systematic literature review”, Data and Information Management, Vol. 8 No. 2, 100063, doi: 10.1016/j.dim.2023.100063.

Jeilani, A. and Hussein, A. (2025), “Impact of digital health technologies adoption on healthcare workers’ performance and workload: perspective with DOI and TOE models”, BMC Health Services Research, Vol. 25 No. 1, 271, doi: 10.1186/s12913-025-12414-4.

Langote, M., Saratkar, S., Kumar, P., Verma, P., Puri, C., Gundewar, S. and Gourshettiwar, P. (2024), “Human–computer interaction in healthcare: comprehensive review”, AIMS Bioengineering, Vol. 11 No. 3, pp. 343-390, doi: 10.3934/bioeng.2024018.

Mengist, W., Soromessa, T. and Legese, G. (2019), “Method for conducting systematic literature review and meta-analysis for environmental science research”, MethodsX, Vol. 7, 100777, doi: 10.1016/j.mex.2019.100777.

Ololade, A.J., Paul, S.O., Morenike, A.T. and Esitse, D.A. (2023), “Bolstering the role of human resource information system on employees’ behavioural outcomes of selected manufacturing firms in Nigeria”, Heliyon, Vol. 9 No. 1, e12785, doi: 10.1016/j.heliyon.2022.e12785.

Patino, C.M. and Ferreira, J.C. (2018), “Inclusion and exclusion criteria in research studies: definitions and why they matter”, Jornal Brasileiro de Pneumologia, Vol. 44 No. 2, p. 84, doi: 10.1590/S1806-37562018000000088.

Petrosillo, I., Lovello, E.M., Drago, C., Magazzino, C. and Valente, D. (2024), “Global environmental sustainability trends: a temporal comparison using a new interval-based composite indicator”, Environmental and Sustainability Indicators, Vol. 24, 100482, doi: 10.1016/j.indic.2024.100482.

Pottier, P., Lagisz, M., Burke, S., Drobniak, S.M., Downing, P.A., Macartney, E.L., Martinig, A.R., Mizuno, A., Morrison, K., Pollo, P., Ricolfi, L., Tam, J., Williams, C., Yang, Y. and Nakagawa, S. (2024), “Title, abstract and keywords: a practical guide to maximize the visibility and impact of academic papers”, Proceedings of the Royal Society B: Biological Sciences, Vol. 291 No. 2027, 20241222, doi: 10.1098/rspb.2024.1222.

Pradhan, A.K., Mishra, M. and Nanda, S. (2025), “Integrating knowledge engineering for semantic interoperability in intelligent digital libraries and health research information systems”, Journal of Library and Information Communication Technology, Vol. 14 No. 2, pp. 15-26, doi: 10.5958/2456-9399.2025.00025.x.

Senthil, R., Anand, T., Somala, C.S. and Saravanan, K.M. (2024), “Bibliometric analysis of artificial intelligence in healthcare research: trends and future directions”, Future Healthcare Journal, Vol. 11 No. 3, 100182, doi: 10.1016/j.fhj.2024.100182.

Shaikh, A.K., Alhashmi, S.M., Khalique, N., Khedr, A.M., Raahemifar, K. and Bukhari, S. (2023), “Bibliometric analysis on the adoption of artificial intelligence applications in the e-health sector”, Digital Health, Vol. 9, doi: 10.1177/20552076221149296.

Thelwall, M., Kousha, K., Stuart, E., Makita, M., Abdoli, M., Wilson, P. and Levitt, J. (2023), “Do bibliometrics introduce gender, institutional or interdisciplinary biases into research evaluations?”, Research Policy, Vol. 52 No. 8, 104829, doi: 10.1016/j.respol.2023.104829.

Vaquero-Álvarez, E., Cubero-Atienza, A., Ruiz-Martínez, P., Vaquero-Abellán, M., Mencías, M.D.R. and Aparicio-Martínez, P. (2020), “Bibliometric study of technology and occupational health in healthcare sector: a worldwide trend to the future”, International Journal of Environmental Research and Public Health, Vol. 17 No. 18, p. 6732, doi: 10.3390/ijerph17186732.

Wamba, S.F. and Queiroz, M.M. (2021), “Responsible artificial intelligence as a secret ingredient for digital health: bibliometric analysis, insights, and research directions”, Information Systems Frontiers, Vol. 25 No. 6, pp. 2123-2138, doi: 10.1007/s10796-021-10142-8.

Wan, Y., Liu, Y., Chen, Z., Chen, C., Li, X., Hu, F. and Packianather, M. (2024), “Making knowledge graphs work for smart manufacturing: research topics, applications and prospects”, Journal of Manufacturing Systems, Vol. 76, pp. 103-132, doi: 10.1016/j.jmsy.2024.07.009.