Commentary: Design science research as a pathway to strengthening evidence within the nursing intervention classification

Bulechek GM McCloskey JC Dochterman JM (2019) Nursing Interventions Classification (NIC)-E-Book. Elsevier Health Sciences.

Butcher HK Bulechek GM Dochterman JM Wagner C (eds.) (2016) Nursing interventions classification (NIC). 7th edn. St. Louis: Elsevier

Chaudhary A Gupta S Kumar A (2020) A design science research approach to developing decision support systems in healthcare. Journal of Decision Systems 29: 231–248.

Gordon M Ackley BJ Ladwig GB Makic MBF Martinez-Kratz MR Zanotti M (eds.) (2020). Nursing diagnosis handbook: An evidence-based guide to planning care. 12th edn. St. Louis: Elsevier.

Gregor S Jones D (2007) The anatomy of a design theory. Journal of the Association for Information Systems 8: 312–335.

Herdman TH Kamitsuru S (2018) NANDA International nursing diagnoses: Definitions and classification, 2018–2020. New York: Thieme.

Hevner AR March ST Park J , et al. (2004). Design science in information systems research. MIS Quarterly 28: 75–105.

Hirschheim R. (2009). A paradigm shift in information systems research. Journal of Information Technology 24: 290–301.

Peffers K Tuunanen T Rothenberger MA Chatterjee S (2007) A design science research methodology for information systems research. Journal of Management Information Systems 24: 45–78.

Venicios Lopes M , et al. (2025) A design science research framework for evidence levels in the nursing interventions classification. Epub ahead of print. DOI: 10.1177/17449871251392092.

Yang YT Ricciardi R (2025) Regulating AI in nursing and healthcare: Ensuring safety, equity, and accessibility in the era of federal innovation policy. Policy, Politics, & Nursing Practice. DOI: 10.1177/15271544251381228