The key finding
Clinical reasoning—the rapid, context-sensitive thinking nurses use to assess patients and make care decisions—is shaped by at least 55 identifiable factors spanning individual experience, case complexity, organizational resources, and external policy environments. Researchers analyzing 25 studies published between 2014 and 2025 found that clinical reasoning competence cannot be understood as a purely individual attribute. Instead, it emerges from interactions among the nurse’s own skills, the specifics of each patient case, institutional supports like staffing levels and guidelines, and broader influences including digital health technologies and regulatory frameworks. The review organized these 55 factors into 17 subdomains across four major categories using a decision-making ecology model, underscoring that sharp clinical judgment depends as much on workplace design as on personal expertise.
What the study looked like
This was an integrative review—a systematic synthesis of existing research rather than a new experiment. The authors followed the Whittemore and Knafl framework, searching four major databases (CINAHL, Cochrane Library, EMBASE, PubMed) for peer-reviewed studies on clinical reasoning among practicing nurses published from January 2014 through June 2025. They initially extracted 116 factors from the included studies, then condensed and categorized these into 55 final factors. Quality appraisal used the Mixed Methods Appraisal Tool Version 2018. Notably, the review focused on clinical nurses currently working in healthcare settings, not nursing students, addressing a gap in prior literature that had concentrated on educational contexts.
Why researchers think this happened
The authors framed their findings using the decision-making ecology (DME) model, which posits that clinical decisions arise from interplay among four domains: the decision-maker (individual nurse characteristics like experience and knowledge), the case (patient acuity, diagnostic ambiguity), the organization (staffing ratios, access to guidelines, institutional culture), and external factors (regulatory policies, technology integration). The review’s authors argue that rapid changes in patient complexity and the increasing penetration of digital tools—electronic health records, clinical decision support systems, telehealth platforms—have fundamentally altered the cognitive landscape of nursing. Previous syntheses overlooked these technology-mediated shifts. The emergence of new factors related to digital workflows and algorithmic supports reflects these evolving clinical environments, suggesting that clinical reasoning is becoming more distributed across human and machine agents.
How to read this carefully
This is a review of reviews and observational studies, not a controlled trial, so it identifies associations rather than proves causation. The 55 factors are descriptive categories synthesized from diverse study designs, populations, and settings, which means some may overlap or vary in importance depending on context. The review does not quantify the relative weight of each factor—knowing that “organizational culture” matters does not tell us how much it matters compared to, say, years of bedside experience. Additionally, most included studies were observational or qualitative, which can introduce bias and limit generalizability. The findings reflect literature published up to mid-2025, so emerging technologies and care models may introduce factors not yet captured. Readers should view this as a map of the terrain, not a prescription for individual or institutional action.
What this means for everyday life
If you or a loved one receives care in a hospital, this research suggests that the quality of clinical reasoning—the nurse’s ability to notice subtle changes, prioritize interventions, and escalate concerns—depends on far more than that nurse’s training or intelligence. It is influenced by whether the unit is adequately staffed, whether clear protocols exist, whether the electronic health record helps or hinders thought, and whether the organizational culture encourages speaking up. For nurse managers and hospital administrators, the findings suggest that investing in case-based learning, peer feedback sessions, adequate staffing, and thoughtfully designed digital tools may strengthen frontline decision-making. For policymakers, the review highlights the need to regulate technology integration carefully, ensuring that algorithms and alerts support rather than override human judgment. Given this, it might be worth considering how workplace conditions—not just individual competence—shape the safety and quality of the care we receive.