Positive Computing-Integrated Smart Ward Intervention: Effects on Missed Nursing Care, Anxiety, and Satisfaction Among Patients With Respiratory Diseases—A Mixed Methods Study

Objective Positive Computing is a core direction in the field of Digital Health, emphasizing the proactive use of humanized digital technologies to enhance human physical and mental health as well as life experiences. Patients with respiratory diseases often face problems such as frequent missed nursing care and high incidence of anxiety during hospitalization, which cannot be fully addressed by traditional ward nursing models. This study aimed to evaluate the improvement effects of smart ward transformation based on the concept of Positive Computing on missed nursing care, anxiety, and nursing satisfaction among such patients, thereby providing clinical evidence for the application of Positive Computing in the field of Digital Health. Methods From July to October 2025, a convenient sampling method was used to select 320 patients from the Department of Respiratory and Critical Care Medicine, Tianjin Haihe Hospital. They were divided into an observation group (n = 198, smart ward with Positive Computing design) and a control group (n = 122, traditional ward with routine nursing) by ward. Self-administered questionnaires included the total score and subscale scores of the Patient-reported Missed Nursing Care Scale, Visual Analogue Scale for Anxiety (VAS-A) score, and nursing satisfaction. SPSS 25.0 was used for independent samples t-test and χ² test, and Colaizzi's seven-step method was adopted for qualitative analysis combined with semi-structured interviews. Results The total score of the Patient-reported Missed Nursing Care Scale (1.52 ± 0.51) and subscale scores in the observation group were significantly lower than those in the control group (2.09 ± 0.68); the VAS-A score in the observation group (3.2 ± 1.5) was significantly lower than that in the control group (5.8 ± 2.1), while the nursing satisfaction (74.10 ± 1.62) was significantly higher than that in the control group (70.79 ± 3.33), with statistically significant differences (all P < 0.05). Qualitative interview results showed that participating nurses generally observed that the transparent information function of the bedside large screen and the contactless service of intelligent robots in the smart ward effectively reduced frequent inquiries from patients due to information asymmetry. This not only improved the efficiency of nursing communication but also enhanced patients' sense of safety during medical treatment. Conclusion The transformation of smart wards based on the concept of Positive Computing can significantly reduce missed nursing care, alleviate anxiety, and improve nursing satisfaction among patients with respiratory diseases, demonstrating good clinical application value and promotion prospects.