The Impact of the Mobile Nursing Care Plan Information System (MNCPIS) on Enhancing Productivity and Effectiveness of Nursing Services in Hospitals
Abstract
Background: In Indonesian hospitals, conventional nursing care planning systems often result in suboptimal performance, thereby limiting the productivity and effectiveness of nursing services. Implementing a mobile or electronic nursing care planning system may offer a promising alternative. Objectives: This study aimed to evaluate the impact of the Mobile Nursing Care Plan Information System (MNCPIS) on improving nursing services. Methods: A quasi-experimental design was used, involving 96 nurses from Muhammadiyah hospitals in East Java, Indonesia. Participants were assigned to intervention (MNCPIS) and control (conventional system) groups. The intervention lasted six months. Productivity and nursing service effectiveness were assessed using an 18-item questionnaire comprising 13 productivity items and five effectiveness items, rated on a five-point Likert scale. The questionnaire demonstrated acceptable overall internal consistency (Cronbach alpha = 0.784), with domain-specific Cronbach alpha coefficients of 0.91 for productivity and 0.87 for effectiveness. Statistical significance was set at P < 0.05. Results: The MNCPIS group showed an increase in nursing service productivity from 47.58 ± 7.704 at baseline to 53.60 ± 6.677 after the intervention, corresponding to a mean increase of 6.02 points. This within-group improvement was statistically significant (P < 0.001). In contrast, productivity in the Conventional Nursing Care Plan group increased by only 0.66 points, from 47.25 ± 8.213 to 47.91 ± 8.447, and this change was not statistically significant (P = 0.838). A similar pattern was observed for nursing service effectiveness. In the MNCPIS group, the mean effectiveness score increased from 18.50 ± 3.859 at baseline to 23.43 ± 2.550 after the intervention, representing a mean increase of 4.93 points (P < 0.001). By comparison, the Conventional Nursing Care Plan group showed an increase of only 0.81 points, from 18.04 ± 4.361 to 18.85 ± 3.451; this change was not statistically significant (P = 0.587). These findings suggest that implementing MNCPIS may improve nursing service productivity and effectiveness compared with conventional nursing care planning. Conclusions: MNCPIS offers a digital solution that enhances nursing documentation through artificial intelligence, enabling faster, more accurate, and more efficient services. Its implementation was associated with improved productivity and effectiveness in hospital-based nursing care. These findings support further evaluation and broader adoption of MNCPIS in healthcare settings throughout Indonesia.