Quantitative analysis shows significant differences in data quality for hemodialysis applications in hospitals, suggesting implications for patient satisfaction.
Key Points
A significant difference in data quality was found in the Task Technology Fit dimension between two hospitals.
Hospital 1 showed superior data quality with a U-value of 56.500 and p-value of 0.013.
Thirty respondents participated in a comparative cross-sectional study using the Mann-Whitney U test.
Findings suggest that data quality is crucial for effective clinical decision-making in hemodialysis services.