Title: Assessment of the Impact of Power Business Intelligence on Adenoma Detection Rate:
A Prospective Observational Trial
Version: 2 Date: 28 Feb 2025
Reviewer's report:
The study presents the analysis of the impact of Power BI on adenoma detection rates (ADR),
but although multivariate analysis was performed, the paper does not thoroughly explore why
Power BI did not significantly improve ADR. I recommend further clarification of the specific
situations where Power BI might or might not be effective, supported by additional empirical
data.
The discussion mentions that information overload and excessive feedback could influence the
results. It would be beneficial to further elaborate on these hypotheses and explore how the
feedback mechanism can be optimized to prevent overload and increase usability.Although
multivariate regression was conducted, the study does not fully explore other potential factors
affecting ADR. It would be important to investigate additional variables directly related to the
Power BI feedback mechanism, such as the method of information presentation and feedback
timing, to better understand the tool's actual impact.
The conclusion notes that Power BI has limited impact in high baseline ADR hospitals. I
recommend the authors expand this conclusion to focus more on how feedback tools can benefit
individual low-performing endoscopists, emphasizing the potential for improvement in these
cases.
Title: Assessment of the Impact of Power Business Intelligence on Adenoma Detection Rate:
A Prospective Observational Trial
Version: 2 Date: 28 Feb 2025
Reviewer's report:
The study presents the analysis of the impact of Power BI on adenoma detection rates (ADR),
but although multivariate analysis was performed, the paper does not thoroughly explore why
Power BI did not significantly improve ADR. I recommend further clarification of the specific
situations where Power BI might or might not be effective, supported by additional empirical
data.
The discussion mentions that information overload and excessive feedback could influence the
results. It would be beneficial to further elaborate on these hypotheses and explore how the
feedback mechanism can be optimized to prevent overload and increase usability.Although
multivariate regression was conducted, the study does not fully explore other potential factors
affecting ADR. It would be important to investigate additional variables directly related to the
Power BI feedback mechanism, such as the method of information presentation and feedback
timing, to better understand the tool's actual impact.
The conclusion notes that Power BI has limited impact in high baseline ADR hospitals. I
recommend the authors expand this conclusion to focus more on how feedback tools can benefit
individual low-performing endoscopists, emphasizing the potential for improvement in these
cases.
Please review this paper.
user
Title: Assessment of the Impact of Power Business Intelligence on Adenoma Detection Rate:
A Prospective Observational Trial
Version: 2 Date: 28 Feb 2025
Reviewer's report:
The study presents the analysis of the impact of Power BI on adenoma detection rates (ADR),
but although multivariate analysis was performed, the paper does not thoroughly explore why
Power BI did not significantly improve ADR. I recommend further clarification of the specific
situations where Power BI might or might not be effective, supported by additional empirical
data.
The discussion mentions that information overload and excessive feedback could influence the
results. It would be beneficial to further elaborate on these hypotheses and explore how the
feedback mechanism can be optimized to prevent overload and increase usability.Although
multivariate regression was conducted, the study does not fully explore other potential factors
affecting ADR. It would be important to investigate additional variables directly related to the
Power BI feedback mechanism, such as the method of information presentation and feedback
timing, to better understand the tool's actual impact.
The conclusion notes that Power BI has limited impact in high baseline ADR hospitals. I
recommend the authors expand this conclusion to focus more on how feedback tools can benefit
individual low-performing endoscopists, emphasizing the potential for improvement in these
cases.
assistant