Can you answer the following Questions? Attached is the main manuscript.
According to the project about the implementation of an algorithm to assist in the
selection of antibiotics prior to the urine culture results, there are various questions that a panel of experts might inquire about during the defense of the presentation.
1. Could you clarify the reasons for picking the particular algorithm for antibiotic selection in UTIs? (CDC, 2019).
2. What is your algorithm’s contribution to the fight against antibiotic resistance compared to the traditional empirical treatment methods? (Claeys et al., 2021).
3. What were the main challenges that you faced when you were implementing the
algorithm in a clinical setting, and how did you deal with them? (CDC, 2019).
4. How do you make sure that the algorithm is current with the new antibiotic resistance
data and the clinical guidelines? (Claeys et al., 2021).
5. Would you be able to explain the influence of the algorithm on patient outcomes, such as the rate of successful treatment and a decrease in antibiotic misuse? (Langner et al., 2021).
6. What feedback did you hear from practitioners on the algorithm used in their practice with regard to usability and effectiveness?
7. What is the algorithm integration into the clinical workflows, and what changes are
needed for its adoption?
8. What steps of safeguarding patient privacy and data security were taken by you
during the algorithm creation and testing?
9. what do you suggest to improve its efficiency and adoption?.
10. How do you see the place of such algorithms in the context of the implementation of
antimicrobial stewardship programs and healthcare delivery?
The questions cover the rationale, obstacles, results, comments, integration, data security, future improvements, and broader implications of the project, which gives
a comprehensive understanding of the project and its potential influence on health practices.