Introduction: Cervical cancer (CC) is the most common cancer in HIV positive women. Cases are expected to increase by 46% until 2030. The aim was to determine physicians’ satisfaction with the mobile application, which develops CC algorithms in HIV+ women, provides definitive individual risk and critical preventive education.

Methods: The study was a cross-sectional design and completed at Escola Bahaina de Medicine Saúde Pública in Brazil because of a collaborative project utilizing clinical informatics expertise. First, CC risk factors were revised and algorithms selected by considering WHO’s procedures. Three risk intervals for each algorithm were created by accepted lab results. We classified risk intervals as low, moderate and high. Second, the application was created by using Android Studio with PHP and MYSQL. Third, the physician interface of the application was published which lets physicians calculate CC risk and obtain the education as if they were patient. Last, a survey was created to obtain physicians’ opinions.

Results: Five physicians associated with the research replied to our survey. 80% (n=4) were satisfied with the application, and 60% (n=3) thought the calculated risk was accurate. 80% (n=4) believed the education section was very helpful to change patients' habits for prevention. 80% (n=4) found the application quite useful to educate patients to understand the correlation between HIV+ and CC.

Conclusion: Scholars may be interested in trying other classifications, extraction, or selection of algorithms and having a larger sample, which may result in better performance in terms of accuracy sensitivity and specificity.

Key Words: Cervical Cancer Prevention, Mobile Health, HIV