Access to primary healthcare, including diagnostic testing, is limited in Guinea, particularly for low-income residents of rural communities. Here we share findings from an interventional operational research study evaluating the feasibility of deploying a digital tool and rapid diagnostic tests to support community-based testing for priority medical conditions across three rural and peri-urban communities in Guinea. An existing web-based application was modified to include integrated symptom screening for malaria and COVID-19, maximize workflow efficiency and conduct end-to-end data capture on tablet devices. Using the application, community health workers screened participants for symptoms of malaria and COVID-19, with eligible participants tested using rapid diagnostic tests. All participants also underwent blood pressure and blood glucose measurements, while malnutrition screening was offered to pregnant women or children under 5 years. Services were provided to residents through mass consultations and home care visits across the study locations. The intervention reached 5204 people overall, with 3241 people enrolled via the application. 32.4% and 15.8% of participants had elevated blood pressure and blood glucose levels, the majority of whom were previously undiagnosed. Of those tested for malaria, 3.2% ( = 28/876) tested positive. The digital tool was successful in providing end-to-end data capture, with 99% of participants having their rapid diagnostic test results captured in real-time, and all outcomes reported into the Ministry of Health database. Together, the study demonstrates the feasibility of using a web-based digital tool to support community health workers with providing community-based diagnostic services in rural and peri-urban communities in a low-resource setting.