Clinic Waiting Room-based Study of Swahili Language Artificial Intelligence-driven Symptom Assessments in Tanzanian Primary Health Care Facilities

There will be two different wings of this study: (1) where a lay-person inputs their symptoms into the Swahili language Ada symptom assessment application (SAA); (2) where the usual care doctor asks a lay-person (the patient) the same questions from the SAA and determines their own condition suggestions based off this questioning and the SAA's condition suggestions. In both wings, the patient will be seeing their usual care doctor for a diagnosis and then a study-provided physician for a diagnosis. Separately, the doctors will list a ranking of other considered condition suggestions (diagnoses) and urgency advice, which will not be shared with the patient. These condition suggestions and urgency advice will be compared to a "gold standard", which will be determined by a high level panel for each patient's case, based on the doctor notes and physical examination results of each patient's visit.