Study protocol for a pilot prospective, observational study investigating the condition suggestion and urgency advice accuracy of a symptom assessment app in sub-Saharan Africa: the AFYA-'Health' Study.

Elizabeth Millen¹, Nahya Salim², Hila Azadzoy¹, Mustafa Miraji Bane², Lisa O'Donnell¹, Marcel Schmude¹, Philipp Bode¹, Ewelina Tuerk¹, Ria Vaidya¹, Stephen Henry Gilbert^3,4

¹Ada Health GmbH, Berlin, Germany.

²Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.

³Ada Health GmbH, Berlin, Germany science@ada.com.

⁴EKFZ for Digital Health, Technische Universität Dresden, Dresden, Germany.

PubMed PMC DOI PDF

Abstract

INTRODUCTION: Due to a global shortage of healthcare workers, there is a lack of basic healthcare for 4 billion people worldwide, particularly affecting low-income and middle-income countries. The utilisation of AI-based healthcare tools such as symptom assessment applications (SAAs) has the potential to reduce the burden on healthcare systems. The purpose of the AFYA Study (AI-based Assessment oF…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.