2023/01/31 by Jean Marie Tshimula, D’Jeff K. Nkashama, Tshimula, Jean Marie +13
Business, Management and Accounting · Computer Science · Health Professions · #Architecture #Artificial Intelligence (cs.AI) #Business #Clinical decision support system #Computer science #Computers and Society (cs.CY) #Databases (cs.DB) #Developing country #Economic growth #Electronic health record #FOS: Computer and information sciences #FinTech, Crowdfunding, Digital Finance #Geography #Health care #Human-Computer Interaction (cs.HC) #ICT in Developing Communities #Internet privacy #Knowledge management #Leverage (statistics) #Mobile Health and mHealth Applications #Software Engineering (cs.SE) #The Internet #World Wide Web
paper · pdf · doi:10.48550/arxiv.2302.01281
published in arXiv (Cornell University) (Cornell University)
openalex publication_date 2023/01/31 · openalex created_date 2023/02/04 · openalex updated_date 2026/07/28
Electronic Health Record (EHR) has become an essential tool in the healthcare ecosystem, providing authorized clinicians with patients' health-related information for better treatment. While most developed countries are taking advantage of EHRs to improve their healthcare system, it remains challenging in developing countries to support clinical decision-making and public health using a computerized patient healthcare information system. This paper proposes a novel EHR architecture suitable for developing countries--an architecture that fosters inclusion and provides solutions tailored to all social classes and socioeconomic statuses. Our architecture foresees an internet-free (offline) solution to allow medical transactions between healthcare organizations, and the storage of EHRs in geographically underserved and rural areas. Moreover, we discuss how artificial intelligence can leverage anonymous health-related information to enable better public health policy and surveillance.