Redesigning Electronic Health Record Systems to Support Developing Countries

TL;DR

This paper proposes a new offline-compatible EHR architecture tailored for developing countries, aiming to improve healthcare access, support clinical decisions, and enhance public health surveillance through AI integration.

Contribution

It introduces a novel, inclusive EHR architecture designed for offline use and rural areas, addressing unique challenges in developing countries.

Findings

Supports healthcare transactions offline in underserved areas

Enables AI-driven public health policy and surveillance

Fosters inclusion across social and socioeconomic groups

Abstract

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.