CYAIDBHCSEJan 31, 2023

Redesigning Electronic Health Record Systems to Support Developing Countries

arXiv:2302.01281v19 citationsh-index: 7
Originality Synthesis-oriented
AI Analysis

This addresses the problem of limited healthcare information access for clinicians and policymakers in developing countries, though it appears incremental as it adapts existing EHR concepts to new contexts.

The paper tackles the challenge of implementing Electronic Health Record (EHR) systems in developing countries by proposing a novel architecture that includes an internet-free solution for underserved areas and leverages AI for public health policy, aiming to foster inclusion and tailored solutions across social classes.

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.

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