Affiliations: [a] Department of Management Science and Technology, International Hellenic University, Kavala, Greece | [b] IT Department, General Hospital of Kavala, Kavala, Greece
Correspondence:
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Corresponding author: Leonidas Fragidis, Department of Management Science and Technology, International Hellenic University, Snt. Lukas, Kavala 65403, Greece. Tel.: +30 2510462184; E-mail: [email protected].
Abstract: BACKGROUND: The global implementation of Electronic Health Records has significantly enhanced the quality of medical care and the overall delivery of public health services. The incorporation of Evidence-Based Medicine offers numerous benefits and enhances the efficacy of decision-making in areas such as prevention, prognosis, diagnosis, and therapeutic approaches. OBJECTIVE: The objective of this paper is to propose an architectural design of an Evidence-Based Medicine information system based on the Electronic Health Record, taking into account the existing and future level of interoperability of health information systems in Greece. METHODS: A study of the suggested evidence-based medicine architectures found in the existing literature was conducted. Moreover, the interoperability architecture of health information systems in Greece was analyzed. The architecture design reviewed by specialized personnel and their recommendations were incorporated into the final design of the proposed architecture. RESULTS: The proposed integrated architecture of an Evidence-Based Medicine system based on the Electronic Health Record integrates and utilizes citizens’ health data while leveraging the existing knowledge available in the literature. CONCLUSIONS: Taking into consideration the recently established National Interoperability Framework, which aligns with the European Interoperability Framework, the proposed realistic architectural approach contributes to improving the quality of healthcare provided through the ability to make safe, timely and accurate decisions by physicians.
Keywords: Electronic health records, evidence-based medicine, clinical decision support systems, health information systems
