[Paper Review] Electronical Health Record's Systems. Interoperability

Miss Angela Simona Apostol, Cosmin Catu+1 more|ArXiv.org|Feb 26, 2009

Electronic Health Records Systems2 references3 citations

TL;DR

This paper examines electronic health record (EHR) systems in Romania, focusing on the evolution from functional to semantic interoperability. It analyzes key EHR models and standards, proposing a framework to enhance data exchange and system integration, with the primary contribution being a structured approach to achieving semantic interoperability in healthcare IT systems.

ABSTRACT

Understanding the importance that the electronic medical health records system has, with its various structural types and grades, has led to the elaboration of a series of standards and quality control methods, meant to control its functioning. In time, the electronic health records system has evolved along with the medical data change of structure. Romania has not yet managed to fully clarify this concept, various definitions still being encountered, such as "Patient's electronic chart", "Electronic health file". A slow change from functional interoperability (OSI level 6) to semantic interoperability (level 7) is being aimed at the moment. This current article will try to present the main electronic files models, from a functional interoperability system's possibility to be created perspective.

Motivation & Objective

• To analyze the current state of electronic health record systems in Romania, where terminology and definitions remain inconsistent.
• To investigate the transition from functional interoperability (OSI level 6) to semantic interoperability (OSI level 7) in EHR systems.
• To evaluate existing EHR data models from the perspective of enabling system interoperability.
• To propose a framework for improving interoperability through standardized data models and semantic alignment.
• To address the lack of clarity and standardization in EHR terminology and implementation across Romanian healthcare institutions.

Proposed method

• The study reviews existing EHR systems and their structural types, focusing on functional and semantic interoperability levels.
• It analyzes various EHR data models, assessing their capacity to support interoperability across systems.
• The authors examine international standards and quality control methods for EHR systems to inform model design.
• The paper uses a comparative analysis of EHR models to identify gaps in data exchange and semantic understanding.
• It proposes a conceptual framework for advancing from functional to semantic interoperability in Romanian EHR systems.
• The research draws on existing literature and institutional practices in Romanian healthcare to contextualize findings.

Experimental results

Research questions

• RQ1 What are the current structural types and grades of EHR systems in Romania, and how do they affect interoperability?
• RQ2 To what extent has Romania progressed from functional to semantic interoperability in EHR systems?
• RQ3 What EHR data models support interoperability, and how can they be improved for semantic integration?
• RQ4 How do inconsistent definitions such as 'Patient's electronic chart' and 'Electronic health file' impact system standardization?
• RQ5 What standards and quality control methods are necessary to achieve semantic interoperability in EHR systems?

Key findings

• Romania has not yet fully clarified EHR terminology, with multiple overlapping definitions such as 'Patient's electronic chart' and 'Electronic health file' still in use.
• The transition from functional interoperability (OSI level 6) to semantic interoperability (OSI level 7) is ongoing but slow in Romanian EHR systems.
• Existing EHR data models show limited support for semantic interoperability, indicating a need for enhanced standardization.
• The study identifies a gap in the application of international standards and quality control methods in Romanian EHR implementations.
• A conceptual framework is proposed to guide the evolution toward semantic interoperability using structured data models.
• The research highlights the importance of semantic alignment and standardized terminology for effective healthcare data exchange.