A research review on semantic interoperability issues in electronic health record systems in medical healthcare

Yadav, Rimmy; Murria, Saniksha; Sharma, Añil

doi:10.1016/b978-0-12-821472-5.00009-0

Cited by 3 publications

(4 citation statements)

References 25 publications

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“…Specifically, the ability to use all EHR parts based on natural language (anamnesis, clinical diary and hospital discharge letter) for research is very promising. In this respect, the interoperability features of the EHR can interface effectively with terminology management systems [41][42][43][44][45][46] and with natural language processing systems.…”

Section: Discussionmentioning

confidence: 99%

An Interoperable Electronic Health Record System for Clinical Cardiology

et al. 2022

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Currently in hospitals, there are several separate information systems that manage, very often autonomously, the patient’s personal, clinical and diagnostic data. An electronic health record system has been specifically developed for a cardiology ward and it has been designed “ab initio” to be fully integrated into the hospital information system and to exchange data with the regional health information infrastructure. All documents have been given as Health Level 7 (HL7) clinical document architecture and messages are sent as HL7-Version 2 (V2) and/or HL7 Fast Healthcare Interoperability Resources (FHIR). Specific decision support sections for specific aspects have also been included. The system has been used for more than three years with a good level of satisfaction by the users. In the future, the system can be the basis for secondary use for clinical studies, further decision support systems and clinical trials.

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Section: Discussionmentioning

confidence: 99%

An Interoperable Electronic Health Record System for Clinical Cardiology

et al. 2022

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“…Secure medical systems (Ajayi et al, 2020;Aljabri et al, 2022;Nagasubramanian et al, 2020;Saxena et al, 2023;Sharma et al, 2022;Yadav et al, 2020) must overcome numerous challenges for interoperability, many of which have both structural and semantic roots. Because different medical systems use different file types, coding schemes, and data structures, the diversity of data formats creates structural issues.…”

Section: Introductionmentioning

confidence: 99%

“…Because different medical systems use different file types, coding schemes, and data structures, the diversity of data formats creates structural issues. These differences in data formats affect the efficiency and accuracy of patient care by making it more challenging to exchange and assess medical data (Ajayi et al, 2020;Aljabri et al, 2022;Gminsights.com, 2019;Kuo et al, 2019;Nagasubramanian et al, 2020;Saxena et al, 2023;Sharma et al, 2022;Yadav et al, 2020). On the other hand, challenges arise at the semantic level due to variations in data meaning and coding methods.…”

Section: Introductionmentioning

confidence: 99%

A review of distributed ledger technologies application in medical systems interoperability

Bundi,

Mutua,

Karume

2024

AJSTSS

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This study of the literature delves into the complex area of medical systems interoperability, focusing on mitigating variables that impact security and data transfer at the structural and semantic levels. In the era of digital healthcare, the secure sharing of medical data is crucial, and this study looks at how Distributed Ledger Technologies (DLTs) can play a major role in addressing these challenges. Complex interoperability issues that come from differences in communication protocols, data formats, established data structures, data models, and data meaning and codification methodologies face the healthcare industry. These problems typically impede the seamless transmission of electronic medical records between healthcare systems. Because of their decentralized structure and cryptographic foundation, DLTs offer a workable solution to these issues. By critically evaluating previous research and case studies, DLTs may be able to lessen these interoperability issues, as this literature review illustrates. Since DLTs provide an immutable and secure platform for the transmission of medical data, guaranteeing data integrity and confidentiality, they are a natural fit for the sensitive nature of healthcare data. Their importance in creating safe communication protocols, enhancing the meaning of data, and defining models and formats for data is emphasized in this review. A comprehensive architecture for DLT interoperability in healthcare is also recommended by the research. This framework encourages the development of DLT integration, shared data models, standardized data formats, and governance and policy. By implementing this strategy and strengthening secure medical data sharing, healthcare organizations and governments may increase the efficiency, precision, and speed of healthcare delivery. The crucial role that DLTs play in removing the structural and semantic barriers to safe medical systems interoperability is highlighted in the conclusion of this literature review. By adopting DLTs, the healthcare sector may usher in a new era of standardized, safe, and efficient medical data transmission, which will ultimately benefit both patients and healthcare providers. This study shows how distributed ledger technologies (DLTs) have the potential to revolutionize the healthcare industry by enabling the secure and meaningful exchange of medical data between different systems, thereby improving patient care and healthcare outcomes.

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“…A rational view of medical progress and an objective assessment of the impact of medical technology development on human health may be of immense value to the development of medicine and the humanistic spirit guiding the direction of medicine. Health culture has a more special and essential status and role [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Medical Industry Analysis Post-Pandemic from the Year 2020 to 2021

Wang,

Shao,

Zhang

2023

AEMPS

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This article collects data on the medical industry for 2020-2021 and explores various indicators that may affect the earnings of medical head companies. The categories of pharmaceutical companies are divided into Bioengineering, Medical Services, and Pharmaceuticals. According to the linear regression model, the R-squared and adjusted R-squared values are large and close to 1. It indicates that our data selection is relevant, and our independent variables can be used as predictors of the dependent variable. Differences in the percentage change in assets, the related industries of individual companies, and the number of employees can be strong predictors of changes in their revenue ratios.

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A research review on semantic interoperability issues in electronic health record systems in medical healthcare

Cited by 3 publications

References 25 publications

An Interoperable Electronic Health Record System for Clinical Cardiology

An Interoperable Electronic Health Record System for Clinical Cardiology

A review of distributed ledger technologies application in medical systems interoperability

Medical Industry Analysis Post-Pandemic from the Year 2020 to 2021

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