A semantic-driven framework for IT support of clinical laboratory standards

Maikore, Fatima Sabiu. 2020. A semantic-driven framework for IT support of clinical laboratory standards. Doctoral thesis, Goldsmiths, University of London [Thesis]

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Abstract or Description

The clinical laboratory plays a critical role in the delivery of care within the healthcare system by providing services that support accurate and timely diagnosis of diseases. The clinical laboratory relies on standard operating procedures (SOP) to provide information and guidance on the laboratory procedures. To ensure an excellent standard of clinical laboratory services, SOPs need to be of high quality, and practitioners need to have easy access to information contained within the SOPs. However, we argue in this thesis that there is a lack of standardization within clinical laboratory SOPs, and machines and human practitioners have difficulties accessing or using the content of SOPs.

This thesis proposes a solution to challenges regarding the representation and use of SOPs in clinical laboratories (see Chapter 1). The research work in this thesis is based on the most up-to-date technological, theoretical, and empirical approaches (see Chapter 2). Additionally, external researchers have already utilized the outcome of this research for various purposes (see Chapter 5). In this thesis, we present the SmartSOP framework, a semantic-driven framework, that supports the representation of clinical laboratory procedure concepts in a standardised format for use within software applications. The SmartSOP framework consists of three main components, the Ontology for Clinical Laboratory SOP (OCL-SOP), the translation engine that converts free text SOPs to a standardised format, and a mobile application to provide lab practitioners with easy access to SOPs (see Chapters 3 and 4). We used the design science approach for the execution of this research work.

Item Type:

Thesis (Doctoral)

Identification Number (DOI):



OCL-SOP, SmartSOP, ontology, natural language processing, clinical laboratory technologies

Departments, Centres and Research Units:



31 August 2020

Item ID:


Date Deposited:

08 Jun 2021 11:12

Last Modified:

08 Jun 2021 11:12



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