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Positivism Research Philosophy for AI in UK Healthcare

Explains the use of positivism and a quantitative approach for studying how AI and machine learning may reduce diabetes diagnosis errors in UK healthcare.

Category: Research

Uploaded by Victoria Grant on May 9, 2026

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The study will employ a positivism research philosophy as it is consistent with the fundamental principles of empirical investigation regarding the examination for reducing diabetes diagnosis errors in young adults using AI and Machine Learning in the UK healthcare sector. According to Blackwell (2018), positivism research philosophy focuses on the knowledge which is obtained from impartial and quantitative observation of activity. Moreover, the use of positivist research philosophy uses a standardised method and process in order to give accurate outcomes. The quantitative approach helps a study to perform numerical analysis and hypothesis testing. In this context, the primary objective of this study is to collect statistical data related to the impact of AI and ML in terms of enhancing the research of diagnostic tasks in the healthcare sector in the UK. The study will not include interpretivism research philosophy as this focuses on comprehending subjective experiences and their interpretations which can differ on individual basis (Alborough and Hansen, 2022). Therefore, the research regarding the impact of AI and ML technologies in the healthcare sector of the UK can be taken into a more comprehensive way by selecting the positivism research philosophy.

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