An Integrated Clinical Trial and Machine Leaning Operations Model for Artificial Intelligence Projects in Healthcare
Keywords: Clinical Trial, Healthcare, Machine Learning Operations, Software as a Medical Device, Software Testing
TL;DR: The work proposes an Integrated Clinical Trial and Machine Leaning Operations Model for Artificial Intelligence Projects in Healthcare
Abstract: Artificial Intelligence (AI) has been proven to have the capacity to match or outdo human beings in many healthcare tasks. That notwithstanding, AI solutions have not found their way into clinical practice and real-time decision making in healthcare (Goled, 2021). This challenge is occasioned by: the lack of randomized clinical trials to provide evidence of the applicability of the models developed in a real-world scenario, the lack of data for clinical trials and production stages. This is occasioned by the fact that most medical data is in inaccessible formats as well as restrictions on access to medical records on most countries due to privacy concerns, the ‘Inapplicability’ of models in out-of-lab settings, and the inability of models to be generalized beyond the development environments. This study seeks to address these challenges by proposing a model that integrates and sequences the salient aspects of a research process, the machine learning process, the development of software as a medical device, software testing and the clinical trial process. The methodology adopted in the study is design thinking.
Submission Category: Machine learning algorithms
Submission Number: 24
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