Towards Human-Centered Models in Healthcare: Development of Practical Applications for Surgical Wards

Abstract

Data science solutions in healthcare are becoming increasingly prevalent, with clinicians becoming more aware of their potential across several departments in hospital facilities. Often, streamlining technical solutions is prioritized over the specific needs of stakeholders, leaving patients at a disadvantage and further vulnerable to potential bias. This work investigates past data science implementations in the healthcare field and employs a human-centered motivation towards the development of decision-making models across a healthcare facility’s surgical wards. The need for contextual information is emphasized, with strategies for human-centered models in healthcare explored, using these projects as case studies. This thesis outlines the process of implementing a human-centered design through model development, comparing results of these models to those previously seen in the literature. Important factors to consider are reviewed alongside the specific models that allow these factors to be implemented.

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