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. 2019:1171:85-103.
doi: 10.1007/978-3-030-24281-7_8.

Recommended Workflow Methodology in the Creation of an Interactive Application for Patient's Diagnosed with Pancreatic Cancer

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Recommended Workflow Methodology in the Creation of an Interactive Application for Patient's Diagnosed with Pancreatic Cancer

Olivia Knight et al. Adv Exp Med Biol. 2019.

Abstract

Pancreatic cancer is a leading cause of cancer related deaths in the UK. However, public knowledge and understanding of the pancreas is generally poor, therefore pancreatic cancer patients often have to contend with understanding large quantities of new information at a pivotal time in their lives.Despite utilisation of digital visualisation techniques in medical education, very rarely are they being used to help clinicians communicate information to their patients. Specifically, there is no literature describing use of an interactive digital application for use by healthcare professionals to aid discussions specific to pancreatic cancer.Therefore, we developed a workflow methodology, and created an interactive application, thus creating a tool that could help clinicians explain pancreatic cancer anatomy, and staging, to their patients. Three-dimensional (3D) digital models were created using ZBrush and Autodesk 3DS Max, and exported into the Unity game engine. Within Unity, the interactivity of models was maximally utilised, and a simple user interface created.The application centres on anatomically accurate, visually simple, 3D digital models, demonstrating a variety of common scenarios that arise in pancreatic cancer. The design of the application is such that the clinician can select which model is relevant to the patient, and can give an explanation of the anatomy and disease process at a speed and level appropriate to that person. This simple, robust and effective workflow methodology for the development of an application could be useful in any clinical setting that needs visual and interactive tools to enhance patient understanding of a clinical condition.

Keywords: Blended learning; Cancer; Digital model; Pancreas; Patients.

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