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MHI Thesis Defence - A Digital Health based Personalized Preoperative Patient Education System for Patients Undergoing TAVI Surgery

Who: Ali Naserian Mojadam

Title: A Digital Health based Personalized Preoperative Patient Education System for Patients Undergoing TAVI Surgery

Examining Committee:

Dr. Syed Sibte Raza Abidi - Faculty of Computer Science (Supervisor)
Dr. Nadeem Najaf - Faculty of Medicine (Co-Supervisor)
Dr. Riyad Alshammari - Faculty of Computer Science (Reader)
Dr. Samina Abidi - Faculty of Medicine (Reader)

Chair: Dr. Qigang Gao - Faculty of Computer Science

Abstract:

Personalized Patient education is a critical factor in the healthcare service delivery as it contributes to better management of diseases and ultimately enhanced clinical outcomes.  TAVI (Trans-catheter Aortic Valve Implantation) is a standard cardiac procedure for patients with severe aortic stenosis. TAVI is a minimally invasive procedure, however; this procedure is still associated with a number of considerable risks based on the condition of the patient before performing this procedure. To obtain an informed consent, it is important to appropriately inform patients and their families about the risks and benefits of TAVI. In this thesis, our research objective is to leverage digital health technologies to develop a “proof-of-concept” personalized preoperative patient education system for TAVI patients “TAVI System”. An iterative user-centered approach is used to develop the web-based TAVI system, and its knowledge content is based on digitized evidence and clinical expertise. We use a knowledge management approach to model, computerize, and integrate TAVI patient assessment to generate personalized educational messages for TAVI patients. For evaluating TAVI system, we used scenario-based evaluation to ensure the correctness of the outputs of the system based on the knowledge obtained from experts.

 

Time

Location

Room 311, Goldberg Computer Science Building