Ali Naserian Mojadam, Najaf Nadeem, Hussein Beydoun, Samina R Abidi, Ali Rizvi and Syed SR Abidi
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. Trans-Catheter Aortic Valve Implantation (TAVI) is a standard cardiac procedure for patients with severe aortic stenosis. TAVI is a minimally invasive procedure, however; this procedure is still associated with considerable risks based on the condition of the patient before performing TAVI. To obtain an informed consent, it is important to appropriately inform patients and their families about the risks and considerations associated with TAVI. Our research objective is to leverage digital health technologies to develop a personalized preoperative patient education system for TAVI patients. An iterative user-Centered approach was used to develop “TAVI System”, and its knowledge content is based on digitized evidence and clinical expertise. We used a knowledge management approach to model, computerize, and integrate TAVI patient assessment to generate personalized educational messages.
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