Development and Usability Evaluation of a Telemedicine System for Management and Monitoring of Patients with Diabetic Foot

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Abstract

Objectives: The aim of the present study was to develop and evaluate the usability of a telemedicine system for management and monitoring of patients with diabetic foot. Methods: This study was conducted in four phases. In the first phase, the information needs and characteristics required to design the telemedicine system were identified based on a literature review. Then, in a two-stage Delphi survey, 15 experts approved the identified information needs and characteristics. The prototype telemedicine system was then designed. In the third phase, system usability was evaluated through a semi-structured interview. In the fourth phase, users’ satisfaction with the designed system was analyzed. Results: Out of 115 information needs and required characteristics, 95 were considered in the system design. Eight main pages for enabling patient-physician interactions and physician-physician interactions, monitoring the patient and controlling the disease process, providing medical consultation, and prescribing medications were considered. In the third phase, 26 distinct problems were identified. However, 75% of the participants were very satisfied with the system. Conclusions: This study presents an attempt to design and evaluate a telemedicine system for the management and monitoring of patients with diabetic foot. In this system, patients receiving medical services or physicians who encounter rare cases can send the complete medical history, clinical test results, and videos and images related to the foot to specialist physicians. After examining the medical history or images and videos, the physician can provide the necessary medication prescriptions and laboratory tests or other recommendations.

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APA

Bahaadinbeigy, K., Sheikhtaheri, A., Fatehi, F., & Moulaei, K. (2022). Development and Usability Evaluation of a Telemedicine System for Management and Monitoring of Patients with Diabetic Foot. Healthcare Informatics Research, 28(1), 77–88. https://doi.org/10.4258/hir.2022.28.1.77

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