Empowering Chronic Kidney Disease Patients: A Personalized Electronic Health Record System for Enhanced Care and Management

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Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:
Introduction

Electronic health records are critical for diagnosis and treatment, but their development can be challenging and time-consuming process. Personal health records provide a practical and accessible solution by empowering patients to take an active role in their care. This study presents a personalized electronic health record system for chronic kidney disease patients, highlighting its potential benefits on patient care.

Material and Methods

In 2021, a practical study was conducted to develop and evaluate a personal health records software specifically for patients with chronic kidney disease. The analysis phase involved a literature review and validation process to review the dataset and key software functions. The study primarily focuses on the implementation process and exploratory usability evaluation results of the software. The development and evaluation process involved a health information management specialist and a medical informatics expert, and the software was evaluated by health information technology students using the Nielsen usability evaluation checklist.

Results

In the evaluation of the produced software, 12 issues were identified, of which three were related to the principle of user freedom and mastery over the system, three were related to the principle of consistency and standards, one was related to the principle of aiding users in diagnosis, and five were related to error prevention.

Conclusion

This study emphasizes the importance of compliance with clinical standards and user experience in developing successful personal health record software. Previous failures in similar systems have been attributed to non-compliance and unmet user expectations. The study aims to identify obstacles and improve the personal health records production process.

Language:
English
Published:
Frontiers in Health Informatics, Volume:13 Issue: 1, 2024
Page:
194
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