Affiliation:
1. Department of Adult Health Nursing, Faculty of Nursing, Al al-Bayt University, Mafraq, Jordan
2. School of Nursing,
The University of Jordan, Amman, Jordan
Abstract
Background:
Diabetes is an endocrine chronic condition with a high prevalence rate
among the population that needs a complex management process. However, many advanced health
care technologies were evolving to help patients achieve their centered care and self-management
using real-time proactive techniques through interactive systems to detect early complications and
prevent them. The purpose of the current review is to assess the findings of literature reviews of the
main interventions that used a real-time partially automated interactive systems to interpret patient’s
data including biological information, exercise, and dietary content calculated from a message
sent by the patient and respond with actionable findings, helping patients to achieve diabetes
self-management.
Methods:
PubMed\ MEDLINE, CINAHL, Google Scholar, and Research Gate were used to search
the literature for studies published between the periods 2015 to 2021.
Results:
Eleven articles were included in the literature review. The retrieved studies approved the
significant effect of achieving diabetic self-management by utilizing Information Technology (IT)
with the Natural Language Processing (NLP) methods by sending a real-time, partially automated
interactive system to interpret patient's biological information, physical activity, and dietary content
calculated using a message sent by patients to achieve their self-management.
Conclusion:
Improved blood glucose levels, glycemic control, better readings of blood pressure,
and lifestyle improvement including dietary intake and physical activity were offered using continuous
real-time messages to improve their health outcomes.
Publisher
Bentham Science Publishers Ltd.
Subject
Endocrinology,Endocrinology, Diabetes and Metabolism
Cited by
2 articles.
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