Semantic Interoperability of e-Health Systems Using Dialogue-Based Mapping of Ontologies in Diabetes Management

2012 ◽  
pp. 305-320
Author(s):  
Pronab Ganguly
Keyword(s):  
Health Systems ◽  
Diabetes Management ◽  
Semantic Interoperability

scholarly journals 223 Prevalence of Depression Among People with Diabetes; Comparative Analysis of Older Adults Across Three Health Systems Using Nationally Representative Data

2019 ◽  
Vol 48 (Supplement_3) ◽  
pp. iii1-iii16
Author(s):  
Niamh McGrath ◽  
Sheena McHugh ◽  
Elaine Toomey ◽  
Patricia Kearney
Keyword(s):  
Older Adults ◽  
Longitudinal Study ◽  
Health Systems ◽  
Diabetes Management ◽  
A Priori ◽  
Global Challenge ◽  
Depression Prevalence ◽  
English Sample ◽  
Diabetes Status ◽  
Nationally Representative

Abstract Background The co-occurrence of depression and diabetes is an emerging global challenge but any association is influenced by variations in prevalence, study design and measure used. We compared depression prevalence in older adults with and without diabetes across three health systems using a validated measure to examine the causal association between diabetes and depression. Methods We used data of adults aged over 49 years, from three nationally representative ageing datasets; The Irish Longitudinal Study on Ageing (TILDA), the English Longitudinal Study on Ageing (ELSA) and the Health and Retirement Study (HRS). Data were collected during 2009–2011 (TILDA), and 2010 (ELSA, HRS). The 8-item CESD scale categorised depression using recommended cut-off scores of < 3 for ELSA and HRS and < 8 for TILDA. Self-reported individual, environmental, behavioural risk, and health system exposure variables were selected a-priori using literature and a directed acyclic graph. Prevalence was presented as a percentage with corresponding 95% confidence intervals. Binomial logistic regression examined the odds of depression by diabetes status. Data were analysed in Stata v15 using the ‘svy’ function. Results Diabetes prevalence (Ireland;8%[(95%CI:7.5–8.6), England;11%(95%CI:10.6–12.0) and USA;19%[(95%CI:18.8-20.1);p<0.001]) and depression prevalence (Ireland;10%(95%CI:9.0–10.6), England;16%(95%CI:15.3-16.9), USA;14%[(95%CI:13.5-14.7);p<0.001] varied across countries. Depression was consistently higher among people with versus without diabetes (Ireland;14%(95%CI:10.9-16.6)vs.9%(95%CI:8.7–10.3),p=0.001], England;25%(95%CI:21.7-27.7)vs.15%[(95%CI:14.2-15.9),p≤0.001] and USA;19%(95%CI:16.9-20.0)vs.13%[(95%CI:12.4-13.8);p≤0.001]. The odds of depression were significantly higher in people with versus without diabetes (Ireland;OR=1.5(95%CI:1.2-1.9);p=0.001, England;OR=1.8(95%CI:1.5–2.2);p<0.000, USA;OR=1.5(95%1.3-1.7);p<0.000), but only remained significant in the English sample after adjustment; (Ireland;OR=1.2(0.8-1.6);p=0.356, England;OR=1.3(1.0–1.6);p=0.045, USA;OR=1.0(0.9-1.1);p=0.898). Conclusion Among older adults in different health systems, depression was consistently higher among people with versus without diabetes. The findings support incorporation of holistic approaches to diabetes management across health systems.

Personal Health Systems for Diabetes Management, Early Diagnosis and Prevention

2019 ◽  
pp. 191-218 ◽  
Author(s):  
Konstantia Zarkogianni ◽  
Konstantina S. Nikita
Keyword(s):  
Early Diagnosis ◽  
Health Systems ◽  
Prediction Models ◽  
Diabetes Management ◽  
Cost Effective ◽  
Future Research ◽  
Personal Health ◽  
Medical Decision Support ◽  
Risk Assessment Models ◽  
Medical Decision Support Systems

This chapter aims at the presentation and comparative assessment of tools and methodologies used for the development of Personal Health Systems (PHSs) for diabetes management, early diagnosis and prevention. Medical decision support systems such as glucose prediction models, risk assessment models for long-term diabetes complications, models for early diagnosis of diabetes and closed-loop glucose controllers along with integrated systems for diabetes management are described. The outcomes of a wide range of research studies demonstrate the feasibility of providing safe, reliable and cost-effective solutions towards improving patients' quality of life through the application of PHSs. Specific limitations that prevent these systems from being fully adopted in clinical practice are highlighted, while challenges and future research directions are summarized.

Personal Health Systems for Diabetes Management, Early Diagnosis and Prevention

2016 ◽  
pp. 465-492
Author(s):  
Konstantia Zarkogianni ◽  
Konstantina S. Nikita
Keyword(s):  
Early Diagnosis ◽  
Health Systems ◽  
Prediction Models ◽  
Diabetes Management ◽  
Cost Effective ◽  
Future Research ◽  
Personal Health ◽  
Medical Decision Support ◽  
Risk Assessment Models ◽  
Medical Decision Support Systems

This chapter aims at the presentation and comparative assessment of tools and methodologies used for the development of Personal Health Systems (PHSs) for diabetes management, early diagnosis and prevention. Medical decision support systems such as glucose prediction models, risk assessment models for long-term diabetes complications, models for early diagnosis of diabetes and closed-loop glucose controllers along with integrated systems for diabetes management are described. The outcomes of a wide range of research studies demonstrate the feasibility of providing safe, reliable and cost-effective solutions towards improving patients' quality of life through the application of PHSs. Specific limitations that prevent these systems from being fully adopted in clinical practice are highlighted, while challenges and future research directions are summarized.

scholarly journals Cross border semantic interoperability for learning health systems: The EHR4CR semantic resources and services

2016 ◽  
Vol 1 (1) ◽  
pp. e10014 ◽  
Author(s):  
Christel Daniel ◽  
David Ouagne ◽  
Eric Sadou ◽  
Nicolas Paris ◽  
Sajjad Hussain ◽  
...  
Keyword(s):  
Health Systems ◽  
Semantic Interoperability ◽  
Cross Border ◽  
Semantic Resources

The use of standards in embedded devices to achieve end to end semantic interoperability on health systems

2018 ◽  
Vol 57 ◽  
pp. 68-73 ◽  
Author(s):  
María A. Cosío-León ◽  
D. Ojeda-Carreño ◽  
J.I. Nieto-Hipólito ◽  
J.A. Ibarra-Hernández
Keyword(s):  
Health Systems ◽  
Semantic Interoperability ◽  
Embedded Devices ◽  
End To End
Sign in / Sign up

Export Citation Format

Share Document