Artificial neural networks in diabetes health care professional education: Effective Diabetes Education Now (EDEN)

2017 ◽  
Vol 34 (8) ◽  
pp. 268-270a
Author(s):  
Petra Jones ◽  
Melanie Davies ◽  
Kamlesh Khunti ◽  
Sam Seidu ◽  
Sudesna Chatterjee
Keyword(s):  
Neural Networks ◽  
Health Care ◽  
Artificial Neural Networks ◽  
Health Care Professional ◽  
Professional Education ◽  
Diabetes Education ◽  
Artificial Neural ◽  
Health Care Professional Education

Efficiency in health care professional education

2018 ◽  
Vol 52 (3) ◽  
pp. 347-347
Author(s):  
Kieran Walsh ◽  
Jennifer Cleland ◽  
Stephen Maloney
Keyword(s):  
Health Care ◽  
Health Care Professional ◽  
Professional Education ◽  
Health Care Professional Education

scholarly journals The use of Artificial Neural Networks in the diagnosis of manageable factors on Brazilian Primary Health Care

2021 ◽  
Vol 10 (1) ◽  
pp. e31010111740
Author(s):  
Kerla Fabiana Dias Cabral ◽  
Fábio Ribeiro Cerqueira ◽  
Rodrigo Siqueira-Batista ◽  
Marco Aurélio Marques Ferreira ◽  
Bruna Rodrigues de Freitas
Keyword(s):  
Neural Networks ◽  
Primary Care ◽  
Health Care ◽  
Artificial Neural Networks ◽  
Primary Health Care ◽  
Health Sector ◽  
Welfare Programs ◽  
Primary Health ◽  
The Social ◽  
Artificial Neural

The social determinants of health are relevant in the main strategies of Primary Health Care. However, it is known the difficulties of the health sector to overcome the factors that negatively interfere with the health of the population. Thus, it was aimed to create a computer model to present in detail the factors that somehow are related to the Primary Health Care, enabling public health managers to make decisions efficiently. Using artificial neural networks, it was possible to create a classifier model that could show which variables are related to the efficiency in Primary Care and which lead to inefficiency. Moreover, it was used the NICeSim simulator as a tool to evaluate the behavior of each variable identified as relevant to the efficiency in Primary Care of cities. The results demonstrate that the created model was superior to previously proposed models. Furthermore, our model has been demonstrated to be very effective in identifying variables that affect Primary Health. The created model shows that factors, such as illiteracy and welfare programs, considerably affect the efficiency of health care, reinforcing the argument that the focus of the public policies should be dealt in an intersectoral way, improving the factors that positively influence the population health.

scholarly journals Drømmen om sammenhæng

2017 ◽  
Vol 13 (25) ◽  
pp. 25-35
Author(s):  
Mari Holen ◽  
Sine Lehn-Christiansen
Keyword(s):  
Health Care ◽  
Nursing Education ◽  
Health Care Professional ◽  
Continuity Of Care ◽  
Clinical Education ◽  
Professional Education ◽  
Theory And Practice ◽  
Health Care Professional Education

Formålet med denne artikel er at undersøge de aktuelle bestræbelser på at skabe sammenhæng i de sundhedsfaglige professionsuddannelser generelt og specifikt i sygeplejerskeuddannelsen. Vi ser på, hvordan sammenhæng italesættes i politiske dokumenter, der dannede grundlag for 2016-revisionen af de sundhedsfaglige professions-bacheloruddannelser. Artiklen identificerer fire forskellige problematiseringer af sammenhæng: 1) sammenhæng mellem professioner og sektorer, 2) sammenhængende patientforløb, 3) sammenhæng mellem uddannelse og arbejdsmarked og endelig 4) sammenhæng mellem teori og praktik. Artiklen viser, at sammenhæng mellem teori og praksis italesættes som den dominerende udfordring og problemet, som reelt skygger for andre væsentlige problemer i den kliniske uddannelse.The purpose of this article is to investigate current efforts to create coherence in health care professional education in general and specific in nursing education. We look at how coherence appears in political documents that formed the basis for the 2016 review of health care professional bachelor programs. The article identifies four different problematizations of coherence; 1) Connection between professions and sectors 2) Continuity of care 3) Connection between education and labor and finally 4) Correlation between theory and practice. The article shows that correlation between theory and practice is described as the dominant challenge that overshadows other important problems in clinical education.

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