Determination of Selected Nursing Transcripts for E-health/E-nursing Education | Chapter 04 | Issues and Development in Health Research Vol. 6

 This paper details research into the creation of an e-learning framework for nurses in underdeveloped nations to receive e-health education. Nursing and midwifery academic transcripts from many schools of nursing in different developing countries for nurses who graduated between 2005 and 2009 were analysed to see what they had to say about ICT and E-health/E-nursing courses. The content analysis mechanism was used to examine 24 transcripts from eight developing countries; this analysis revealed that no evidence of the concept of E-health/E-nursing as such was introduced in any of the transcripts examined; the vast majority (87 percent) of programmes had some kind of ICT- or computer-related modules, mostly concerning basic computer skills and IT fundamentals. The findings of the study support the inclusion of an E-health/E-nursing learning module in national nursing institutes' curriculum, and E-health literacy should be a requirement for general scope nurses/medical students' registration.

Author(S) Details

Rasmeh Al-Huneiti
Ministry of Public Health, Qatar and Brunel University, London, United Kingdom.

Mohammed Al Masarweh
King Abdulaziz University, K.S.A.

Ziad Hunaiti
Brunel University, London, United Kingdom.

Ebrahim Mansour
The Hashemite University, Zarqa, Jordan.

Wamadeva Balachanrdan
Brunel University, London, United Kingdom.

View Book:- https://stm.bookpi.org/IDHR-V6/article/view/4244

Supervised Linear Estimator Modeling (SLEMH) for Health Monitoring: Recent Perspectives | Chapter 1 | Recent Developments in Engineering Research Vol.2

 

In this research work, the E-Health monitoring system has been developed using fifteen health
indicators. These fifteen features were selected by following a Recursive Feature Elimination with
Cross-Validation method. The dataset was labeled as per medical limits and segregated into three
classes (normal, borderline and onset of unhealthy state). A rigorous process was followed at each
step to find out which linear estimator and model is suitable for classifying health condition of persons.
Five regression estimators were evaluated and it was found that logistic regression and linear
discriminant analysis methods are providing highest accuracy and lowest error for classifying three
health states of a patient.

Author(s) Details

Amandeep Kaur
Department of Computer Science and Engineering, Ikgptu Kapurthala, Punjab, India.

Anuj Kumar Gupta
Department of Computer Science and Engineering, CGC, Landran, Punjab, India.

View Book :- https://bp.bookpi.org/index.php/bpi/catalog/book/236

E-Health Status and Horizons | Chapter 16 | Challenges in Disease and Health Research Vol. 1

The article reviews status and development potential of E-Health systems with modular formation Electronic Healthcare Record. The focus is on the person-centered healthcare. Intellectual decision support modules built into Health information systems provide new possibilities. Computer-assisted module should be available for physicians, working with Electronic Medical Record, including during telemedicine consultations. In the meetings for difficult cases, the physicians are able to quickly obtain information from regional Cloud Optimized Storage and Computing. Telemedicine and mHealth are considered as the important components of E-Health for consultations and personalized remote monitoring of patients. Personal portable devices, as well as an electronic stethoscopes and specialized video cameras for obtaining objective information by distant consultants are used to monitor vital body parameters. Smart (digital) hospitals using cyber-physical systems will proceed to an increasingly high level of intellectual support of clinical processes. In prospect, E-Health will provide a comprehensive analysis of the health status of the population by physicians from different countries, based on cross-border medicine.

Author (s) Details

 B. A. Kobrinskii
Artificial Intelligence Problems Institute, Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia and Pirogov Russian National Research Medical University, Moscow, Russia.

View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/203