Recent Advancement in Information Technology in Healthcare and Patient Management

Submission Deadline: 31 January 2022 (closed)

Guest Editors

Dr. S. L. Jayalakshmi, Vellore Institute of Technology, India.
Dr. R. Vedhapriyavadhana, Vellore Institute of Technology, India.
Dr. Girija R, VIT University, India.
Dr. Vimal Kumar Stephen, University of Technology and Applied Sciences, Sultanate of Oman.

Summary

Telemedicine is the use of electronic communications and information technologies to provide clinical Services when participants are at different locations. This term is often used to encompass a broader application of technologies to distance Education, consumer outreach, and other applications wherein electronic communications and information technologies are used to support healthcare services and health information technologies are an enabling component to the delivery of health services over distances, providing fundamental tools and systems.

In short, health information technologies greatly enhance the utility of telemedicine. Electronic health (eHealth) becomes a very important area, involving multiple fields, such as health, healthcare, public health, medical science, health service, data management, image processing, telecommunication, wireless network, operational research, etc.

Importantly, digitalisation of healthcare provides rich sources of data collection and supports standardised approaches that reduce variables and that, in turn, enables machine learning and artificial intelligence (AI) applications. Network development creates new levels of support for trainees and patients and with data labelling we have increased possibilities for personalised feedback that will result in continuous incremental improvements. Telemedicine is rapidly advancing in many areas with developments in AI, wearables, and network development Telemedicine also has potential to reduce costs as well as improve accessibility and collaborative networks built by doctors and patients will drive both understanding and innovation in healthcare.


Keywords

• eHealth Data Management
• Prevention of Medical Errors, transmission of still images
• Reduction of Healthcare Costs
• Medical resource allocation, Optimization, and Simulation
• eHealth education issues
• E-health Information Retrieval, Analysis, warehouses, visualization and prediction
• Security, Privacy and Trust in E-health
• Lessons Learned from E-health Information System Implementation
• Rural e-HealthCare Management and text mining
• Healthcare Cost & Financial Analysis
• Context-awareness for Smart Space in Healthcare
• Mobile & Videoconferencing

Published Papers


  • Open Access

    ARTICLE

    Diagnosing Breast Cancer Accurately Based on Weighting of Heterogeneous Classification Sub-Models

    Majdy Mohamed Eltayeb Eltahir, Tarig Mohammed Ahmed
    Computer Systems Science and Engineering, Vol.42, No.3, pp. 1257-1272, 2022, DOI:10.32604/csse.2022.022942
    (This article belongs to this Special Issue: Recent Advancement in Information Technology in Healthcare and Patient Management)
    Abstract In developed and developing countries, breast cancer is one of the leading forms of cancer affecting women alike. As a consequence of growing life expectancy, increasing urbanization and embracing Western lifestyles, the high prevalence of this cancer is noted in the developed world. This paper aims to develop a novel model that diagnoses Breast Cancer by using heterogeneous datasets. The model can work as a strong decision support system to help doctors to make the right decision in diagnosing breast cancer patients. The proposed model is based on three datasets to develop three sub-models. Each sub-model works independently. The final… More >

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