scholarly journals Smart healthcare

2019 ◽  
Vol 4 (2) ◽  
pp. 149-168 ◽  
Author(s):  
Sherali Zeadally ◽  
Farhan Siddiqui ◽  
Zubair Baig ◽  
Ahmed Ibrahim
Keyword(s):  
Health Care ◽  
Big Data ◽  
Healthcare Access ◽  
Health Care Information ◽  
Content Type ◽  
Health Technologies ◽  
Smart Healthcare ◽  
Health Care Information Systems ◽  
Big Data Technologies ◽  
Smart Health

Purpose The aim of this paper is to identify some of the challenges that need to be addressed to accelerate the deployment and adoption of smart health technologies for ubiquitous healthcare access. The paper also explores how internet of things (IoT) and big data technologies can be combined with smart health to provide better healthcare solutions. Design/methodology/approach The authors reviewed the literature to identify the challenges which have slowed down the deployment and adoption of smart health. Findings The authors discussed how IoT and big data technologies can be integrated with smart health to address some of the challenges to improve health-care availability, access and costs. Originality/value The results of this paper will help health-care designers, professionals and researchers design better health-care information systems.

ANN model for users’ perception on IOT based smart healthcare monitoring devices and its impact with the effect of COVID 19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kashmira Ganji ◽  
Sashikala Parimi
Keyword(s):  
Health Care ◽  
Health Care Services ◽  
Ann Model ◽  
Content Type ◽  
Care Services ◽  
Smart Healthcare ◽  
Smart Health ◽  
Health Care Monitoring ◽  
Monitoring Devices ◽  
The Way

Purpose COVID-19 was indeed a global epidemic that revolutionized the way of life, especially health-care services. The way health care will be delivered will undergo a dramatic change in the future. The aim is to analyse the increasing usage of health care systems along with digital technology and IoT especially during pandemic. Design Methodology Approach This research paper deals with users’ perception and their recommendation status of IoT-based smart health-care monitoring devices based on their perception, experience and level of importance to enhance the quality of life. An effective artificial neural networking (ANN)-based predictive model is designed to classify the user’s perception of usage of IoT-based smart health-care monitoring wearables based on their experience and knowledge. Findings The model developed has 96.7% accuracy. Among the various predictors chosen as inputs for the model, the findings indicate that self-comfort and trusted data from the device are of high priority. The present study focused only on some common factors derived from previous studies. Research Limitations Implications Although the performance of the proposed system was noticed to be good, the size of the sample is also limited to a few responses. Implications for future research and practices are discussed. Originality Value This is a novel study that aims to develop an ANN model on analyzing the user’s perception of IoT-based smart health-care wearables with the effect of COVID-19 pandemic. This paper elaborates on the ongoing efforts to restart the health-care services for survivability in the new normal situations.

Strategic issues of big data analytics applications for managing health-care sector: a systematic literature review and future research agenda

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajesh Kumar Singh ◽  
Saurabh Agrawal ◽  
Abhishek Sahu ◽  
Yigit Kazancoglu
Keyword(s):  
Health Care ◽  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Health Care Sector ◽  
Future Research ◽  
Research Gaps ◽  
Content Type

PurposeThe proposed article is aimed at exploring the opportunities, challenges and possible outcomes of incorporating big data analytics (BDA) into health-care sector. The purpose of this study is to find the research gaps in the literature and to investigate the scope of incorporating new strategies in the health-care sector for increasing the efficiency of the system.Design/methodology/approachFora state-of-the-art literature review, a systematic literature review has been carried out to find out research gaps in the field of healthcare using big data (BD) applications. A detailed research methodology including material collection, descriptive analysis and categorization is utilized to carry out the literature review.FindingsBD analysis is rapidly being adopted in health-care sector for utilizing precious information available in terms of BD. However, it puts forth certain challenges that need to be focused upon. The article identifies and explains the challenges thoroughly.Research limitations/implicationsThe proposed study will provide useful guidance to the health-care sector professionals for managing health-care system. It will help academicians and physicians for evaluating, improving and benchmarking the health-care strategies through BDA in the health-care sector. One of the limitations of the study is that it is based on literature review and more in-depth studies may be carried out for the generalization of results.Originality/valueThere are certain effective tools available in the market today that are currently being used by both small and large businesses and corporations. One of them is BD, which may be very useful for health-care sector. A comprehensive literature review is carried out for research papers published between 1974 and 2021.

Health Care Information Systems: A Crisis Approach

2018 ◽  
pp. 233-244
Author(s):  
Daniela America da Silva ◽  
Gildarcio Sousa Goncalves ◽  
Samara Cardoso dos Santos ◽  
Victor Ulisses Pugliese ◽  
Julhio Navas ◽  
...  
Keyword(s):  
Health Care ◽  
Information Systems ◽  
Health Care Information ◽  
Health Care Information Systems ◽  
Care Information

Establishing Synergy between Cloud Computing and Colloborative Technology in Medical Informatics

2015 ◽  
pp. 221-236
Author(s):  
N. Raghavendra Rao
Keyword(s):  
Health Care ◽  
Cloud Computing ◽  
Health Care Sector ◽  
Design Management ◽  
Health Care Information ◽  
Knowledge Based ◽  
Service Information ◽  
Health Care Information Systems ◽  
Care Information ◽  
Use Of Health Care

The Health care sector needs information driven service. Information is a major resource which is important to health of individual patient and the success of hospitals. The understanding between medical professionals and software professionals can be a main force behind the design, management and use of health care data and information. Health care information systems need to move from traditional integrated database to knowledge based database. Generally, data in health care sector is available as disperse elements; when it is compiled into a meaningful pattern, then it becomes information. And as information is converted into valid basis for action, then it becomes knowledge. This chapter explains making use of the concepts such as cloud computing, pervasive computing, virtual reality along with the other collaborative technology which will facilitate to create knowledge based health care system.

Sign in / Sign up

Export Citation Format

Share Document