Application of Big Data in Healthcare

2016 ◽  
pp. 149-168
Author(s):  
Md Rakibul Hoque ◽  
Yukun Bao
Keyword(s):  
Health Care ◽  
Big Data ◽  
Data Management ◽  
Healthcare Spending ◽  
Well Being ◽  
Healthcare Industry ◽  
The World ◽  
Hospital Systems ◽  
New Challenges

This chapter investigates the application, opportunities, challenges and techniques of Big Data in healthcare. The healthcare industry is one of the most important, largest, and fastest growing industries in the world. It has historically generated large amounts of data, “Big Data”, related to patient healthcare and well-being. Big Data can transform the healthcare industry by improving operational efficiencies, improve the quality of clinical trials, and optimize healthcare spending from patients to hospital systems. However, the health care sector lags far behind compared to other industries in leveraging their data assets to improve efficiencies and make more informed decisions. Big Data entails many new challenges regarding security, privacy, legal concerns, authenticity, complexity, accuracy, and consistency. While these challenges are complex, they are also addressable. The predominant ‘Big Data' Management technologies such as MapReduce, Hadoop, STORM, and others with similar combinations or extensions should be used for effective data management in healthcare industry.

Application of Big Data in Healthcare

Big Data ◽  
2016 ◽  
pp. 1189-1208 ◽  
Author(s):  
Md Rakibul Hoque ◽  
Yukun Bao
Keyword(s):  
Health Care ◽  
Big Data ◽  
Data Management ◽  
Healthcare Spending ◽  
Well Being ◽  
Healthcare Industry ◽  
The World ◽  
Hospital Systems ◽  
New Challenges

This chapter investigates the application, opportunities, challenges and techniques of Big Data in healthcare. The healthcare industry is one of the most important, largest, and fastest growing industries in the world. It has historically generated large amounts of data, “Big Data”, related to patient healthcare and well-being. Big Data can transform the healthcare industry by improving operational efficiencies, improve the quality of clinical trials, and optimize healthcare spending from patients to hospital systems. However, the health care sector lags far behind compared to other industries in leveraging their data assets to improve efficiencies and make more informed decisions. Big Data entails many new challenges regarding security, privacy, legal concerns, authenticity, complexity, accuracy, and consistency. While these challenges are complex, they are also addressable. The predominant ‘Big Data' Management technologies such as MapReduce, Hadoop, STORM, and others with similar combinations or extensions should be used for effective data management in healthcare industry.

scholarly journals Quality of Care and Quality of Life: Convergence or Divergence?

2014 ◽  
Vol 7 ◽  
pp. HSI.S13283 ◽  
Author(s):  
Wadi B. Alonazi ◽  
Shane A. Thomas
Keyword(s):  
Quality Of Life ◽  
Health Care ◽  
Health Policy ◽  
Quality Of Care ◽  
Effective Treatment ◽  
Well Being ◽  
World Health ◽  
The World ◽  
The Impact

The aim of this study was to explore the impact of quality of care (QoC) on patients’ quality of life (QoL). In a cross-sectional study, two domains of QoC and the World Health Organization Quality of Life-Bref questionnaire were combined to collect data from 1,059 pre-discharge patients in four accredited hospitals (ACCHs) and four non-accredited hospitals (NACCHs) in Saudi Arabia. Health and well-being are often restricted to the characterization of sensory qualities in certain settings such as unrestricted access to healthcare, effective treatment, and social welfare. The patients admitted to tertiary health care facilities are generally able to present themselves with a holistic approach as to how they experience the impact of health policy. The statistical results indicated that patients reported a very limited correlation between QoC and QoL in both settings. The model established a positive, but ultimately weak and insignificant, association between QoC (access and effective treatment) and QoL ( r = 0.349, P = 0.000; r = 0.161, P = 0.000, respectively). Even though the two settings are theoretically different in terms of being able to conceptualize, adopt, and implement QoC, the outcomes from both settings demonstrated insignificant relationships with QoL as the results were quite similar. Though modern medicine has substantially improved QoL around the world, this paper proposes that health accreditation has a very limited impact on improving QoL. This paper raises awareness of this topic with multiple healthcare professionals who are interested in correlating QoC and QoL. Hopefully, it will stimulate further research from other professional groups that have new and different perspectives. Addressing a transitional health care system that is in the process of endorsing accreditation, investigating the experience of tertiary cases, and analyzing deviated data may limit the generalization of this study. Global interest in applying public health policy underlines the impact of such process on patients’ outcomes. As QoC accreditation does not automatically produce improved QoL outcomes, the proposed study encourages further investigation of the value of health accreditation on personal and social well-being.

Healthcare Data Analysis in the Internet of Things Era

2018 ◽  
pp. 1984-1994 ◽  
Author(s):  
George Tzanis
Keyword(s):  
Health Care ◽  
Cloud Computing ◽  
Big Data ◽  
Missing Values ◽  
The Internet ◽  
Healthcare Data ◽  
Concepts Of Technology ◽  
New Challenges ◽  
The Internet Of Things

Undoubtedly the IoT is the future of technology, which can provide manifold benefits to health care. However, the challenges posed are also great. Concerning the analysis of healthcare data, various tools have been introduced to deal efficiently with the large volumes as well as the various peculiarities of data (e.g. missing values, noise, etc.). Most popular representative of these modern tools is data mining, or the KDD process, strictly speaking. Although the KDD process has provided a lot of solutions, in many cases these techniques have to be scaled in order to deal with the new challenges posed by the big data paradigm. Cloud computing is the modern infrastructure that can provide the means to efficiently manage big data. Both cloud computing and the IoT are very promising concepts of technology and their complementary characteristics assure that their integration, Cloud-IoT, is very promising too. The introduction of the Cloud-IoT paradigm in the healthcare domain can offer manifold benefits and opportunities that will considerably improve the quality of health care.

Internet of Things and Data Science in Healthcare

2021 ◽  
pp. 1919-1932
Author(s):  
George Tzanis ◽  
Ourania-Ioanna Fotopoulou
Keyword(s):  
Data Mining ◽  
Health Care ◽  
Cloud Computing ◽  
Big Data ◽  
Data Science ◽  
Edge Computing ◽  
Healthcare Data ◽  
Concepts Of Technology ◽  
New Challenges

Undoubtedly the IoT is the future of technology, which can provide manifold benefits to health care. However, the posed challenges are also great. Concerning the analysis of healthcare data, various tools have been introduced to deal efficiently with the large volumes as well as the various peculiarities of data. The most popular representative of these modern tools is data mining. Although the KDD process has provided a lot of solutions, these techniques have to be scaled in order to deal with the new challenges posed by the big data paradigm. Cloud computing, as well as edge computing are the modern infrastructures that can provide the means to efficiently manage big data. Both cloud/edge computing and the IoT are very promising concepts of technology and their complementary characteristics assure that their integration, Cloud-IoT, provides a great potential of applications. The introduction of the Cloud-IoT paradigm in the healthcare domain can offer manifold benefits and opportunities that will considerably improve the quality of health care.

Data Warehouses and Big Data

2020 ◽  
Vol 10 (3) ◽  
pp. 1-13
Author(s):  
Hamid Naceur Benkhaled ◽  
Djamel Berrabah ◽  
Faouzi Boufares
Keyword(s):  
Big Data ◽  
Data Quality ◽  
Data Warehouse ◽  
Missing Values ◽  
Poor Quality ◽  
The Other ◽  
The World ◽  
New Challenges ◽  
Data Requirements

Before the arrival of the Big Data era, data warehouse (DW) systems were considered the best decision support systems (DSS). DW systems have always helped organizations around the world to analyse their stored data and use it in making decisive decisions. However, analyzing and mining data of poor quality can give the wrong conclusions. Several data quality (DQ) problems can appear during a data warehouse project like missing values, duplicates values, integrity constrains issues and more. As a result, organizations around the world are more aware of the importance of data quality and invest a lot of money in order to manage data quality in the DW systems. On the other hand, with the arrival of BD, new challenges have to be considered like the need for collecting the most recent data and the ability to make real-time decisions. This article provides a survey about the exiting techniques to control the quality of the stored data in the DW systems and the new solutions proposed in the literature to face the new Big Data requirements.

Effect of Fluoride Mouthwash in Iranian Schools: Treatment or Exacerbation of the Disease

2019 ◽  
Author(s):  
Mohammad Karimi
Keyword(s):  
Quality Of Life ◽  
Health Care ◽  
Oral Health ◽  
Significant Role ◽  
Oral Hygiene ◽  
Easy Access ◽  
Tooth Decay ◽  
Insufficient Attention ◽  
The World

Dental and oral health is an important part that plays a significant role in the quality of life of people in our society, especially children, but due to insufficient attention, tooth decay in the world is increasing every year. Promoting oral hygiene requires the people's easy access to primary oral health care and the use of these services should be classified.

scholarly journals COVID-19 and Quality of Life: Twelve Reflections

2021 ◽  
Author(s):  
Daniel T. L. Shek
Keyword(s):  
Quality Of Life ◽  
Digital Divide ◽  
Well Being ◽  
Sudden Onset ◽  
Economic Disadvantage ◽  
Conflict Prevention ◽  
Collective Rights ◽  
The World ◽  
Life Issues

AbstractCOVID-19 has severely affected the world since December 2020. Because of its sudden onset and highly contagious nature, the world has responded in a “crisis management” manner. With effective vaccines almost available, it is appropriate at this time to have some reflections about COVID-19 in relation to the quality of life issues. In this paper, we highlight twelve issues for reflection, which can help us better prepared for future pandemics. These include: digital divide, health inequality, gender inequality, economic disadvantage, family well-being, impact on holistic well-being, economic development versus saving lives, consumption versus environmental protection, individual rights versus collective rights, international collaboration versus conflict, prevention of negative well-being, and promotion of positive well-being.

Quality of life and adherence to mediterranean diet among type 2 diabetes mellitus patients of a primary health care clinic in Hebron city, Palestine

2021 ◽  
pp. 1-10
Author(s):  
Manal Badrasawi ◽  
May Hamdan ◽  
Mohammad Al Tamimi
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Health Care ◽  
Primary Health Care ◽  
Mediterranean Diet ◽  
Well Being ◽  
Care Clinic ◽  
Primary Health Care Clinic ◽  
Primary Health

BACKGROUND: Diabetes mellitus (DM) is a lifelong metabolic disease with a high rate of mortality and morbidity. Uncontrolled and untreated diabetes results in serious complications that subsequently cause patients’ quality of life (QoL) to deteriorate. Adherence to Mediterranean diet (MD) may relieve the complications of diabetes, thereby improving the quality of life for these patients. OBJECTIVE: The aim of this study was to assess the QoL of DM patients who adhered to MD. METHODS: In this cross-sectional study, we examined the QoL and MD data of 106 DM II patients being treated at a primary health care clinic in Hebron. We used the SF-36 questionnaire to measure the patients’ QoL and the MEDAS tool to assess their MD adherence. We also recorded their anthropometric measurements, abdominal obesity, lifestyle habits and blood biochemical results. RESULTS: The sample comprised male and female DM II patients between the ages of 35 and 72, with their mean age being 55.8±10.24. Patients’ QoL scores showed a significant relationship with three BMI categories, i.e., total QoL score, physical function, and pain domains (p <  0.05). In terms of diet, high adherence to MD had a positive impact on all domains and on patients’ total QoL with significant differences in physical functioning, emotional well-being, social functioning and pain domains. CONCLUSION: Patients’ QoL domains were relatively low and highly affected by DM II. Patients with greater MD adherence reported higher scores in all QoL domains. Significantly higher scores were noted for the physical, social and pain domains. Hence, MD is a recommended dietary pattern for DM II patients to achieve a better QoL.

scholarly journals Towards quality-of-service driven consistency for Big Data management

2014 ◽  
Vol 1 (1/2) ◽  
pp. 74 ◽  
Author(s):  
Álvaro García Recuero ◽  
Sérgio Esteves ◽  
Luís Veiga
Keyword(s):  
Quality Of Service ◽  
Big Data ◽  
Data Management

Risks of the Digitalization of Life of the Population and Ways of Decreasing Them

2021 ◽  
Vol 13 (4-1) ◽  
pp. 180-203
Author(s):  
Elena Stukalenko ◽  
Keyword(s):  
Quality Of Life ◽  
Digital Technologies ◽  
Well Being ◽  
Digital Economy ◽  
Digital Transformation ◽  
Negative Consequences ◽  
Short Period ◽  
The World ◽  
The Impact

Digital technologies, ubiquitous in our daily life, have radically changed the way we work, communicate, and consume in a short period of time. They affect all components of quality of life: well-being, work, health, education, social connections, environmental quality, the ability to participate and govern civil society, and so on. Digital transformation creates both opportunities and serious risks to the well-being of people. Researchers and statistical agencies around the world are facing a major challenge to develop new tools to analyze the impact of digital transformation on the well-being of the population. The risks are very diverse in nature and it is very difficult to identify the key factor. All researchers conclude that secure digital technologies significantly improve the lives of those who have the skills to use them and pose a serious risk of inequality for society, as they introduce a digital divide between those who have the skills to use them and those who do not. In the article, the author examines the risks created by digital technologies for some components of the quality of life (digital component of the quality of life), which are six main components: the digital quality of the population, providing the population with digital benefits, the labor market in the digital economy, the impact of digitalization on the social sphere, state electronic services for the population and the security of information activities. The study was carried out on the basis of the available statistical base and the results of research by scientists from different countries of the world. The risks of the digital economy cannot be ignored when pursuing state social policy. Attention is paid to government regulation aimed at reducing the negative consequences of digitalization through the prism of national, federal projects and other events.

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