Dynamic Modeling of Complex Healthcare Systems Using Big Data to Describe and Visualize Healthcare Utilization

2020 ◽  
Author(s):  
Inas S. Khayal
Keyword(s):  
Big Data ◽  
Healthcare Utilization ◽  
Dynamic Modeling ◽  
Healthcare Systems

scholarly journals Big Data Analytics in Healthcare

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Ashwin Belle ◽  
Raghuram Thiagarajan ◽  
S. M. Reza Soroushmehr ◽  
Fatemeh Navidi ◽  
Daniel A. Beard ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Care Delivery ◽  
Healthcare Delivery ◽  
Big Data Analytics ◽  
Healthcare Systems ◽  
Medical Data ◽  
Unstructured Data ◽  
Process Of Care ◽  
Multimodal Data

The rapidly expanding field of big data analytics has started to play a pivotal role in the evolution of healthcare practices and research. It has provided tools to accumulate, manage, analyze, and assimilate large volumes of disparate, structured, and unstructured data produced by current healthcare systems. Big data analytics has been recently applied towards aiding the process of care delivery and disease exploration. However, the adoption rate and research development in this space is still hindered by some fundamental problems inherent within the big data paradigm. In this paper, we discuss some of these major challenges with a focus on three upcoming and promising areas of medical research: image, signal, and genomics based analytics. Recent research which targets utilization of large volumes of medical data while combining multimodal data from disparate sources is discussed. Potential areas of research within this field which have the ability to provide meaningful impact on healthcare delivery are also examined.

scholarly journals Big Data and Data-Driven Healthcare Systems

2018 ◽  
Vol 6 (3) ◽  
pp. 104-111
Author(s):  
Cheryl Ann Alexander ◽  
Lidong Wang
Keyword(s):  
Big Data ◽  
Healthcare Systems ◽  
Data Driven

Survelliance of Type I and II Diabetic Subjects on Physical Characteristics

2021 ◽  
pp. 308-344
Author(s):  
Rohit Rastogi ◽  
Devendra Kumar Chaturvedi ◽  
Parul Singhal
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Electronic Health Records ◽  
Analysis Data ◽  
Healthcare Systems ◽  
Clinical Analysis ◽  
Big Data Analysis ◽  
Diagnostic Information ◽  
Unstructured Data ◽  
Type I

The Delhi and NCR healthcare systems are rapidly registering electronic health records and diagnostic information available electronically. Furthermore, clinical analysis is rapidly advancing, and large quantities of information are examined and new insights are part of the analysis of this technology experienced as big data. It provides tools for storing, managing, studying, and assimilating large amounts of robust, structured, and unstructured data generated by existing medical organizations. Recently, data analysis data have been used to help provide care. The present study aimed to analyse diabetes with the latest IoT and big data analysis techniques and its correlation with stress (TTH) on human health. The authors have tried to include age, gender, and insulin factor and its correlation with diabetes. Overall, in conclusion, TTH cases increasing with age in case of males and not following the pattern of diabetes variation with age, while in the case of females, TTH pattern variation is the same as diabetes (i.e., increasing trend up to age of 60 then decreasing).

Healthy and wellbeing activities’ promotion using a Big Data approach

2016 ◽  
Vol 24 (2) ◽  
pp. 125-135 ◽  
Author(s):  
Diego Gachet Páez ◽  
Manuel de Buenaga Rodríguez ◽  
Enrique Puertas Sánz ◽  
María Teresa Villalba ◽  
Rafael Muñoz Gil
Keyword(s):  
Machine Learning ◽  
Health Care ◽  
Big Data ◽  
Economic Crisis ◽  
Healthy Lifestyle ◽  
Developed Countries ◽  
Healthcare Systems ◽  
Machine Learning Algorithms ◽  
Public And Private ◽  
Private Healthcare

The aging population and economic crisis specially in developed countries have as a consequence the reduction in funds dedicated to health care; it is then desirable to optimize the costs of public and private healthcare systems, reducing the affluence of chronic and dependent people to care centers; promoting healthy lifestyle and activities can allow people to avoid chronic diseases as for example hypertension. In this article, we describe a system for promoting an active and healthy lifestyle for people and to recommend with guidelines and valuable information about their habits. The proposed system is being developed around the Big Data paradigm using bio-signal sensors and machine-learning algorithms for recommendations.

Towards a Better and Smarter Healthcare and IoT

2019 ◽  
pp. 191-228
Author(s):  
Navin Kumar
Keyword(s):  
Big Data ◽  
Quality Of Care ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Healthcare Systems ◽  
Healthcare Organizations ◽  
Healthcare Data ◽  
Value Based Care ◽  
Rich Data

The amount of healthcare data continues to exponentially grow everyday. The complexity of this data further limits the analytical capabilities of traditional healthcare systems. With value-based care, it is far more imminent for healthcare organizations to control the costs and to improve the quality of care in order to sustain their business. The purpose of the chapter is to gain insights into complexities and challenges that exist in current healthcare systems and how big data analytics and IoT can play a pivotal role to positively influence the quality of care and patient outcomes. The chapter also provides solutions and strategies for building cloud-based data asset that can deliver rich data analytics to both the healthcare systems and the patients.

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