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Healthcare Analytics: A Comprehensive Review

A. Alghamdi, T. Alsubait, A. Baz, H. Alhakami
2021 Engineering, Technology & Applied Science Research  
This paper reviews the use and effectiveness of data analytics in healthcare, examining secondary data sources such as books, journals, and other reputable publications between 2000 and 2020, utilizing  ...  Large scale data have been proven of great importance in healthcare, and therefore there is a need for advanced forms of data analytics, such as diagnostic data and descriptive analysis, for improving  ...  The idea is to use healthcare analytics to create actionable information that can be utilized for improving patient care and the efficiency of processes.  ... 
doi:10.48084/etasr.3965 fatcat:zwr6lojosrairjtjvd42i5dcey

BIG DATA ANALYTICS IN HEALTHCARE SERVICES

GUNASEKAR THANGARASU, KAYALVIZHI SUBRAMANIAN
2019 Science Proceedings Series  
The big data analytics can continually evaluate clinical data in order to improve the effective practices of physicians and improved patient care  ...  The proposed approach will improve the healthcare services fastly and efficiently.  ...  This iterative process often involves enriching the data to improve the results of the models.  ... 
doi:10.31580/sps.v1i2.561 fatcat:nv7dtygbrnfijhym4xwcowfmnu

Big Data Analytics for Improved Care Delivery in the Healthcare Industry

Gunasekar Thangarasu, Kayalvizhi Subramanian
2019 International Journal of Online and Biomedical Engineering (iJOE)  
Big data analytics can continually evaluate clinical data in order to improve the effective practices of physicians and improved patient care.</p>  ...  Recently the utilization of big data analytics has been increased in the healthcare industry for assisting the process of diagnosing diseases and care delivery.  ...  This iterative process often involves enriching the data to improve the results of the models.  ... 
doi:10.3991/ijoe.v15i10.10875 fatcat:icxcfvflofgyfjyukierfx6vsq

USABILITY OF BIG DATA ANALYTICS WITHIN CLINICAL DECISION SUPPORT SYSTEMS

Christopher Otieno Okal, Harriet Tsinale Loice
2019 International Journal of Engineering Applied Sciences and Technology  
Moreover, big data analytics has the capability to help healthcare organizations to streamline processes within the healthcare setting.  ...  However, the process of integrating big data analytics in the healthcare setting follows distinct phases.  ...  they can adopt the use of big data analytics to aid in decision making and quality and healthcare quality improvement.  ... 
doi:10.33564/ijeast.2019.v04i05.010 fatcat:2kh4fden4zd6thsvqukj2yqlii

Index [chapter]

2013 Healthcare Analytics for Quality and Performance Improvement  
value chain, 92 Infrastructure requirements for healthcare analytics, 45-47 Innovation, rewarding, 209 Insight embedding in dashboards and reports, 161 moving to improvement from, 129-132 Institute  ...  , 145-147 predictive analytics and, 187 using with graphical methods, 160-162 Statistical process control (SPC), 154-155 Statistical process control (SPC) charts data considerations, 156-157 as data  ... 
doi:10.1002/9781118761946.index fatcat:qzygwbjm6zczhjxfm6qnc7nrtu

Process-Oriented e-Learning System for Training Healthcare Professionals on Big Data Usage

Vassiliki Karabetsou, Flora Malamateniou
2016 Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies  
To this end, this paper presents a process-oriented elearning system which aims at making healthcare professionals understand how to use big data tools and giving them the necessary skills to improve operations  ...  The system uses workflow technology and Learning Analytics which has been specifically planned for learners' custom needs.  ...  The system uses Learning analytics for monitoring learners' progress and for, improving the learning process.  ... 
doi:10.5220/0005828205230528 dblp:conf/biostec/KarabetsouM16 fatcat:2b4nd2exkzg25btyrz2zegxdci

Using Visual Analytics to Improve Hospital Scheduling and Patient Flow

Janna Anneke Fitzgerald, Ann Dadich
2009 Journal of Theoretical and Applied Electronic Commerce Research  
Premised on visual analytics, the paper describes the way a software program was used to represent sonography department processes within a virtual environment.  ...  Although reform is an oft-cited way to improve the healthcare system, it has a limited ability to readily address this increasing demand.  ...  Although potentially useful to improve patient flow, the use of visual analytics in healthcare settings is not without problem. The key challenge pertains to data collection.  ... 
doi:10.4067/s0718-18762009000200003 fatcat:mvr3gks5sje3nckmtw2br6ab5y

AI based HealthCare Platform for Real Time, Predictive and Prescriptive Analytics using Reactive Programming

Jagreet Kaur, Dr. Kulwinder Singh Mann
2018 Journal of Physics, Conference Series  
The system will be able to extract useful knowledge that helps in decision making and medical monitoring in real-time through an intelligent process analysis and big data processing.  ...  This paper proposes a generic architecture for enabling AI based healthcare analytics Platform by using open sources Technologies Apache beam, Apache Flink Apache Spark, Apache NiFi, Kafka, Tachyon, Gluster  ...  Real-time healthcare analytics can help to improve the quality of care, reduce costs, and help to meet regulatory requirements by automating the process of collecting and measuring huge amounts of healthcare  ... 
doi:10.1088/1742-6596/933/1/012010 fatcat:bfcdkoaqkjec5j4m43pi737lhu

Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations

Yichuan Wang, LeeAnn Kung, Terry Anthony Byrd
2018 Technological forecasting & social change  
In addition, we recommend five strategies for healthcare organizations that are considering to adopt big data analytics technologies.  ...  From content analysis of 26 big data implementation cases in healthcare, we were able to identify five big data analytics capabilities: analytical capability for patterns of care, unstructured data analytical  ...  Typically, this analytic component in healthcare organizations is useful for supporting preventative healthcare practice and improving pharmaceutical management.  ... 
doi:10.1016/j.techfore.2015.12.019 fatcat:bliiblzo2vaszal6bp5ualb7ui

Analysis of Research in Healthcare Data Analytics [article]

Mohammad Alkhatib, Amir Talaei-Khoei, Amir Ghapanchi
2016 arXiv   pre-print
The paper has listed some data analytics tools and techniques that have been used to improve healthcare performance in many areas such as: medical operations, reports, decision making, and prediction and  ...  The main aim of this paper is to provide a deep analysis on the research field of healthcare data analytics.  ...  technology in these days, as well as most of articles were trying to use old methods and involving only doctors and professionals in healthcare analytics process in order to improve clinical and hospitals  ... 
arXiv:1606.01354v1 fatcat:pmavctx63ra6fby2m6bmeffaki

A Proposed Framework to Enhance Healthcare Systems Utilizing Data Analytics for Intelligent Decision Support Systems

محمد الهادی, Asaad El-Saadany Beder
2017 مجلة الجمعیة المصریة لنظم المعلومات وتکنولوجیا الحاسبات  
In future, Big Data is going to transform medical sectors across all healthcare organizations and healthcare industry by using Big Data Analytics.  ...  Need for Big Data Analytics in Healthcare To improve the quality of healthcare by considering the following: • Providing patient centric services. • Detecting spreading diseases earlier. • Monitoring the  ... 
doi:10.21608/jstc.2017.117558 fatcat:wdcd6u2dkfajnmlxqkybedccty

Cloud-based Healthcare data management Framework

2020 KSII Transactions on Internet and Information Systems  
, store and process healthcare data securely.  ...  Currently, most healthcare organizations are using cloud-based applications and related services to deliver better healthcare facilities.  ...  Healthcare organizations try to use the power of the cloud to manage healthcare data wisely to improve the quality of healthcare.  ... 
doi:10.3837/tiis.2020.03.006 fatcat:yeput45l7favbmvt2hhwjfsn5y

Bioinformatics, Healthcare Informatics and Analytics: An Imperative for Improved Healthcare System

Jelili Oyelade, Jumoke Soyemi, Itunuoluwa Isewon, Olawole Obembe
2015 International Journal of Applied Information Systems  
Healthcare Informatics focuses on health data, information and knowledge, including their collection, processing, analysis and use.  ...  It looks at the benefits, the contribution of each of them to improving healthcare system, the overlap among bioinformatics, healthcare Informatics and analytics and finally the future prospects of healthcare  ...  There are a number of benefits accrued to healthcare system implementing analytics tools and processes.  ... 
doi:10.5120/ijais15-451318 fatcat:wyxa5qtfwffbxp72ap7pvmkrbe

Understanding the Difference Between Healthcare Informatics and Healthcare Data Analytics in the Present State of Health Care Management

Thomas Wan, Varadraj Gurupur
2020 Health Services Research & Managerial Epidemiology  
Additionally, the authors attempt to redefine the scientific pursuit of healthcare informatics and healthcare data analytics.  ...  The purpose of this article is to perform a scientific analysis of the definitions associated with healthcare informatics and healthcare data analytics.  ...  Healthcare data analytics deals with various methods used in processing data for healthcare. 8 In some ways healthcare data analytics is a part of the larger whole (healthcare informatics).  ... 
pmid:32923520 pmcid:PMC7450285 fatcat:qndj6ho7avbshksebo25fb3hca

Exploring the path to big data analytics success in healthcare

Yichuan Wang, Nick Hajli
2017 Journal of Business Research  
In order to bridge this knowledge gap, this research proposes a business analytics-enabled business value model in which we use the resource-based theory (RBT) and IT capability building to link big data  ...  architectural components, through big data analytics capabilities, to a big data-specific benefits framework.  ...  After near-real-time data processing, the reports generated are then used to help users recognize emerging healthcare issues such as patient safety and appropriate medication use.  ... 
doi:10.1016/j.jbusres.2016.08.002 fatcat:2g2ilz23xjdbtg4mvxiojrlfsu
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