Big data in health care: A mobile based solution

Panda, Minerva; Ali, Syed Mohd; Panda, Sanjog Kumar

doi:10.1109/icbdaci.2017.8070826

Cited by 23 publications

(13 citation statements)

References 5 publications

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“…In healthcare, big data gained a lot of attention from both academia and industry with several analytical techniques and applications (Mehta & Pandit, 2018;Mehta, Pandit, & Shukla, 2019;Ojha & Mathur, 2016;Panda, Ali, & Panda, 2017;Sanchez-Pinto, Luo, & Churpek, 2018). Medical, pharmaceuticals, and supplies sectors are now leaders in data-driven predictive analytics, moving toward treatment based on genetic profiles.…”

Section: Big Data In Healthcarementioning

confidence: 99%

The Analysis of Big Data Architecture for Healthcare Service, a Case Study of a Public Hospital

Noonpakdee

2022

IJMKL

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Big data is one of the promising technologies which helps the healthcare sector improve patient experience, reduce the cost of treatment, predict epidemics, and provide competitive healthcare services. This research aims to study and analyse big data architecture for a public hospital in Thailand.Study design/methodology/approach: This research employs a qualitative approach. For data collection and analysis, document analysis is applied as a qualitative method to obtain empirical data. In addition, in-depth interviews of the IT manager, doctor, and staff are conducted to confirm the big data architecture and examine issues in a case study public hospital.Findings: According to the study, big data architecture for the public hospital comprises data acquisition, data integration, data analytics, data visualisation, a health data centre on a cloud, and data governance.Originality/value: The architecture components and analysis can be applied as a guideline for big data processing and analytics to create a solution for implementing big data in healthcare effectively.

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Section: Big Data In Healthcarementioning

confidence: 99%

The Analysis of Big Data Architecture for Healthcare Service, a Case Study of a Public Hospital

Noonpakdee

2022

IJMKL

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“…Mobile/web applications in healthcare have been developed, which allows for patients to send a symptomatic query to providers through a server. These mobile applications may be equipped with first aid instructions; patients may be given emergency help for further treatment or directed to respective departments (Panda et al, 2017). A healthcare system based on mobile cloud computing (MCC) was created for collecting and analyzing real-time biomedical signals (e.g., blood pressure, ECG) from users in various places.…”

Section: Introductionmentioning

confidence: 99%

Big Data Analytics in Healthcare Systems

Wang

Alexander²

2019

Int J Math, Eng, Manag Sci

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Big Data analytics can improve patient outcomes, advance and personalize care, improve provider relationships with patients, and reduce medical spending. This paper introduces healthcare data, big data in healthcare systems, and applications and advantages of Big Data analytics in healthcare. We also present the technological progress of big data in healthcare, such as cloud computing and stream processing. Challenges of Big Data analytics in healthcare systems are also discussed.

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“…Mental Health is an area with great needs for improvement, as the volume of data is growing, and its objective is to improve the classification and diagnostic analysis to better understand the accumulation of patient data and make them profitable [5,6]. Data mining techniques and statistical analysis are the most used tools for prediction in this area.…”

Section: Introductionmentioning

confidence: 99%

“…[8]. In [6] focus on the development of a mobile/web application, through which patients send their symptomatic queries to doctors through a server. The proposed model is the solution for the efficient collection of data, the provision of integrated medical care with analysis.…”

Section: Introductionmentioning

confidence: 99%

A New Software Tool for Analyzing Mental Health Data in a Spanish Region

et al. 2019

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Mental Health disorders such as schizophrenia, depression, and dementia have a great impact on society worldwide. Recent developments have witnessed numerous advances in telemedicine that allow remote monitoring of elderly people with diseases of this pathology. One of key factors influencing recent advances in health information systems is the use of data extraction robust techniques used to extract knowledge from medical databases. The main objective of the paper is to develop a web application that allows extracting knowledge from a database of patients with psychiatric disorders and helps health personnel to know in depth the existing patient profiles and thus improve decision making. The scenario chosen for this study consists in a government of Castile and Leon database of 53641 income records of patients with Mental Health disorders between 2005 and 2015. Applying descriptive statistics for the analysis of data, the results show different parameters regarding Hospitalization behavior such as rate, average, hospitalization days of the patient's number per hospital and outsourcing services.

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Big data in health care: A mobile based solution

Cited by 23 publications

References 5 publications

The Analysis of Big Data Architecture for Healthcare Service, a Case Study of a Public Hospital

The Analysis of Big Data Architecture for Healthcare Service, a Case Study of a Public Hospital

Big Data Analytics in Healthcare Systems

A New Software Tool for Analyzing Mental Health Data in a Spanish Region

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