The use of Big Data Analytics in healthcare

大数据 分析 医疗保健 数据科学 数据分析 计算机科学 计算科学与工程 数据挖掘 机器学习 经济增长 经济
作者
Kornelia Batko,Andrzej Ślęzak
出处
期刊:Journal of Big Data [Springer Science+Business Media]
卷期号:9 (1): 3-3 被引量:479
标识
DOI:10.1186/s40537-021-00553-4
摘要

Abstract The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare. The research is based on a critical analysis of the literature, as well as the presentation of selected results of direct research on the use of Big Data Analytics in medical facilities. The direct research was carried out based on research questionnaire and conducted on a sample of 217 medical facilities in Poland. Literature studies have shown that the use of Big Data Analytics can bring many benefits to medical facilities, while direct research has shown that medical facilities in Poland are moving towards data-based healthcare because they use structured and unstructured data, reach for analytics in the administrative, business and clinical area. The research positively confirmed that medical facilities are working on both structural data and unstructured data. The following kinds and sources of data can be distinguished: from databases, transaction data, unstructured content of emails and documents, data from devices and sensors. However, the use of data from social media is lower as in their activity they reach for analytics, not only in the administrative and business but also in the clinical area. It clearly shows that the decisions made in medical facilities are highly data-driven. The results of the study confirm what has been analyzed in the literature that medical facilities are moving towards data-based healthcare, together with its benefits.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
lixiaofan发布了新的文献求助10
1秒前
WIK完成签到,获得积分10
1秒前
脑洞疼应助成就的绯采纳,获得10
3秒前
SciGPT应助成就的井采纳,获得10
4秒前
佰慧完成签到,获得积分10
4秒前
4秒前
myyyyy完成签到,获得积分10
6秒前
6秒前
叶子麻完成签到,获得积分10
6秒前
6秒前
8秒前
成熟稳重痴情完成签到,获得积分10
8秒前
ppsweek发布了新的文献求助10
8秒前
慕青应助cgjhgh采纳,获得10
9秒前
英姑应助Lww采纳,获得10
9秒前
11秒前
搜集达人应助你好采纳,获得10
11秒前
英俊的铭应助ppsweek采纳,获得10
12秒前
逗我呢发布了新的文献求助10
12秒前
13秒前
liriyii发布了新的文献求助10
13秒前
成就的绯完成签到,获得积分10
15秒前
卡尔完成签到,获得积分10
16秒前
俭朴觅松完成签到 ,获得积分10
17秒前
张张完成签到,获得积分10
17秒前
xsaltycafe发布了新的文献求助10
17秒前
19秒前
聪慧的凝海完成签到 ,获得积分0
20秒前
莎莎完成签到 ,获得积分10
20秒前
研友_VZG7GZ应助油柑美式采纳,获得20
21秒前
叶保听完成签到,获得积分10
21秒前
21秒前
兰亭序完成签到 ,获得积分10
21秒前
云馨完成签到,获得积分10
22秒前
22秒前
NexusExplorer应助Glacier采纳,获得10
25秒前
CC发布了新的文献求助10
25秒前
26秒前
你好发布了新的文献求助10
28秒前
jlw完成签到,获得积分10
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
Signals, Systems, and Signal Processing 610
Research Methods for Applied Linguistics 500
A Social and Cultural History of the Hellenistic World 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6395884
求助须知:如何正确求助?哪些是违规求助? 8211281
关于积分的说明 17392783
捐赠科研通 5449406
什么是DOI,文献DOI怎么找? 2880466
邀请新用户注册赠送积分活动 1857078
关于科研通互助平台的介绍 1699428