Proactive diabetes management

Big data analytics in healthcare: a systematic literature review

“…Summary of findings of reviewed studies. (Chandola, Sukumar, and Schryver 2013); integrating techniques (Cheng, Kuo, and Zhou 2018); insights from sociodemographic data (Amirian et al 2017;Narayanan and Greco 2016); insurance claims (Chandola, Sukumar, and Schryver 2013); fraud identification (Chandola, Sukumar, and Schryver 2013); structural degradation modelling (Chehade and Liu 2019); macro-level phenomena (Cheng, Kuo, and Zhou 2018); public-health policy (Christensen et al 2018); social welfare policies (Wu et al 2016) Disease prediction Serious medical conditions (Chen et al 2017;Hadi et al 2019;Yasin and Rao 2018); gestational diabetes mellitus (Moreira et al 2018); diabetes (George, Chacko, and Kurien 2019;Gowsalya, Krushitha, and Valliyammai 2014); disease patterns (De Silva et al 2015); efficient risk profiling (Lin et al 2017); diagnostic frameworks (Babar et al 2016); prediction models (Manogaran et al 2018); prioritising individuals (Ozminkowski et al 2015;Sabharwal, Gupta, and Thirunavukkarasu 2016); personalised healthcare apps (Tseng et al 2017); patient monitoring (Christensen et al 2018;Sabharwal, Gupta, and Thirunavukkarasu 2016); disease-based monitoring systems (Bravo et al 2018); real-time assessment in m-Health (Bravo et al 2018); secure living environment for elderly (Jin et al, 2016) Strategy formulation BDA-based capabilities (Austin and Kusumoto 2016); investment in BDA (Sabharwal, Gupta, and Thirunavukkarasu 2016); efficient resource allocation (Gowsalya, Krushitha, and Valliyammai 2014); knowledge management …”

“…Increased adoption of newer technologies make real-time data from sensors in electronic devices available to healthcare functions. These data are often accumulated from health devices (Gopal et al 2019;Ma et al 2018), Internet of Things (IoT) devices (Bravo et al 2018;George, Chacko, and Kurien 2019), and smartphone applications (Navaz et al 2018;Wu et al 2017). In general, body temperature sensors, blood oxygen sensors, and electrocardiogram sensors, among other sensors are attached to a patient's body to monitor health parameters continuously.…”

“…Healthcare can be conceptualised as a system comprising three constituent parts: (a) core providers of medical care services, such as physicians, nurses, technicians, and hospital administrations (Boudhir, Ben Ahmed, and Soumaya 2017;Zhang, Simon, and Yu 2017); (b) critical services that are associated with medical care services, such as medical research and health insurance (Austin and Kusumoto 2016;Chandola, Sukumar, and Schryver 2013); and (c) beneficiaries of medical care services, i.e., patients and the public (Salomi and Balamurugan 2016;Weng and Kahn 2016). This study considers that a healthcare system includes contact-based and technology-based remote monitoring services extended by constituent service providers to promote, maintain, or restore the health of beneficiaries (George, Chacko, and Kurien 2019;Kaur, Sharma, and Mittal 2018). Big data analytics (BDA) has had a considerable influence across healthcare functions (Gu et al 2017;Sáez and García-Gómez 2018), including clinical decision support, disease surveillance, and health management, among others (Raghupathi and Raghupathi 2014).…”

“…-a-service(Boudhir, Ben Ahmed, and Soumaya 2017); healthcare-as-a-service(Jindal et al 2018); crowdsourced e-Health networks(Shao et al 2016); care coordination programme(Kuo et al 2015); efficient scheduling(Agnihothri et al, 2015); enhancement of service quality (Yasin and Rao 2018); strategic cloud design; distributed network (Forestiero and Papuzzo 2018); layers of the healthcare system(Ma et al 2018); theoretical framework(George, Chacko, and Kurien 2019;Tseng et al 2017) Data governance Access rights management(Zaragoza, Kim, and Chung 2017); data from social media and clinical servers(Forestiero and Papuzzo 2018); data from mobile devices(Navaz et al 2018); architecture for sensor data(Manogaran et al 2018); structured data(Babar et al 2016); application of Hadoop (Praveena and Rao 2018); efficiency-privacy paradox and benefit-cost trade-off(Wu et al 2016); security and privacy of patient data(Patil and Seshadri 2014); tradeoffs between healthcare efficiency and privacy risk(Li et al 2015) Decision support Advanced decision support(Lin et al 2017); decision-making models(Agnihothri et al, 2015;Boudhir, Ben Ahmed, and Soumaya 2017;Moreira et al 2018); decision-support systems(Wang, Kung, and Byrd 2018); evidence-based decision; faster decision-making(Navaz et al 2018); network analysis…”

Challenges and opportunities of big data analytics in healthcare

“…data from sensors in electronic equipment. The majority of the time, these data are gathered via health devices [13,14], Internet of Things (IoT) devices [15,16], and smartphone applications [17].…”