Why policymakers should care about “big data” in healthcare

Bates, David W.; Heitmueller, Axel; Kakad, Meetali; Saria, Suchi

doi:10.1016/j.hlpt.2018.04.006

“…Patch management is one area that is not fully implemented due to the ageing systems which are no longer supported by the vendors or for fear of the updates breaking this critical systems [23]. Privacy and security is a major concern in health institutions due to the vast amount of sensitive data they hold [24]. Several authors have discussed the adaptation of Cloud computing in Healthcare to overcome some of the challenges posed by the ageing infrastructure however Cloud computing has it own privacy and security issues which is why some providers are hesitant to embrace the Cloud paradigm [25], [26], [27], [28].…”

Section: A Ageing Infrastructurementioning

confidence: 99%

Cybersecurity Metrics for Enhanced Protection of Healthcare IT Systems

Ahmed

¹

,

Naqvi

²

,

Josephs

³

2019

2019 13th International Symposium on Medical Information and Communication Technology (ISMICT)

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Cybersecurity incidents are on the rise in the healthcare sector and it is becoming a growing concern for the senior executives. The attack surface is expanding due to the large number of connected medical devices and the proliferation of portable devices such as smart phones, tablets and USB devices. In this paper, we will discuss some of the security challenges facing this sector and propose a set of cybersecurity metrics that could be used to enhance the protection of the IT systems.

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“…Additionally, the Affordable Care Act (ACA) and related effort s in the United States are moving health services from fee-for-service (FFS) models to managed care, valueadded payment or value-based (VB) models that may be built on smart technology applications [14] . More recently, advances in cloud computing and big data analytics [15] have enabled the analysis of massive data collected from mobile users via smart technologies in real time. With use of earlier technological applications quickly becoming obsolete, this is a critical step to achieve more precise recommendations for individualized care services.…”

Section: Introductionmentioning

confidence: 99%

Assessing factors critical to smart technology applications to mobile health care − the fgm-fahp approach

Chen

¹

2020

Health Policy and Technology

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a b s t r a c tSmart technologies present numerous opportunities for enhancing mobile health care. However, some concerns regarding the viability of smart technology applications must be addressed. This study investigated these concerns by reviewing the current practices of smart technology applications to mobile health care. As a result, five factors critical to the applicability of a smart technology to mobile health care are identified, and the fuzzy geometric mean-fuzzy analytic hierarchy process (FGM-FAHP) approach is proposed to assess the relative importance levels of the identified factors. The experimental results showed that the three most critical factors identified include: (a) the relaxation of the related medical laws; (b) unobtrusiveness; and (c) the precise need and situation of a user. Accordingly, approximately 44%, 26%, and 15% of the budget should be allocated to the realization of the three critical factors, respectively. In addition, the challenges involved and opportunities for enhancing the effectiveness of existing applications are discussed.

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“…This is an urgent and critical topic for the following reasons. More recently, advances in cloud computing and big data analytics [15] have enabled the analysis of massive data collected from mobile users via smart technologies in real time. The market scale is large with numerous opportunities for related industries and companies.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the sustainability of a smart technology application to mobile health care: the FGM–ACO–FWA approach

Chen

¹

2019

Complex Intell. Syst.

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a b s t r a c tSmart technologies present numerous opportunities for enhancing mobile health care. However, some concerns regarding the viability of smart technology applications must be addressed. This study investigated these concerns by reviewing the current practices of smart technology applications to mobile health care. As a result, five factors critical to the applicability of a smart technology to mobile health care are identified, and the fuzzy geometric mean-fuzzy analytic hierarchy process (FGM-FAHP) approach is proposed to assess the relative importance levels of the identified factors. The experimental results showed that the three most critical factors identified include: (a) the relaxation of the related medical laws; (b) unobtrusiveness; and (c) the precise need and situation of a user. Accordingly, approximately 44%, 26%, and 15% of the budget should be allocated to the realization of the three critical factors, respectively. In addition, the challenges involved and opportunities for enhancing the effectiveness of existing applications are discussed.

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Why policymakers should care about “big data” in healthcare

Cited by 39 publications

References 17 publications

Cybersecurity Metrics for Enhanced Protection of Healthcare IT Systems

Cybersecurity Metrics for Enhanced Protection of Healthcare IT Systems

Assessing factors critical to smart technology applications to mobile health care − the fgm-fahp approach

Evaluating the sustainability of a smart technology application to mobile health care: the FGM–ACO–FWA approach

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