Interconnected Personal Health Record Ecosystem Using IoT Cloud Platform and HL7 FHIR

Hong, Jaeki; Morris, Peter S.; Seo, Jong-Hwa

doi:10.1109/ichi.2017.82

Cited by 31 publications

(22 citation statements)

References 17 publications

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“…This is achieved by using a common language and by defining the data structures and data types that are required to achieve transparent and seamless integration of the interacting systems. HL7 supports not only the clinical practice but also the management, the delivery and the evaluation of health services and is recognised as the most commonly used medical-specific application layer protocol [ 77 , 78 ].…”

Section: Classification Of Iot Protocols Used In Medical Devicesmentioning

confidence: 99%

Security in IoMT Communications: A Survey

Koutras

Stergiopoulos

Dasaklis

et al. 2020

Sensors

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The Internet of Medical Things (IoMT) couples IoT technologies with healthcare services in order to support real-time, remote patient monitoring and treatment. However, the interconnectivity of critical medical devices with other systems in various network layers creates new opportunities for remote adversaries. Since most of the communication protocols have not been specifically designed for the needs of connected medical devices, there is a need to classify the available IoT communication technologies in terms of security. In this paper we classify IoT communication protocols, with respect to their application in IoMT. Then we describe the main characteristics of IoT communication protocols used at the perception, network and application layer of medical devices. We examine the inherent security characteristics and limitations of IoMT-specific communication protocols. Based on realistic attacks we identify available mitigation controls that may be applied to secure IoMT communications, as well as existing research and implementation gaps.

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Section: Classification Of Iot Protocols Used In Medical Devicesmentioning

confidence: 99%

Security in IoMT Communications: A Survey

Koutras

Stergiopoulos

Dasaklis

et al. 2020

Sensors

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“…The FHIR approach was based on the representational state transfer (RESTful) principles described by Fielding [101]. FHIR is considered the de facto standard for interoperability in health recommender systems and many solutions are built on top of that [102,103].…”

Section: The Data Infrastructure Ecosystemmentioning

confidence: 99%

A Research Roadmap: Connected Health as an Enabler of Cancer Patient Support

Signorelli¹,

Lehocki²,

Fernández³

et al. 2019

J Med Internet Res

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The evidence that quality of life is a positive variable for the survival of cancer patients has prompted the interest of the health and pharmaceutical industry in considering that variable as a final clinical outcome. Sustained improvements in cancer care in recent years have resulted in increased numbers of people living with and beyond cancer, with increased attention being placed on improving quality of life for those individuals. Connected Health provides the foundations for the transformation of cancer care into a patient-centric model, focused on providing fully connected, personalized support and therapy for the unique needs of each patient. Connected Health creates an opportunity to overcome barriers to health care support among patients diagnosed with chronic conditions. This paper provides an overview of important areas for the foundations of the creation of a new Connected Health paradigm in cancer care. Here we discuss the capabilities of mobile and wearable technologies; we also discuss pervasive and persuasive strategies and device systems to provide multidisciplinary and inclusive approaches for cancer patients for mental well-being, physical activity promotion, and rehabilitation. Several examples already show that there is enthusiasm in strengthening the possibilities offered by Connected Health in persuasive and pervasive technology in cancer care. Developments harnessing the Internet of Things, personalization, patient-centered design, and artificial intelligence help to monitor and assess the health status of cancer patients. Furthermore, this paper analyses the data infrastructure ecosystem for Connected Health and its semantic interoperability with the Connected Health economy ecosystem and its associated barriers. Interoperability is essential when developing Connected Health solutions that integrate with health systems and electronic health records. Given the exponential business growth of the Connected Health economy, there is an urgent need to develop mHealth (mobile health) exponentially, making it both an attractive and challenging market. In conclusion, there is a need for user-centered and multidisciplinary standards of practice to the design, development, evaluation, and implementation of Connected Health interventions in cancer care to ensure their acceptability, practicality, feasibility, effectiveness, affordability, safety, and equity.

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“…The aforementioned studies [16][17][18][19], however, still focused on the efficient management and interaction of smart objects (i.e., sensors and actuators) rather than interaction between users and IoT services. The platforms and systems presented by [20][21][22][23][24] suggest various approaches to provide IoT services by taking the interaction between users and devices into account. Ref.…”

Section: J Sens Actuator Netw 2019 8 12 4 Of 21mentioning

confidence: 99%

“…In particular, the mobile interface was designed according to the usability heuristics for the elderly, such as text size, color and contrast, navigation and location, mouse use, and page organization. Similarly, Wu et al [23] and Hong et al [24] proposed a GUI-based application to monitor the status of sensor nodes in a safety and health domain. However, ref.…”

Section: J Sens Actuator Netw 2019 8 12 4 Of 21mentioning

confidence: 99%

“…[23] does not support a manual or rule-based actuation features; therefore, its usefulness is limited. In particular, since [24] depends on the ARTIK cloud as its cloud backend, the aforementioned problems and limitations of ARTIK cloud interface still exist. On the other hand, Zhao et al [25] and Heikkinen et al Ref.…”

Section: J Sens Actuator Netw 2019 8 12 4 Of 21mentioning

confidence: 99%

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VisKit: Web-Based Interactive IoT Management with Deep Visual Object Detection

Hwang

Lee

Jeong

2019

JSAN

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Various technologies and standards for the Internet of Things (IoT) have defined the way devices should interact with each other to provide an intelligent IoT service to users in an efficient manner. Although the usability of system interface between the platform and users is one of the key factors for the success of IoT ecosystems, the manner in which IoT platforms should interact with users has not been well studied. Current IoT platforms provide a simple list-based interface to manage devices, which result in the degradation of their usability as the number of devices increases. In this paper, we propose an interactive web-based IoT management system where deep object detection techniques are adopted to facilitate user’s device selection and management. The proposed system automatically recognizes the device type from video streams and accordingly generates smart controllers. The users can choose a device by touching an object in the video stream and use a smart controller to control the selected device. Finally, we show the feasibility of the proposed system through the implementation of a prototype which demonstrates a set of user scenarios.

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Interconnected Personal Health Record Ecosystem Using IoT Cloud Platform and HL7 FHIR

Cited by 31 publications

References 17 publications

Security in IoMT Communications: A Survey

Security in IoMT Communications: A Survey

A Research Roadmap: Connected Health as an Enabler of Cancer Patient Support

VisKit: Web-Based Interactive IoT Management with Deep Visual Object Detection

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