Mobile Instant Messaging Application Usage in Home Healthcare--Model

Amyotrophic lateral sclerosis: A home healthcare model

Journal of the Neurological Sciences ◽

10.1016/j.jns.2021.119394 ◽

2021 ◽

Vol 429 ◽

pp. 119394

Author(s):

Luca Guido ◽

Valeria Borsani ◽

Stefania Piscopo ◽

Orsola Sironi ◽

Angelo Mainini

Keyword(s):

Amyotrophic Lateral Sclerosis ◽

Home Healthcare ◽

Healthcare Model ◽

Lateral Sclerosis

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Home UbiHealth

Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction - Advances in Computer and Electrical Engineering ◽

10.4018/978-1-5225-7368-5.ch085 ◽

2019 ◽

pp. 1165-1175

Author(s):

John Sarivougioukas ◽

Aristides Vagelatos ◽

Konstantinos E. Parsopoulos ◽

Isaac E. Lagaris

Keyword(s):

Medical Treatment ◽

Ubiquitous Computing ◽

Healthcare Services ◽

Home Healthcare ◽

Healthcare Applications ◽

Ubiquitous Computing Environment ◽

Medical Needs ◽

The Third ◽

Healthcare Model ◽

Natural Way

At the third computing era, users interact with many computing devices surrounding or implanted in them, in a natural way, anytime and anywhere, implementing the concept of ubiquitous computing. Moreover, the ubiquitous computing implementations provide the advantageous characteristics of awareness and personalization, which are precious in healthcare applications (i.e., the operating computing devices in the patient's environment can be aware about the evolving situations and actively participate in the provision of the medical treatment). In addition, the ubiquitously supported healthcare services can be provided anywhere and at any time allowing specific cases of the hospitalization model to be transferred to the home healthcare model. The adoption of the home healthcare model in a ubiquitous computing environment provides the prerequisites for the development of the home UbiHealth model. Extending the formal provision of medical services at home provides the capability to cover the medical needs of all the population categories.

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Factors influencing the mobile instant messaging application usage behaviours among home healthcare providers

Journal of Clinical Nursing ◽

10.1111/jocn.15868 ◽

2021 ◽

Author(s):

Kuei‐Feng Chiang ◽

Hsiu‐Hung Wang ◽

Hsiu‐Fen Hsieh

Keyword(s):

Instant Messaging ◽

Healthcare Providers ◽

Home Healthcare ◽

Factors Influencing

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Home UbiHealth

Encyclopedia of Information Science and Technology, Fourth Edition ◽

10.4018/978-1-5225-2255-3.ch675 ◽

2018 ◽

pp. 7765-7774

Author(s):

John Sarivougioukas ◽

Aristides Vagelatos ◽

Konstantinos E. Parsopoulos ◽

Isaac E. Lagaris

Keyword(s):

Medical Treatment ◽

Ubiquitous Computing ◽

Healthcare Services ◽

Home Healthcare ◽

Healthcare Applications ◽

Ubiquitous Computing Environment ◽

Medical Needs ◽

The Third ◽

Healthcare Model ◽

Natural Way

At the third computing era, users interact with many computing devices surrounding or implanted in them, in a natural way, anytime and anywhere implementing the concept of ubiquitous computing. Moreover, the ubiquitous computing implementations provide the advantageous characteristics of awareness and personalization, which are precious in healthcare applications, i.e. the operating computing devices in the patient's environment can be aware about the evolving situations and actively participate in the provision of the medical treatment. In addition, the ubiquitously supported healthcare services can be provided anywhere and at any time allowing specific cases of the hospitalization model to be transferred to the home healthcare model. The adoption of the home healthcare model in a ubiquitous computing environment provides the prerequisites for the development of the Home UbiHealth model. Extending the formal provision of medical services at home provides the capability to cover the medical needs of all the population categories.

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The feasibility of employing a home healthcare model for education and treatment of opioid overdose using a naloxone auto-injector in a private practice pain medicine clinic

Current Medical Research and Opinion ◽

10.1080/03007995.2018.1466698 ◽

2018 ◽

Vol 34 (12) ◽

pp. 2137-2141 ◽

Cited By ~ 1

Author(s):

Anthony Dragovich ◽

Fred Brason ◽

Thomas Beltran ◽

Amy McCoart ◽

Anthony R. Plunkett

Keyword(s):

Private Practice ◽

Home Healthcare ◽

Opioid Overdose ◽

Pain Medicine ◽

Medicine Clinic ◽

Healthcare Model ◽

Auto Injector

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The elements of a hand held device for nurse access to home healthcare monitors

PsycEXTRA Dataset ◽

10.1037/e578802012-047 ◽

2010 ◽

Author(s):

Jason A. Telner ◽

John Beane ◽

Liana Kiff ◽

Cameron Brackett ◽

Greg Lillegard

Keyword(s):

Home Healthcare

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Forensic Analysis of Artifacts of Giant Instant Messaging “WhatsApp” in Android Smartphone

Journal of Applied Information, Communication and Technology ◽

10.33555/ejaict.v5i2.55 ◽

2018 ◽

Vol 5 (2) ◽

pp. 73-83

Author(s):

Hussein Abed Ghannam

Keyword(s):

Instant Messaging ◽

Smart Phone ◽

Forensic Analysis ◽

Digital Evidence ◽

Terror Attack ◽

Left Behind ◽

Digital Crime ◽

Internal Storage ◽

Network Forensic ◽

Electronic Crime

WhatsApp is a giant mobile instant message IM application with over 1billion users. The huge usage of IM like WhatsApp through giant smart phone “Android” makes the digital forensic researchers to study deeply. The artefacts left behind in the smartphone play very important role in any electronic crime, or any terror attack. “WhatsApp” as a biggest IM in the globe is considered to be very important resource for information gathering about any digital crime. Recently, end-to-end encryption and many other important features were added and no device forensic analysis or network forensic analysis studies have been performed to the time of writing this paper. This paper explains how can we able to extract the Crypt Key of “WhatsApp” to decrypt the databases and extract precious artefacts resides in the android system without rooting the device. Artefacts that extracted from the last version of WhatsApp have been analysed and correlate to give new valuable evidentiary traces that help in investigating. Many hardware and software tools for mobile and forensics are used to collect as much digital evidence as possible from persistent storage on android device. Some of these tools are commercial like UFED Cellebrite and Andriller, and other are open source tools such as autopsy, adb, WhatCrypt. All of these tools that forensically sound accompanied this research to discover a lot of artefacts resides in android internal storage in WhatsApp application.

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