Quantum Computing for Healthcare: A Review

2021 ◽  
Author(s):  
Adnan Qayyum
Keyword(s):  
Quantum Computing ◽  
Personalized Medicine ◽  
Dna Sequencing ◽  
Drug Research ◽  
Healthcare Systems ◽  
Extensive Study ◽  
Healthcare Applications ◽  
Security Vulnerabilities ◽  
Quantum Leap ◽  
Computing Performance

<p>Quantum computing is an emerging field of research that can provide a “quantum leap” in terms of computing performance and thereby enable many new exciting healthcare applications such as rapid DNA sequencing, drug research and discovery, personalized medicine, molecular simulations, diagnosis assistance, efficient radiotherapy. In this paper, we provide a taxonomy of existing literature on quantum healthcare systems and identify the key requirements of quantum computing implementations in the healthcare paradigm. We also provide a through exploration of the application areas where quantum computing could transform traditional healthcare systems. Finally, we perform an extensive study of quantum cryptography from the perspective of healthcare systems to identify security vulnerabilities in traditional cryptography systems.</p>

scholarly journals Quantum Computing for Healthcare: A Review

2021 ◽  
Author(s):  
Adnan Qayyum
Keyword(s):  
Quantum Computing ◽  
Personalized Medicine ◽  
Dna Sequencing ◽  
Drug Research ◽  
Healthcare Systems ◽  
Extensive Study ◽  
Healthcare Applications ◽  
Security Vulnerabilities ◽  
Quantum Leap ◽  
Computing Performance

<p>Quantum computing is an emerging field of research that can provide a “quantum leap” in terms of computing performance and thereby enable many new exciting healthcare applications such as rapid DNA sequencing, drug research and discovery, personalized medicine, molecular simulations, diagnosis assistance, efficient radiotherapy. In this paper, we provide a taxonomy of existing literature on quantum healthcare systems and identify the key requirements of quantum computing implementations in the healthcare paradigm. We also provide a through exploration of the application areas where quantum computing could transform traditional healthcare systems. Finally, we perform an extensive study of quantum cryptography from the perspective of healthcare systems to identify security vulnerabilities in traditional cryptography systems.</p>

scholarly journals Quantum Computing for Healthcare: A Review

2021 ◽  
Author(s):  
Raihan Ur Rasool ◽  
Hafiz Farooq Ahmad ◽  
Wajid Rafique ◽  
Adnan Qayyum ◽  
Junaid Qadir
Keyword(s):  
Quantum Computing ◽  
Personalized Medicine ◽  
Dna Sequencing ◽  
Drug Research ◽  
Healthcare Systems ◽  
Extensive Study ◽  
Healthcare Applications ◽  
Security Vulnerabilities ◽  
Quantum Leap ◽  
Computing Performance

<p>Quantum computing is an emerging field of research that can provide a “quantum leap” in terms of computing performance and thereby enable many new exciting healthcare applications such as rapid DNA sequencing, drug research and discovery, personalized medicine, molecular simulations, diagnosis assistance, efficient radiotherapy. In this paper, we provide a taxonomy of existing literature on quantum healthcare systems and identify the key requirements of quantum computing implementations in the healthcare paradigm. We also provide a through exploration of the application areas where quantum computing could transform traditional healthcare systems. Finally, we perform an extensive study of quantum cryptography from the perspective of healthcare systems to identify security vulnerabilities in traditional cryptography systems.</p>

Clinical Cybersecurity Training Through Novel High Fidelity Simulations (Preprint)

2018 ◽  
Author(s):  
Christian Dameff ◽  
Jordan Selzer ◽  
Jonathan Fisher ◽  
James Killeen ◽  
Jeffrey Tully
Keyword(s):  
Patient Safety ◽  
Patient Care ◽  
Medical Devices ◽  
Healthcare Systems ◽  
High Fidelity ◽  
Protected Health Information ◽  
Patient Harm ◽  
Security Vulnerabilities ◽  
Clinical Simulations ◽  
Medical Infrastructure

BACKGROUND Cybersecurity risks in healthcare systems have traditionally been measured in data breaches of protected health information but compromised medical devices and critical medical infrastructure raises questions about the risks of disrupted patient care. The increasing prevalence of these connected medical devices and systems implies that these risks are growing. OBJECTIVE This paper details the development and execution of three novel high fidelity clinical simulations designed to teach clinicians to recognize, treat, and prevent patient harm from vulnerable medical devices. METHODS Clinical simulations were developed which incorporated patient care scenarios with hacked medical devices based on previously researched security vulnerabilities. RESULTS Clinician participants universally failed to recognize the etiology of their patient’s pathology as being the result of a compromised device. CONCLUSIONS Simulation can be a useful tool in educating clinicians in this new, critically important patient safety space.

scholarly journals Implementation of Fog computing in IoT-based healthcare system

2018 ◽  
Vol 14 (2) ◽  
Author(s):  
Mirjana Maksimović
Keyword(s):  
Healthcare System ◽  
Low Cost ◽  
Fog Computing ◽  
Healthcare Systems ◽  
Healthcare Sector ◽  
Smart Devices ◽  
New Paradigm ◽  
Healthcare Applications ◽  
Privacy And Security ◽  
Main Challenge

Nowhere do the technology advancements bring improvements than in the healthcare sector, constantly creating new healthcare applications and systems which completely revolutionize the healthcare domain. The appearance of Internet of Things (IoT) based healthcare systems has immensely improved quality and delivery of care, and significantly reduced the costs. At the same time, these systems generate the enormous amount of health-associated data which has to be properly gathered, analyzed and shared. The smart devices, as the components of IoT-driven healthcare systems, are not able to deal with IoT-produced data, neither data posting to the Cloud is the appropriate solution. To overcome smart devices’ and Cloud’s limitations the new paradigm, known as Fog computing, has appeared, where an additional layer processes the data and sends the results to the Cloud. Despite numerous benefits Fog computing brings into IoT-based environments, the privacy and security issues remain the main challenge for its implementation. The reasons for integrating the IoT-based healthcare system and Fog computing, benefits and challenges, as well as the proposition of simple low-cost system are presented in this paper.

Can the health care system be effective? - The research results

2020 ◽  
Vol 3 (14) ◽  
pp. 01-06
Author(s):  
Joanna Jasińska
Keyword(s):  
Health Care ◽  
Personalized Medicine ◽  
Healthcare System ◽  
Health Systems ◽  
Basic Problem ◽  
Economic Value ◽  
Healthcare Systems ◽  
Scientific Databases ◽  
Concepts Of Health

The different definitions of efficiency (in their medical meanings) are presented as the result of meta-reviews found in scientific databases. Efficacy and efficiency are often mismatched with effectiveness in the research of healthcare systems in different countries. In addition to the classic Bismarck’s and Beveridge’s models the modern concepts of health systems include personalized medicine, recognition of health as economic value. However, the basic problem in the Polish healthcare system is the low quality of overly specific and often changed legislation.

scholarly journals Making psychedelics into medicines: The politics and paradoxes of medicalization

2019 ◽  
Vol 4 (1) ◽  
pp. 34-39 ◽  
Author(s):  
Tehseen Noorani
Keyword(s):  
Cultural Context ◽  
Drug Research ◽  
Scale Up ◽  
Healthcare Systems ◽  
Ethnographic Research ◽  
Safety And Efficacy ◽  
Self Identity ◽  
Illicit Use ◽  
The Cost ◽  
Political Economic

This commentary considers efforts to turn psychedelics into medications that can be administered through healthcare systems as examples of “medicalization.” I draw on ethnographic research both inside and outside of university-based clinical trials from 2014 to date, together with analogous examples from psychiatry and drug research and development. Rather than taking a normative stance on medicalization, I situate it in a wider political, economic, and cultural context to better understand its logics and effects. I begin by suggesting the resurgence of psychedelic science has been concerned with medicalization from the outset, recently prompting a crisis in the “psychedelics community” over its self-identity and values. Next, against the confident public messaging surrounding psychedelics, I consider how attempts to scale up and market psychedelic-assisted therapy could end up undermining the safety and efficacy of the therapy itself. I then outline the movements to decriminalize, legalize, and minimize the harms and risks of using psychedelics in their currently illicit therapeutic and recreational modalities. Finally, I explore how working toward psychedelic medicalization over the coming years may influence the movements toward decriminalizing and legalizing psychedelics use, focusing on the underarticulated ways in which medicalization may disregard or even hinder, rather than help, decriminalization and legalization efforts. I call attention to how the cost of gaining approval for therapies incentivizes the development of diluted-yet-profitable forms of psychedelic-assisted treatments, and how frameworks developed for “proper use” demarcate what counts as “abuse” and enable those with newly sanctioned access to psychedelics to condemn afresh their illicit use.

scholarly journals IoMT-based biomedical measurement systems for healthcare monitoring: a review

ACTA IMEKO ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 174
Author(s):  
Imran Ahmed ◽  
Eulalia Balestrieri ◽  
Francesco Lamonaca
Keyword(s):  
Healthcare Systems ◽  
Future Research ◽  
Pressure Measurements ◽  
Healthcare Applications ◽  
Measurement Systems ◽  
Biomedical Equipment ◽  
Research Activities ◽  
Biomedical Measurement ◽  
Healthcare Monitoring ◽  
Internal Body

<p class="Abstract"><span lang="EN-US">Biomedical measurement systems (BMS) have provided new solutions for healthcare monitoring and the diagnosis of various chronic diseases. With a growing demand for BMS in the field of medical applications, researchers are focusing on advancing these systems, including Internet of Medical Things (IoMT)-based BMS, with the aim of improving bioprocesses, healthcare systems and technologies for biomedical equipment. This paper presents an overview of recent activities towards the development of IoMT-based BMS for various healthcare applications. Different methods and approaches used in the development of these systems are presented and discussed, taking into account some metrological aspects related to the requirement for accuracy, reliability and calibration. The presented IoMT-based BMS are applied to healthcare applications concerning, in particular, heart, brain and blood sugar diseases as well as internal body sound and blood pressure measurements. Finally, the paper provides a discussion about the shortcomings and challenges that need to be addressed along with some possible directions for future research activities.</span></p>

scholarly journals Security, Privacy, and Reliability in Digital Healthcare Systems Using Blockchain

Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 2034
Author(s):  
Aitizaz Ali ◽  
Hasliza A. Rahim ◽  
Muhammad Fermi Pasha ◽  
Rafael Dowsley ◽  
Mehedi Masud ◽  
...  
Keyword(s):  
Digital Health ◽  
Healthcare Systems ◽  
Security And Privacy ◽  
Security Vulnerabilities ◽  
Healthcare Data ◽  
Security Issues ◽  
Security Algorithm ◽  
Privacy Issues ◽  
Digital Healthcare ◽  
Centralized System

According to the security breach level index, millions of records are stolen worldwide on every single day. Personal health records are the most targeted records on the internet, and they are considered sensitive, and valuable. Security and privacy are the most important parameters of cryptography and encryption. They reduce the availability of data on patients and healthcare to the appropriate personnel and ultimately lead to a barrier in the transfer of healthcare into a digital health system. Using a permission blockchain to share healthcare data can reduce security and privacy issues. According to the literature, most healthcare systems rely on a centralized system, which is more prone to security vulnerabilities. The existing blockchain-based healthcare schemes provide only a data-sharing framework, but they lack security and privacy. To cope with these kinds of security issues, we have designed a novel security algorithm that provides security as well as privacy with much better efficiency and a lower cost. Hence, in this research, we have proposed a patient healthcare framework that provides greater security, reliability, and authentication compared to existing blockchain-based access control.

A Review of Recent Contribution in Agent-Based Health Care Modeling

2011 ◽  
pp. 356-373 ◽  
Author(s):  
Simerjit Gill ◽  
Raman Paranjape
Keyword(s):  
Health Care ◽  
Research Work ◽  
Healthcare Systems ◽  
Simulation And Modeling ◽  
Agent Based Simulation ◽  
Healthcare Applications ◽  
Recent Contribution ◽  
Agent Based ◽  
Modeling Techniques ◽  
Health Care Modeling

This chapter reviews and summarizes eight selected paper in the area of agent-based healthcare systems. The objective of the summaries is to provide an overview of recent research work in the area and to examine the characteristics of agent-based healthcare applications. The chapter also briefly discusses reasons for adopting agent-based simulation and modeling over traditional modeling techniques.

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