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Managing variety in healthcare through personalized medication
Published in Sergio Barile, Raul Espejo, Igor Perko, Marialuisa Saviano, Francesco Caputo, Cybernetics and Systems, 2018
Rita Patrizia Aquino, Sergio Barile, Antonio Grasso, Marialuisa Saviano
Massive investments in smart health technologies and an increasing use of Health Technology Assessment methods (Philips et al., 2004) characterize the interest of healthcare for technology, whose positive impact on quality, Efficiency and costs is widely recognized. The contribution of technology to the effectiveness of healthcare has received less attention, although increasing in particular in terms of service personalization.
Role of Artificial Intelligence-Based Technologies in Healthcare to Combat Critical Diseases
Published in Chinmay Chakraborty, Digital Health Transformation with Blockchain and Artificial Intelligence, 2022
Medical care and inpatient hospital care have deeply maintained the potential of being mostly administered digitally, but the digital transformation has indeed been moderate gradually. The truth of system inertia and delayed widespread adoption based on a variety of hurdles relating to reimbursements, licensing, and human factors have to temper expectations regarding digital transformation. Digital health encompasses a wide range of topics, including AI, the Internet of things, eHealth, and telemedicine, as well as the investigation and application of Big Data. It also opens up new opportunities for providing care to a bigger population. Digital health (e-health), according to the WHO, could play a ‘distinctive and crucial role in attaining global healthcare cover’ in many countries as it ‘expands the possibilities, accountability, and ease of access of healthcare and medical data, extending the massive community deserving of primary healthcare assistance and providing advancement and improvements.’ Jones et al. (2020) provides an overview of their research into the influence of digital health technology in addressing issues of healthcare accessibility and affordability. The US National Institutes of Health (NIH) Research Plan on Rehabilitation, launched in 2017, recognizes the importance of information and communications technology (ICT) to revitalize healthcare remediation with cell phone apps, which include: ‘illness tracking, real-time availability to data about patients, traversing the society’, according to their paper. The emergence of digital health applications will greatly extend rehabilitation opportunities for persons with impairments as the ICT industry continues to progress. Mobile health solutions have been released by major ICT firms and a slew of health-focused start-ups to enable the recording, preservation, and analysis of user health, activity, and metadata as well as management platforms to promote community and self-based activities other rehabilitation practices (e.g., Datu).
Healthcare System 4.0 Driven by Quantum Computing and Its Use Cases
Published in Thiruselvan Subramanian, Archana Dhyani, Adarsh Kumar, Sukhpal Singh Gill, Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network, 2023
Digital health technology, especially QC adoption, has been crucial during this time — relieving pressure on healthcare systems and enabling the continuation of healthcare for many in a virtual manner in the form of telemonitoring, apps, and AI. The adoption of QC by the healthcare system updates it to version 4.0 which is definitely going to serve fourfold objectives, namely, detecting disease very precisely and quickly thus paving the way for excellent healthcare, allowing treatment of ailments at an early stage and at a cheaper cost, strengthening patient experiences much towards reality, and upgrading medical professional technical practices to new approaches. The upgraded medical professional technical practices include silico trials on simulated humans that replace clinical trials on actual humans. It will cut down the risk involved in human trials to a minimum and facilitate coming up with the required drug with supersonic speed. It leads to hospital on cloud. Under a pandemic situation like COVID-19, such a system has got great relevance, wide application, and usage. COVID-19 drug discovery can be accelerated, automated, and done in an economical manner using quantum machine learning, a new field which is the combination of machine learning and quantum mechanics [11]. Lack of preparedness has been seen in the area of drug discovery. To devise an effective drug quickly enough, we need to do a lot of research and this drug research is a computationally-intensive task. We need to analyse the various kinds of interactions between the biomolecules and which ingredients are to be taken in what proportion. In order to tackle infectious agents such as viruses, there can be no other better way than to model the problem on a computer and conduct extensive research on the same. In the quest of finding a drug for coronavirus that prevents the virus from affecting human cells in a quick manner, the real need was to analyse a large number, nearly 8,000 compositions, in order to know those compounds that stick to its spike the most. This demanded extraordinary computational power. IBM deployed the world’s largest supercomputer, Summit, to assist in the quest. It allowed researchers to execute a huge number of computations involved in atomology and bionomics through their simulation models successfully. After that, they recommended 77 drug compositions that could be the candidates for clinical tests. This is how drug research can be accelerated through the high and fast computational power of QC systems.
Walking the line: balancing performance barriers and facilitators in an augmented reality mobile application for paediatric code cart training
Published in Ergonomics, 2022
Abigail R. Wooldridge, Widya A. Ramadhani, Keith Hanson, Elsa Vazquez-Melendez, Harleena Kendhari, Nadia Shaikh, Teresa Riech, Matthew Mischler, Sara Krzyzaniak, Ginger Barton, Kyle T. Formella, Zachary R. Abbott, John N. Farmer, Rebecca Ebert-Allen, Trina Croland
While new technology, such as the Code Cart AR app, can have positive, intended consequences, some consequences may be unanticipated and negative (Karsh et al. 2010). Although digital health technology is intended to increase patient safety and quality of care, poorly designed technology can inadvertently increase risk to patients and decrease productivity and satisfaction of health care professionals. To achieve the desired consequences while anticipating and avoiding the negative, designers must understand and proactively analyse the entire sociotechnical system (Daniellou 2005).