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Books > Medicine > General issues > Health systems & services
While the genesis of the Certified Child Life Specialists (CCLS) is
in the healthcare setting, the theory and practice of child life
has been successfully applied to environments outside of the
healthcare field. The interest and pursuit of child life roles in
non-healthcare settings have increasingly become of interest to
students and professionals; however, further study is required to
understand the various challenges and opportunities. The Role of
Child Life Specialists in Community Settings serves as an
innovative guide for those interested in pursuing child life in
diverse settings with the education and credentials received
through their child life certification and addresses issues the
field currently faces related to saturation of the field, burn out,
and diversity, equity, and inclusion. The book also serves as a
catalyst to push the profession as a whole beyond its current
healthcare boundaries. Covering topics such as grief, addiction,
disaster relief, and family wellbeing, this major reference work is
ideal for psychologists, medical professionals, nurses,
policymakers, government officials, researchers, scholars,
academicians, practitioners, instructors, and students.
The COVID-19 Pandemic will likely be seen as having had a profound
effect on how we live and work, as well its economic and health
repercussions. But it also brought ethical issues and challenges
into focus, from 'Fake News' to issues of individual freedom. The
COVID-19 Pandemic: Ethical Challenges and Considerations addresses
issues including the right to vaccinate, and the right to refuse
vaccination; the responsibilities of government in a pandemic; the
individual or collective locus of moral agency; the moral
responsibility of the media in a pandemic; the ethical, moral and
practical lessons from COVID 19. This is a companion book to
Ethical Implications of COVID-19 Management: Evaluating the
Aftershock, also published by Ethics International Press (ISBN:
978-1-80441-080-6.
The medical domain is home to many critical challenges that stand
to be overcome with the use of data-driven clinical decision
support systems (CDSS), and there is a growing set of examples of
automated diagnosis, prognosis, drug design, and testing. However,
the current state of AI in medicine has been summarized as "high on
promise and relatively low on data and proof." If such problems can
be addressed, a data-driven approach will be very important to the
future of CDSSs as it simplifies the knowledge acquisition and
maintenance process, a process that is time-consuming and requires
considerable human effort. Diverse Perspectives and
State-of-the-Art Approaches to the Utilization of Data-Driven
Clinical Decision Support Systems critically reflects on the
challenges that data-driven CDSSs must address to become mainstream
healthcare systems rather than a small set of exemplars of what
might be possible. It further identifies evidence-based, successful
data-driven CDSSs. Covering topics such as automated planning,
diagnostic systems, and explainable artificial intelligence, this
premier reference source is an excellent resource for medical
professionals, healthcare administrators, IT managers, pharmacists,
students and faculty of higher education, librarians, researchers,
and academicians.
The unprecedented nature of the COVID-19 pandemic impacted
individuals, families, communities, states, and countries in ways
that were never expected. A closer study of how the pandemic
affected different areas of individuals' development and mental and
physical health, while also offering best practices and therapies
for contending with extreme changes in life, is necessary to
successfully move forward. The Impact of the COVID-19 Pandemic on
Child, Adolescent, and Adult Development delves into how the
COVID-19 pandemic impacted schooling, relationships, and mental,
physical, and developmental health as well as how it adversely
impacted those with disabilities. This publication is beneficial to
those in academic settings within a variety of disciplines
including psychology, sociology, epidemiology, public health, among
others, as well as for laypeople and educational institutions who
are trying to work through the impact of the pandemic and to better
comprehend the changes, aftermath, and best practices for
progressing. Covering a range of topics such as creative art
therapy and child abuse, this essential reference is ideal for
researchers, academicians, practitioners, administrators,
instructors, counselors, and students.
The COVID-19 pandemic has put massive stress on healthcare
professionals' formal training, their creed to do no harm, and the
patient safety movement. COVID-19 affects all aspects of daily life
and healthcare's organizational culture and values. Healthcare
institutions experience absenteeism, change in commerce patterns,
and interrupted supply/delivery in this context. It has also
revealed the extensive amounts of data needed for population health
management, as well as the opportunities afforded by mainstreaming
telehealth and virtual care capabilities, thus making the
implementation of health IT essential in the post-pandemic era.
Quality of Healthcare in the Aftermath of the COVID-19 Pandemic
clarifies how healthcare professionals might provide their services
differently than treating a patient through its vicinity with
multiple providers. It examines the notion that healthcare
education requires a pack of healthcare workers from varied
educational backgrounds and training levels for the nuances of a
disease. Covering topics such as blockchain technology, power
density analysis, and supply chain, this book is a valuable
resource for undergraduate and extended degree program students,
graduate students of healthcare quality and health services
management, healthcare managers, health professionals, researchers,
professors, and academicians.
Providing an integrated and multi-level analysis of the impacts of
COVID-19 on people, place, economies and policies, across the
globe, this timely book explores how the global response to the
COVID-19 pandemic combines failure with success. It focuses on
exploring rapid adaptation and improvisation by individuals,
organisations and governments as they attempted to minimise and
mitigate the socio-economic and health impacts of the pandemic.
Interdisciplinary chapters written by social policy, geography,
planning, policy, sociology and public health experts explore the
broader impacts of COVID-19, positioning the pandemic in the
context of wider trends and risks including climate change.
Chapters highlight the importance of place and local contexts in
understanding its impacts in different settings including Europe,
Canada, North America, South Korea, South Africa and Lebanon. In
doing so, the book develops a pandemic preparedness, responsiveness
and recovery research framework and intends to inform post-pandemic
policy development and research. This is an important book for
geography, social policy, politics, urban studies, planning and
business and management researchers and students, particularly
those focusing on crisis management and risk and resilience. With
key case studies from across the globe, it will help elucidate key
issues for policy makers and practitioners across a range of
sectors including strategic management, social policy, public
health and the built environment.
In healthcare, a digital twin is a digital representation of a
patient or healthcare system using integrated simulations and
service data. The digital twin tracks a patient's records,
crosschecks them against registered patterns and analyses any
diseases or contra indications. The digital twin uses adaptive
analytics and algorithms to produce accurate prognoses and suggest
appropriate interventions. A digital twin can run various medical
scenarios before treatment is initiated on the patient, thus
increasing patient safety as well as providing the most appropriate
treatments to meet the patient's requirements. Digital Twin
Technologies for Healthcare 4.0 discusses how the concept of the
digital twin can be merged with other technologies, such as
artificial intelligence (AI), machine learning (ML), big data
analytics, IoT and cloud data management, for the improvement of
healthcare systems and processes. The book also focuses on the
various research perspectives and challenges in implementation of
digital twin technology in terms of data analysis, cloud management
and data privacy issues. With chapters on visualisation techniques,
prognostics and health management, this book is a must-have for
researchers, engineers and IT professionals in healthcare as well
as those involved in using digital twin technology, AI, IoT &
big data analytics for novel applications.
Explainable artificial intelligence is proficient in operating and
analyzing the unconstrainted environment in fields like robotic
medicine, robotic treatment, and robotic surgery, which rely on
computational vision for analyzing complex situations. Explainable
artificial intelligence is a well-structured customizable
technology that makes it possible to generate promising unbiased
outcomes. The model's adaptability facilitates the management of
heterogeneous healthcare data and the visualization of biological
structures through virtual reality. Explainable artificial
intelligence has newfound applications in the healthcare industry,
such as clinical trial matching, continuous healthcare monitoring,
probabilistic evolutions, and evidence-based mechanisms. Principles
and Methods of Explainable Artificial Intelligence in Healthcare
discusses explainable artificial intelligence and its applications
in healthcare, providing a broad overview of state-of-the-art
approaches for accurate analysis and diagnosis. The book also
encompasses computational vision processing techniques that handle
complex data like physiological information, electronic healthcare
records, and medical imaging data that assist in earlier
prediction. Covering topics such as neural networks and disease
detection, this reference work is ideal for industry professionals,
practitioners, academicians, researchers, scholars, instructors,
and students.
This book is centered around the development of agile,
high-performing healthcare institutions that are well integrated
into their environment. The aim is to take advantage of artificial
intelligence, optimization and simulation methods to provide
solutions to prevent, anticipate, monitor and follow public health
developments in order to intervene at the right time, using tools
and resources that are both appropriate and effective. The focus is
on the people involved - the patients, as well as medical,
technical and administrative staff - in an effort to provide an
efficient healthcare and working environment that meets safety,
quality and productivity requirements. Heathcare Systems has been
written by healthcare professionals, researchers in science and
technology as well as in the social sciences and humanities from
various French-speaking countries. It explores the challenges and
opportunities presented by digital technology in our practices,
organizations and management techniques.
Discussing the Spanish Flu, HIV/AIDs, SARS and Ebola against the
background of Covid-19, Pandemic Economics demonstrates how
scientists consistently warned the world about pandemics, and how,
despite this, the possibility of global lockdown caused
unprecedented economic policies and ruin. The book prepares for the
next pandemic, that unquestionably will arrive, the impact of which
is predicted to potentially exceed that of the current Covid-19
wreckage. Highlighting how economic theory can anticipate a
pandemic's impact despite the uncertainty and unreliability of
traditional statistics, Peter van Bergeijk assesses the lack of
preparation by international economic institutions and the ability
for humanity to deeply hurt the economy by its response to
infectious disease. Chapters offer an overview and critical
analysis of global non-pharmaceutical interventions and economic
policies in response to the Covid-19 pandemic. Looking forward, the
book investigates the economic impact, policy (in)effectiveness and
resilience in different social contexts, illustrating a pandemic
trilemma of health, freedom and the economy. It suggests how to
prepare for the next pandemic at the individual level, in city
planning, nationally, internationally and globally, with a focus on
analysing the impact of pandemics from a global perspective.
Pandemic Economics will be a stimulating read for (health)
economics and development studies scholars as it provides a
historic overview of the uneven impact of pandemics, with up to
date studies of the effect of the Covid-19 pandemic. The
forward-looking suggestions for economic policies and preparations
for future pandemics will also make this an important read for
economic and health policy makers.
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