Preparing Healthcare Workers For An Ai Driven Workplace
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Preparing Healthcare Workers for an AI-Driven Workplace
A large number of healthcare employees, whether they are on the frontlines or in management, work in complex, fluid environments. They must perform a diverse number of sometimes intricate tasks on a daily basis as well as excel in handling ad hoc interactions with patients, residents, coworkers, or other stakeholders. In the coming years, these workers will also have to adjust to disruptions in their workplaces that are brought about by the introduction of new Artificial Intelligence (AI) systems and health information technologies (HITs) into their offices and clinics. Many of these workers will find themselves competing for jobs not only with other humans but also with machines. Preparing Healthcare Workers for an AI-Driven Workplace helps healthcare professionals to develop their core critical thinking skills while also enabling them to develop methodologies for successfully completing complex projects by themselves, dealing with ad hoc interactions, and taking advantage of the coming AI- and IT-driven changes in their workplaces. The book begins with explaining why healthcare workers, whether they work on the frontlines or in management, need to be strong critical thinkers. It breaks down “critical thinking” into its key elements and provides methods that readers can use to help them to master critical thinking and grow to become elite critical thinkers. The book also provides tips on how to handle ad hoc conversations with supervisors, coworkers, patients, residents, and other stakeholders. Examining how AI- and IT-related developments will transform the healthcare ecosystem in the coming years, the book identifies key mindsets and strategies for thriving in technologically rich healthcare environments.
Artificial Intelligence in Healthcare
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
The Oxford Handbook of Ethics of AI
Author: Markus D. Dubber
language: en
Publisher: Oxford University Press
Release Date: 2020-06-30
This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."