Digital Health Applications Acceptance Benefit Assessment And Costs From The Perspective Of Patients And Medical Professionals
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Digital Health Applications: Acceptance, Benefit Assessment, and Costs from the Perspective of Patients and Medical Professionals
Author: Tonio Schoenfelder
language: en
Publisher: Frontiers Media SA
Release Date: 2024-11-12
Digital health applications (DHAs) are increasingly being used in patient care in various healthcare systems around the world. In some countries, such as Belgium and Germany, legal frameworks already allow for DHA integration into standard care, and their prescription and uniform reimbursement via the patient´s health insurance. In many other European countries and the USA, such a process is still in development. DHAs are primarily used by patients themselves, but also in consultation with physicians, therapists, or other healthcare providers. They offer the potential for improved health outcomes, and increased access to health services, especially in rural areas, and may lead to an overall improvement in the quality of care. The validity of studies on the effects of DHAs on patients and health care systems, in general, is currently limited since study methods applied do often not allow for drawing causal relationships, and most studies focus only on patient outcomes but do not assess how traditional care processes need to be adapted so that DHAs can be effective. Therefore, unambiguous evidence on which patient-relevant outcomes can be improved, specifically as a result of integrating DHA into the process of care, is currently lacking.
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
Perspectives and Opinions in Health Services
This Research Topic includes high-quality Perspective articles and Opinion articles published in Frontiers in Health Services in 2022. The mission of the journal is to ultimately contribute to helping health systems improve both experiences and outcomes of patients, and make health systems more efficient. Perspective articles aim to present a viewpoint on a specific area within Health Services. The articles in this collection may discuss current advances and future directions and clearly present the author's perspective. Perspective articles should also provide an accurate presentation and citations of other authors’ work and may include original data as well as personal insights and opinions.