Healthcare 4.0: Trends, Challenges and Benefits

The Fourth Industry Revolution, known as Industry 4.0, refers to the forces that are transforming industry, including the healthcare industry, where it has been termed Healthcare 4.0. Though lagging other industries in the adoption of new innovative technologies, the healthcare industry is embracing the potential benefits that arise from new innovative technologies. New trends revealed both in the academic literature and by industry practice show that researchers and practitioners are becoming more aware of the benefits technology can bring to an industry as complex as the healthcare industry. The object of the study is to identify the challenges, trends and gaps in the existing body of research with regard to Healthcare 4.0. In this study, a systematic literature review on Healthcare 4.0 research papers was conducted to identify trends, challenges and the perceived benefits that may arise from it. This paper found that there is a need to conduct more empirical studies in this area. It, further, identified the need to implement practical procedures in the industry to get feedback from patients and healthcare participants in order to promote the adoption of new Healthcare 4.0 technologie

Fisioten: Sistema Integral de Fisioterapia para Pacientes con Tendinitis

En el Perú hay alrededor de 49000 pacientes que reciben fisioterapia por discapacidad motora, pero esto solo representa el 5.25% de los afectados. El tratamiento de tendinitis es fundamental y debe realizarse con constancia. Para ello, se desarrollan protocolos de técnicas mixtas que involucran diversas sesiones fisioterapéuticas; sin embargo, estos procedimientos no son integrados para diferentes áreas afectadas, requieren de atención especializada y dependen de la capacidad física de los pacientes. Mediante este estudio se propone el Fisioten, un sistema integral de fisioterapia de tendinitis compuesto de técnicas de rehabilitación para hombro, rodilla y tendón, en una misma estación; que no solo facilita la labor del profesional médico, sino que permite al paciente manejar su tratamiento independientemente, de forma práctica e inclusiva. Se utilizaron herramientas observacionales y encuestas para definir los requerimientos necesarios con los que se desarrolló el modelo conceptual, que luego fue validado a partir de opiniones de expertos sobre su practicidad y eficacia en la fisioterapia de tendinitis. Fisioten brinda a sus usuarios la capacidad de realizar múltiples técnicas de fisioterapia sin la necesidad de asistir a distintas citas de atención médica, y la posibilidad de continuar la rehabilitación en la comodidad del hogar

Industry 4.0:use of digitalization in healthcare

The primary objective of this chapter is to examine the AI applications for healthcare 4.0. Using a wide range of contemporary technologies, such as digitization, artificial intelligence, user response data (ergonomics), human psychology, the internet of things, machine learning, big data mining, and augmented reality, one of the great success stories of our day is healthcare. Worldwide life expectancy has increased due to the tremendous advancements in medical research. But when people live longer, healthcare systems must deal with more people needing their services, more money spent on them, and a staff that finds it more challenging to care for patients. A healthy, productive society depends heavily on the healthcare industry, making it one of the most critical industries in the larger big data environment. Artificial intelligence (AI), which builds on automation, has the potential to transform healthcare and assist in addressing some of the issues mentioned above. AI can support healthcare professionals, including physicians and nurses, in their day-to-day jobs. Artificial intelligence (AI) can improve patient outcomes by enhancing the quality of life and preventive care and producing more accurate diagnoses and treatment regimens. This book provides an overview of the most recent advancements in artificial intelligence (AI) applications in biomedicine, encompassing pharmaceutical processing, disease diagnosis, patient monitoring, biomedical information, and biomedical research. A summary of the most recent developments in the use of AI in healthcare is also provided, along with a road map for creating safe, dependable, and efficient AI systems and a discussion of potential future directions for AI-assisted healthcare systems. Numerous uses of AI exist in the medical field. Healthcare 4.0 has brought about a paradigm shift in the healthcare industry, drawing inspiration from Industry 4.0. Therefore, how the digital revolution in healthcare will affect the quality of medical care is still being determined. This study results will help the new researchers and healthcare institutions

Serious games and in-cloud data analytics for the virtualization and personalization of rehabilitation treatments

During the last years, the significant increase in the number of patients in need of rehabilitation has generated an unsustainable economic impact on healthcare systems, implying a reduction in therapeutic supervision and support for each patient. To address this problem, this paper proposes a tele-rehabilitation system based on serious games and in-cloud data analytics services, in accordance with Industry 4.0 design principles regarding modularity, service orientation, decentralization, virtualization and real-time capability. The system, specialized for post-stroke patients, comprises components for real-time acquisition of patient's motor data and a decision support service for their analysis. Raw data, reports, and recommendations are made available on the cloud to clinical operators to remotely assess rehabilitation outcomes and dynamically improve therapies. Furthermore, the results of a pilot study on the clinical impact deriving from the adoption of the proposed solution, and of a qualitative analysis about its acceptance, are presented and discussed