Personalized healthcare and its implications for medical practice. Personalized healthcare refers to the tailoring of medical treatments and interventions to individual patients based on their unique characteristics and needs. This approach takes into account the patient's genetic makeup, lifestyle habits, environmental factors, and personal preferences to optimize treatment outcomes. The main aim is to explore the various components of personalized healthcare, including genomics, pharmaceuticals, and digital health technologies. It examines how advances in these areas have facilitated the development of personalized medicine, where treatments are customized to target specific genetic mutations or biomarkers. Additionally, this chapter aims to address the potential of personalized healthcare to improve patient outcomes and reduce healthcare costs by avoiding unnecessary treatments and adverse events. The ethical and legal considerations surrounding personalized healthcare are also examined.
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In an era of rapidly evolving healthcare technologies, this chapter introduces a ground-breaking approach to healthcare management. The integration of Augmented Reality (AR) and Blockchain Technology promises a paradigm shift in the way patients receive personalized care, manage their health, and ensure the privacy and security of their medical data. This chapter explores the conceptualization, development, and implementation of an AR-based healthcare management system underpinned by blockchain, highlighting the potential to revolutionize the healthcare industry.
An augmentation reality with blockchain presents a cutting-edge approach to healthcare management that combines Augmented Reality (AR) and Blockchain technology. This integration has the potential to transform the healthcare industry by providing personalized care and ensuring the security of patient data.
This chapter begins by introducing the context of emerging healthcare technologies and the objectives of the research, highlighting the need for a novel system for personalized healthcare management.
It then delves into the fundamentals of AR in healthcare, explaining how AR enhances patient education, remote monitoring, and treatment adherence. The chapter also discusses the role of Blockchain technology in healthcare, particularly in securing patient data and improving interoperability and supply chain management.
The central focus of the chapter is the integration of AR and Blockchain in healthcare (Kuo et al., 2017). It explores how personalized healthcare can be realized through AR and how Blockchain ensures the security and integrity of patient data. Further the development of the AR-based healthcare management system, including its architecture, features, and user experience design. It provides case studies and applications of the system, showcasing its benefits in remote consultations, health monitoring, and medication adherence.
Using augmentation reality Security and privacy are critical concerns in healthcare, and the chapter addresses these issues by explaining how Blockchain technology is employed to safeguard patient data and ensure compliance with regulations.
Challenges and future prospects are also discussed, highlighting both the technical and regulatory challenges that must be overcome for successful implementation.
The field of clinical medicine that encompasses healthcare is one that relies heavily on the collection, storage, and distribution of massive amounts of data on a consistent basis. Because of the sensitive nature of the data and other limiting constraints, such as security and privacy, storing and sharing this vast quantity of data is essential, but it also presents a substantial challenge.
Sharing data in a way that is safe, secure, and scalable (SSS) is very necessary in the medical sector and in clinical settings in order to arrive at a diagnosis and to participate in unified clinical decision making. The practice of data sharing is very necessary since it enables healthcare practitioners to transmit the clinical data of their patients to the relevant authorities in order to facilitate a speedier follow-up process. The clinical data of these caregivers' patients should be able to be sent to the general practitioners who treat them in a timely way that is highly respectful of their patients' right to privacy. This will guarantee that both parties have access to accurate and comprehensive information on the health of their patients.