Development Of A Model For Enhancing Data Security In Medical Information System
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Development Of A Model For Enhancing Data Security In Medical Information System
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Author : Habib Bin-Ahmad
language : en
Publisher:
Release Date : 2012
Development Of A Model For Enhancing Data Security In Medical Information System written by Habib Bin-Ahmad and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Since many countries have started using Healthcare and Medical Emergency System, the data confidentiality becomes a major problem for healthcare and medical emergency system because it accumulates significant information. Sharing of private information via the Internet is easy to intercept by unauthorized parties. Attackers can access private information by capturing data transmission and forging themselves as authorized user. This research addresses the confidentiality issue by designing and developing a new model of data security in Medical Information System. It also provides a view of data sensitivity and suggested areas in cryptography to protect data at different sensitivity levels. Multilevel security in Medical Emergency System is proposed since a database contains information of various confidential levels of data. Information related Medical Emergency System is classified into several categories. A suitable cryptography is provided for each level of data sensitivity to support Medical Emergency System. The results of implementation indicated that it keeps specific sensitive data confidentially at a certain degree with a good performance even though we applied triple key encryption mechanism and multilevel security by comparing with SSL and PGP. Performance, response time, receiving and sending speed are the factor of test. Those tests were performed with a prototype of medical emergency system data in our research group case in Malaysia.
Data Security For Health Care
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Author : SEISMED Consortium
language : en
Publisher: IOS Press
Release Date : 1996
Data Security For Health Care written by SEISMED Consortium and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Health & Fitness categories.
The efficiency of modern health care relies more and more upon a computerised infrastructure. Open distributed information systems have started to bring professionals together from all over the world. On the one hand easy processing and communication of images, sound and texts will help to visualize and therefore treat illnesses and diseases efficiently, on the other hand the very ease of access and use can threaten patient privacy, accountability and health care professional secrecy. Developments in community care are responsible for the fact that many aspects of patient care are delivered outside the closed walls of a hospital and hence patient records must also be accessible and updated throughout the community. Therefore, the introduction of information technology should focus primarily on the improvement of the health of patients or, at least, not putting patients' health at risk. This means that the right data has to be available to the right person at the right time (availability). Information technology deeply affects the confidential relationship between patient and doctor, since it increasingly surrounds and mediates it. Information systems in health care establishments are increasingly developing towards an integrated system where various users can interact and communicate. The process of integration will cross the borders of local health care establishments and it will progressively expand, e.g., into patients' homes, into a European health care community, in order to support the mobility of patients, the exchange of medical and administrational data, transfer of bills and money.
Federated Learning For Digital Healthcare Systems
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Author : Agbotiname Lucky Imoize
language : en
Publisher: Elsevier
Release Date : 2024-06-10
Federated Learning For Digital Healthcare Systems written by Agbotiname Lucky Imoize and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-10 with Computers categories.
Federated Learning for Digital Healthcare Systems critically examines the key factors that contribute to the problem of applying machine learning in healthcare systems and investigates how federated learning can be employed to address the problem. The book discusses, examines, and compares the applications of federated learning solutions in emerging digital healthcare systems, providing a critical look in terms of the required resources, computational complexity, and system performance. In the first section, chapters examine how to address critical security and privacy concerns and how to revamp existing machine learning models. In subsequent chapters, the book's authors review recent advances to tackle emerging efficient and lightweight algorithms and protocols to reduce computational overheads and communication costs in wireless healthcare systems. Consideration is also given to government and economic regulations as well as legal considerations when federated learning is applied to digital healthcare systems. Provides insights into real-world scenarios of the design, development, deployment, application, management, and benefits of federated learning in emerging digital healthcare systems Highlights the need to design efficient federated learning-based algorithms to tackle the proliferating security and patient privacy issues in digital healthcare systems Reviews the latest research, along with practical solutions and applications developed by global experts from academia and industry
Data Security For Health Care Technical Guidelines
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Author : SEISMED Consortium
language : en
Publisher: Ios PressInc
Release Date : 1996
Data Security For Health Care Technical Guidelines written by SEISMED Consortium and has been published by Ios PressInc this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Health & Fitness categories.
The efficiency of modern health care relies more and more upon a computerised infrastructure. Open distributed information systems have started to bring professionals together from all over the world. On the one hand easy processing and communication of images, sound and texts will help to visualize and therefore treat illnesses and diseases efficiently, on the other hand the very ease of access and use can threaten patient privacy, accountability and health care professional secrecy. Developments in community care are responsible for the fact that many aspects of patient care are delivered outside the closed walls of a hospital and hence patient records must also be accessible and updated throughout the community. Therefore, the introduction of information technology should focus primarily on the improvement of the health of patients or, at least, not putting patients' health at risk. This means that the right data has to be available to the right person at the right time (availability). Information technology deeply affects the confidential relationship between patient and doctor, since it increasingly surrounds and mediates it. Information systems in health care establishments are increasingly developing towards an integrated system where various users can interact and communicate. The process of integration will cross the borders of local health care establishments and it will progressively expand, e.g., into patients' homes, into a European health care community, in order to support the mobility of patients, the exchange of medical and administrational data, transfer of bills and money.
Design And Implementation Of Health Information Systems
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Author : World Health Organization Staff
language : en
Publisher:
Release Date : 2000
Design And Implementation Of Health Information Systems written by World Health Organization Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Medical categories.
This book provides a practical guide to the design and implementation of health information systems in developing countries. Noting that most existing systems fail to deliver timely, reliable, and relevant information, the book responds to the urgent need to restructure systems and make them work as both a resource for routine decisions and a powerful tool for improving health services. With this need in mind, the authors draw on their extensive personal experiences to map out strategies, pinpoint common pitfalls, and guide readers through a host of conceptual and technical options. Information needs at all levels - from patient care to management of the national health system - are considered in this comprehensive guide. Recommended lines of action are specific to conditions seen in government-managed health systems in the developing world. In view of common constraints on time and resources, the book concentrates on strategies that do not require large resources, highly trained staff, or complex equipment. Throughout the book, case studies and numerous practical examples are used to explore problems and illustrate solutions. Details range from a list of weaknesses that plague most existing systems, through advice on when to introduce computers and how to choose appropriate software and hardware, to the hotly debated question of whether patient records should be kept by the patient or filed at the health unit. The book has fourteen chapters presented in four parts. Chapters in the first part, on information for decision-making, explain the potential role of health information as a managerial tool, consider the reasons why this potential is rarely realized, and propose general approaches for reform which have proved successful in several developing countries. Presentation of a six-step procedure for restructuring information systems, closely linked to an organizational model of health services, is followed by a practical discussion of the decision-making process. Reasons for the failure of most health information to influence decisions are also critically assessed. Against this background, the second and most extensive part provides a step-by-step guide to the restructuring of information systems aimed at improving the quality and relevance of data and ensuring their better use in planning and management. Steps covered include the identification of information needs and indicators, assessment of the existing system, and the collection of both routine and non-routine data using recommended procedures and instruments. Chapters also offer advice on procedures for data transmission and processing, and discuss the requirements of systems designed to collect population-based community information. Resource needs and technical tools are addressed in part three. A comprehensive overview of the resource base - from staff and training to the purchase and maintenance of equipment - is followed by chapters offering advice on the introduction of computerized systems in developing countries, and explaining the many applications of geographic information systems. Practical advice on how to restructure a health information system is provided in the final part, which considers how different interest groups can influence the design and implementation of a new system, and proposes various design options for overcoming specific problems. Experiences from several developing countries are used to illustrate strategies and designs in terms of those almost certain to fail and those that have the greatest chances of success
Healthcare Information Management Systems
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Author : Joan M. Kiel
language : en
Publisher: Springer
Release Date : 2022-11-20
Healthcare Information Management Systems written by Joan M. Kiel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-20 with Medical categories.
This new edition of the classic textbook provides bold and honest descriptions of the current and evolving state of US healthcare information technology. Emerging technologies and novel practice and business models are changing the delivery and management of healthcare, as innovation and adoption meet new needs and challenges, such as those posed by the recent COVID-19 pandemic. Many facets of these are presented in this volume: • The increasing mutual impact of information technology and healthcare with respect to costs, workforce training and leadership • The changing state of healthcare IT privacy, security, interoperability and data sharing through health information exchange • The rise and growing importance of telehealth/telemedicine in the era of COVID-19 • Innovations and trends in the development and deployment of health IT in public health, disease modeling and tracking, and clinical/population health research • Current work in health IT as it is used in patient safety, chronic disease management, critical care, rehabilitation/long-term/home-based patient care and care coordination • “Brave new world” visions of healthcare and health IT, with forward- looking considerations of the impact of artificial intelligence, machine learning on healthcare equity and policy Building on the success of previous editions, this 5th edition of Healthcare Information Management Systems: Cases, Strategies, and Solutions provides healthcare professionals insights to new frontiers and to the directions being taken in the technical, organizational, business and management aspects of information technology in the ongoing quest to optimize healthcare quality and cost, and to improve universal health at all levels.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
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
Analysis Of Health Record Standards For Electronic Health Record System Model
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Author : Kanade Prashant Vilas
language : en
Publisher:
Release Date : 2023-04-30
Analysis Of Health Record Standards For Electronic Health Record System Model written by Kanade Prashant Vilas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-30 with Health & Fitness categories.
The adoption of electronic health record (EHR) systems has become increasingly widespread, with many healthcare organizations implementing these systems to improve patient care, enhance clinical decision-making, and increase operational efficiencies. One of the key factors in the successful implementation of EHR systems is the use of health record standards that promote data exchange, interoperability, and data quality.The analysis of health record standards for electronic health record system models involves several key components. The first step is to identify the relevant health record standards, which may include international, national, and local standards. These standards provide guidelines for the collection, storage, exchange, and use of health information in EHR systems.Once the relevant health record standards have been identified, the next step is to evaluate the extent to which these standards are being used in EHR system models. This involves analyzing the EHR system models to determine how they incorporate the various health record standards and to identify any gaps or areas for improvement. An important aspect of this analysis is the evaluation of data exchange and interoperability standards. These standards define the technical requirements for the exchange of health information between EHR systems, which is essential for supporting continuity of care and improving patient outcomes. This evaluation should also consider data privacy and security standards to ensure that patient health information is protected and secure. Another key component of the analysis is the evaluation of health data quality standards. These standards provide guidelines for ensuring that health data is accurate, complete, and accessible. This is important for supporting clinical decision-making and improving patient outcomes. The final step in the analysis is to develop recommendations for improving the use of health record standards in EHR system models. These recommendations may include the adoption of new standards, the modification of existing standards, or the development of guidelines for the implementation of health record standards in EHR systems. These recommendations should be based on the findings of the analysis and should be designed to promote the use of health record standards to improve patient care and outcomes. In conclusion, the analysis of health record standards for electronic health record system models is an important component of the successful implementation of EHR systems. By evaluating the use of health record standards and developing recommendations for their adoption and implementation, healthcare organizations can promote data exchange, interoperability, and data quality, which are essential for improving patient care and outcomes Completed Government of India, Ministry of Health and Family Welfare has provided guidelines for electronic health record system to maintain patient's health related information. These guidelines were issued in 2013 and amendments were made in 2016. There are various challenges towards implementation of Electronic health record system in India. In 12th Five Year Plan there is recommendation to establish Universal health coverage. Information and communication technology is also a major concern regarding health care services. Interoperability of health record is also a major concern in the guidelines provided by ministry of Health and Family welfare. In India there is no any effective model adopted by various medical practitioners and healthcare service centre. Most of the countries are having their own effective electronic health record system. Patient record is maintained on central servers in prescribed format. Patients visit the doctor or at a medical facility Centre for some health related problems.
Security And Privacy Issues In Internet Of Medical Things
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Author : Rajkumar Buyya
language : en
Publisher: Academic Press
Release Date : 2023-02-14
Security And Privacy Issues In Internet Of Medical Things written by Rajkumar Buyya and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-14 with Science categories.
Security and Privacy Issues in Internet of Medical Things addresses the security challenges faced by healthcare providers and patients. As IoMT devices are vulnerable to cyberattacks, and a security breach through IoMT devices may act as a pathway for hackers to enter hospital networks, the book covers a very timely topic. The incorporation of blockchain in the healthcare environment has given birth to the Internet of Medical Things (IoMT), which consists of a collection of healthcare systems that espouse groundbreaking technologies. Systems consist of inter-linked sensors, wearable technology devices and clinical frameworks that perform explicit, secure machine-to-machine and cloud platform communications. The significance of IoMT in the field of healthcare is undoubtedly a win-win situation for patients through technology enhancements and a collection of analytics that helps in better diagnosis and treatment. Due to higher accuracy levels, IoMT devices are more reliable in reporting and data tracking and help avoid human errors and incorrect reporting. Provides methods for constructing novel IoMT architectures and middleware services for healthcare applications to protect and secure patient data and privacy Presents readers with information security and privacy models for IoMT, including Artificial Intelligence and Deep Learning, Data Storage security, Cloud, Fog and Edge computing security, and Wireless sensor device security Provides readers with case studies for real-world applications of IoMT security, including risk assessment for IoMT, Ethical issues in IoMT, Security assessment frameworks, and Threat-based security analysis for IoMT
Big Data Analytics In Healthcare
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Author : Anand J. Kulkarni
language : en
Publisher: Springer Nature
Release Date : 2019-10-01
Big Data Analytics In Healthcare written by Anand J. Kulkarni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-01 with Technology & Engineering categories.
This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.