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Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309124999
Category : Computers
Languages : en
Pages : 334
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Book Description
In the realm of health care, privacy protections are needed to preserve patients' dignity and prevent possible harms. Ten years ago, to address these concerns as well as set guidelines for ethical health research, Congress called for a set of federal standards now known as the HIPAA Privacy Rule. In its 2009 report, Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research, the Institute of Medicine's Committee on Health Research and the Privacy of Health Information concludes that the HIPAA Privacy Rule does not protect privacy as well as it should, and that it impedes important health research.
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309124999
Category : Computers
Languages : en
Pages : 334
Get Book
Book Description
In the realm of health care, privacy protections are needed to preserve patients' dignity and prevent possible harms. Ten years ago, to address these concerns as well as set guidelines for ethical health research, Congress called for a set of federal standards now known as the HIPAA Privacy Rule. In its 2009 report, Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research, the Institute of Medicine's Committee on Health Research and the Privacy of Health Information concludes that the HIPAA Privacy Rule does not protect privacy as well as it should, and that it impedes important health research.
Author: Jerry Green
Publisher: IBM Redbooks
ISBN: 0738454400
Category : Computers
Languages : en
Pages : 88
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Book Description
Is Lean a fit for your healthcare organization? Various methodologies can be used to help organizations achieve their objectives depending on their criteria: lowest risk of failure, fast to resolution, or lowest cost for deployment. But what every organization should consider is which methodology will have the greatest impact. Lean, a systematic approach to understanding and optimizing processes, may be the fit for your organization. Learn more in this new IBM® RedpaperTM publication, A Guide to Lean Healthcare Workflows, by Jerry Green and Amy Valentini of Phytel (An IBM Company). The paper delves into the five steps of Lean: Define value from the patient's perspective Map the value stream, and identify issues and constraints Remove waste, and make the value flow without interruption Implement the solution, and allow patients to pull value Maintain the gain, and pursue perfection It describes each step in-depth and includes techniques, example worksheets, and materials that can be used during the overall analysis and implementation process. And it provides insights that are derived from the real-world experience of the authors. This paper is intended to serve as a guide for readers during a process-improvement project and is not necessarily intended to be read end-to-end in one sitting. It is written primarily for clinical practitioners to use as a step-by-step guide to lean out clinical workflows without having to rely on complex statistical hypothesis-testing tools. This guide can also be used by clinical or nonclinical practitioners in non-patient-centered workflows. The steps are based on a universal Lean language that uses industry-standard terms and techniques and, therefore, can be applied to almost any process.
Author: United States. Federal Aviation Administration
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 276
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Book Description
Author:
Publisher:
ISBN:
Category : Business
Languages : en
Pages : 2786
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Book Description
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309072808
Category : Medical
Languages : en
Pages : 360
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Book Description
Second in a series of publications from the Institute of Medicine's Quality of Health Care in America project Today's health care providers have more research findings and more technology available to them than ever before. Yet recent reports have raised serious doubts about the quality of health care in America. Crossing the Quality Chasm makes an urgent call for fundamental change to close the quality gap. This book recommends a sweeping redesign of the American health care system and provides overarching principles for specific direction for policymakers, health care leaders, clinicians, regulators, purchasers, and others. In this comprehensive volume the committee offers: A set of performance expectations for the 21st century health care system. A set of 10 new rules to guide patient-clinician relationships. A suggested organizing framework to better align the incentives inherent in payment and accountability with improvements in quality. Key steps to promote evidence-based practice and strengthen clinical information systems. Analyzing health care organizations as complex systems, Crossing the Quality Chasm also documents the causes of the quality gap, identifies current practices that impede quality care, and explores how systems approaches can be used to implement change.
Author: Bhavani Thuraisingham
Publisher: CRC Press
ISBN: 1000557502
Category : Computers
Languages : en
Pages : 457
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Book Description
Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science.
Author:
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1948
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Book Description
Author: David L. Carter
Publisher: Createspace Independent Pub
ISBN: 9781477694633
Category : Law
Languages : en
Pages : 318
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Book Description
This intelligence guide was prepared in response to requests from law enforcement executives for guidance in intelligence functions in a post-September 11 world. It will help law enforcement agencies develop or enhance their intelligence capacity and enable them to fight terrorism and other crimes while preserving community policing relationships. The world of law enforcement intelligence has changed dramatically since September 11, 2001. State, local, and tribal law enforcement agencies have been tasked with a variety of new responsibilities; intelligence is just one. In addition, the intelligence discipline has evolved significantly in recent years. As these various trends have merged, increasing numbers of American law enforcement agencies have begun to explore, and sometimes embrace, the intelligence function. This guide is intended to help them in this process. The guide is directed primarily toward state, local, and tribal law enforcement agencies of all sizes that need to develop or reinvigorate their intelligence function. Rather than being a manual to teach a person how to be an intelligence analyst, it is directed toward that manager, supervisor, or officer who is assigned to create an intelligence function. It is intended to provide ideas, definitions, concepts, policies, and resources. It is a primera place to start on a new managerial journey. Every law enforcement agency in the United States, regardless of agency size, must have the capacity to understand the implications of information collection, analysis, and intelligence sharing. Each agency must have an organized mechanism to receive and manage intelligence as well as a mechanism to report and share critical information with other law enforcement agencies. In addition, it is essential that law enforcement agencies develop lines of communication and information-sharing protocols with the private sector, particularly those related to the critical infrastructure, as well as with those private entities that are potential targets of terrorists and criminal enterprises. Not every agency has the staff or resources to create a formal intelligence unit, nor is it necessary in smaller agencies. This document will provide common language and processes to develop and employ an intelligence capacity in SLTLE agencies across the United States as well as articulate a uniform understanding of concepts, issues, and terminology for law enforcement intelligence (LEI). While terrorism issues are currently most pervasive in the current discussion of LEI, the principles of intelligence discussed in this document apply beyond terrorism and include organized crime and entrepreneurial crime of all forms. Drug trafficking and the associated crime of money laundering, for example, continue to be a significant challenge for law enforcement. Transnational computer crime, particularly Internet fraud, identity theft cartels, and global black marketeering of stolen and counterfeit goods, are entrepreneurial crime problems that are increasingly being relegated to SLTLE agencies to investigate simply because of the volume of criminal incidents. Similarly, local law enforcement is being increasingly drawn into human trafficking and illegal immigration enterprises and the often associated crimes related to counterfeiting of official documents, such as passports, visas, driver's licenses, Social Security cards, and credit cards. All require an intelligence capacity for SLTLE, as does the continuation of historical organized crime activities such as auto theft, cargo theft, and virtually any other scheme that can produce profit for an organized criminal entity. To be effective, the law enforcement community must interpret intelligence-related language in a consistent manner. In addition, common standards, policies, and practices will help expedite intelligence sharing while at the same time protecting the privacy of citizens and preserving hard-won community policing relationships.~
Author:
Publisher: FEMA
ISBN:
Category : Emergency management
Languages : en
Pages : 160
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Book Description
The FAAT List is not designed to be an authoritative source, merely a handy reference. Inclusion recognizes terminology existence, not legitimacy. Entries known to be obsolete are included bacause they may still appear in extant publications and correspondence.
Author: Ching-Chang Ko
Publisher: Springer Nature
ISBN: 3030718816
Category : Medical
Languages : en
Pages : 186
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Book Description
This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to “learn”, for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for all dental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work.
