Anonymization Of Electronic Medical Records To Support Clinical Analysis

Anonymization Of Electronic Medical Records To Support Clinical Analysis Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Anonymization Of Electronic Medical Records To Support Clinical Analysis book. This book definitely worth reading, it is an incredibly well-written.

Anonymization of Electronic Medical Records to Support Clinical Analysis

Aris Gkoulalas-Divanis,Grigorios Loukides
Anonymization of Electronic Medical Records to Support Clinical Analysis Book PDF

Author : Aris Gkoulalas-Divanis,Grigorios Loukides
Publisher : Springer Science & Business Media
Page : 87 pages
File Size : 54,6 Mb
Release : 2012-10-13
Category : Medical
ISBN : 9781461456674

Get Book

Anonymization of Electronic Medical Records to Support Clinical Analysis by Aris Gkoulalas-Divanis,Grigorios Loukides Pdf

Anonymization of Electronic Medical Records to Support Clinical Analysis closely examines the privacy threats that may arise from medical data sharing, and surveys the state-of-the-art methods developed to safeguard data against these threats. To motivate the need for computational methods, the book first explores the main challenges facing the privacy-protection of medical data using the existing policies, practices and regulations. Then, it takes an in-depth look at the popular computational privacy-preserving methods that have been developed for demographic, clinical and genomic data sharing, and closely analyzes the privacy principles behind these methods, as well as the optimization and algorithmic strategies that they employ. Finally, through a series of in-depth case studies that highlight data from the US Census as well as the Vanderbilt University Medical Center, the book outlines a new, innovative class of privacy-preserving methods designed to ensure the integrity of transferred medical data for subsequent analysis, such as discovering or validating associations between clinical and genomic information. Anonymization of Electronic Medical Records to Support Clinical Analysis is intended for professionals as a reference guide for safeguarding the privacy and data integrity of sensitive medical records. Academics and other research scientists will also find the book invaluable.

Anonymizing Health Data

Khaled El Emam,Luk Arbuckle
Anonymizing Health Data Book PDF

Author : Khaled El Emam,Luk Arbuckle
Publisher : "O'Reilly Media, Inc."
Page : 227 pages
File Size : 43,6 Mb
Release : 2013-12-11
Category : Computers
ISBN : 9781449363055

Get Book

Anonymizing Health Data by Khaled El Emam,Luk Arbuckle Pdf

Updated as of August 2014, this practical book will demonstrate proven methods for anonymizing health data to help your organization share meaningful datasets, without exposing patient identity. Leading experts Khaled El Emam and Luk Arbuckle walk you through a risk-based methodology, using case studies from their efforts to de-identify hundreds of datasets. Clinical data is valuable for research and other types of analytics, but making it anonymous without compromising data quality is tricky. This book demonstrates techniques for handling different data types, based on the authors’ experiences with a maternal-child registry, inpatient discharge abstracts, health insurance claims, electronic medical record databases, and the World Trade Center disaster registry, among others. Understand different methods for working with cross-sectional and longitudinal datasets Assess the risk of adversaries who attempt to re-identify patients in anonymized datasets Reduce the size and complexity of massive datasets without losing key information or jeopardizing privacy Use methods to anonymize unstructured free-form text data Minimize the risks inherent in geospatial data, without omitting critical location-based health information Look at ways to anonymize coding information in health data Learn the challenge of anonymously linking related datasets

Medical Data Privacy Handbook

Aris Gkoulalas-Divanis,Grigorios Loukides
Medical Data Privacy Handbook Book PDF

Author : Aris Gkoulalas-Divanis,Grigorios Loukides
Publisher : Springer
Page : 832 pages
File Size : 44,9 Mb
Release : 2015-11-26
Category : Computers
ISBN : 9783319236339

Get Book

Medical Data Privacy Handbook by Aris Gkoulalas-Divanis,Grigorios Loukides Pdf

This handbook covers Electronic Medical Record (EMR) systems, which enable the storage, management, and sharing of massive amounts of demographic, diagnosis, medication, and genomic information. It presents privacy-preserving methods for medical data, ranging from laboratory test results to doctors’ comments. The reuse of EMR data can greatly benefit medical science and practice, but must be performed in a privacy-preserving way according to data sharing policies and regulations. Written by world-renowned leaders in this field, each chapter offers a survey of a research direction or a solution to problems in established and emerging research areas. The authors explore scenarios and techniques for facilitating the anonymization of different types of medical data, as well as various data mining tasks. Other chapters present methods for emerging data privacy applications and medical text de-identification, including detailed surveys of deployed systems. A part of the book is devoted to legislative and policy issues, reporting on the US and EU privacy legislation and the cost of privacy breaches in the healthcare domain. This reference is intended for professionals, researchers and advanced-level students interested in safeguarding medical data.

Electronic Medical Records

Jerome H. Carter,American College of Physicians--American Society of Internal Medicine
Electronic Medical Records Book PDF

Author : Jerome H. Carter,American College of Physicians--American Society of Internal Medicine
Publisher : ACP Press
Page : 478 pages
File Size : 47,6 Mb
Release : 2001
Category : Medical Records Systems, Computerized
ISBN : 1930513011

Get Book

Electronic Medical Records by Jerome H. Carter,American College of Physicians--American Society of Internal Medicine Pdf

Clinical Infomation Systems are increasingly important in Medical Practice. This work is a two-part book detailing the importance, selection and implementation of information systems in the health care setting. Volume One discusses the technical, organizational, clinical and administrative issues pertaining to EMR implementation. Highlighted topics include: infrastructure of the electronic patient records for administrators and clinicians, understanding processes and outcomes, and preparing for an EMR. The second workbook is filled with sample charts and questions, guiding the reader through the actual EMR implementation process.

Medical Big Data and Internet of Medical Things

Aboul Ella Hassanien,Nilanjan Dey,Surekha Borra
Medical Big Data and Internet of Medical Things Book PDF

Author : Aboul Ella Hassanien,Nilanjan Dey,Surekha Borra
Publisher : CRC Press
Page : 340 pages
File Size : 43,7 Mb
Release : 2018-10-25
Category : Computers
ISBN : 9781351030373

Get Book

Medical Big Data and Internet of Medical Things by Aboul Ella Hassanien,Nilanjan Dey,Surekha Borra Pdf

Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine, process, analyse, characterize, classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues, and research on integration of big data analytics with respect to clinical practice and clinical utility, architectures and clustering techniques for IoT data processing, effective frameworks for removal of misclassified instances, practicality of big data analytics, methodological and technical issues, potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data, IoT, soft computing, machine learning, augmented reality, organs on chip, personalized drugs, implantable electronics, integration of bio-interfaces, and wearable sensors, devices, practical body area network (BAN) and architectures of web systems. Key Features: Addresses various applications of Medical Big Data and Internet of Medical Things in real time environment Highlights recent innovations, designs, developments and topics of interest in machine learning techniques for classification of medical data Provides background and solutions to existing challenges in Medical Big Data and Internet of Medical Things Provides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical data Discusses interactions, advantages, limitations, challenges and future perspectives of IoT based remote healthcare monitoring systems. Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT) Presents case studies on the next generation medical chair, electronic nose and pill cam are also presented.

The Internet of Medical Things (IoMT)

R. J. Hemalatha,D. Akila,D. Balaganesh,Anand Paul
The Internet of Medical Things IoMT Book PDF

Author : R. J. Hemalatha,D. Akila,D. Balaganesh,Anand Paul
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 53,6 Mb
Release : 2022-02-11
Category : Computers
ISBN : 9781119769187

Get Book

The Internet of Medical Things (IoMT) by R. J. Hemalatha,D. Akila,D. Balaganesh,Anand Paul Pdf

INTERNET OF MEDICAL THINGS (IOMT) Providing an essential addition to the reference material available in the field of IoMT, this timely publication covers a range of applied research on healthcare, biomedical data mining, and the security and privacy of health records. With their ability to collect, analyze and transmit health data, IoMT tools are rapidly changing healthcare delivery. For patients and clinicians, these applications are playing a central part in tracking and preventing chronic illnesses — and they are poised to evolve the future of care. In this book, the authors explore the potential applications of a wave of sensor-based tools—including wearables and stand-alone devices for remote patient monitoring—and the marriage of internet-connected medical devices with patient information that ultimately sets the IoMT ecosystem apart. This book demonstrates the connectivity between medical devices and sensors is streamlining clinical workflow management and leading to an overall improvement in patient care, both inside care facilities and in remote locations.

Sharing Clinical Trial Data

Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Responsible Sharing of Clinical Trial Data
Sharing Clinical Trial Data Book PDF

Author : Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Responsible Sharing of Clinical Trial Data
Publisher : National Academies Press
Page : 304 pages
File Size : 53,5 Mb
Release : 2015-04-20
Category : Medical
ISBN : 9780309316323

Get Book

Sharing Clinical Trial Data by Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Responsible Sharing of Clinical Trial Data Pdf

Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research--from funders, to researchers, to journals, to physicians, and ultimately, to patients.

ICT Systems Security and Privacy Protection

Hannes Federrath,Dieter Gollmann
ICT Systems Security and Privacy Protection Book PDF

Author : Hannes Federrath,Dieter Gollmann
Publisher : Springer
Page : 646 pages
File Size : 45,8 Mb
Release : 2015-05-08
Category : Computers
ISBN : 9783319184678

Get Book

ICT Systems Security and Privacy Protection by Hannes Federrath,Dieter Gollmann Pdf

This book constitutes the refereed proceedings of the 30th IFIP TC 11 International Information Security and Privacy Conference, SEC 2015, held in Hamburg, Germany, in May 2015. The 42 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers are organized in topical sections on privacy, web security, access control, trust and identity management, network security, security management and human aspects of security, software security, applied cryptography, mobile and cloud services security, and cyber-physical systems and critical infrastructures security.

Named Entities for Computational Linguistics

Damien Nouvel,Maud Ehrmann,Sophie Rosset
Named Entities for Computational Linguistics Book PDF

Author : Damien Nouvel,Maud Ehrmann,Sophie Rosset
Publisher : John Wiley & Sons
Page : 186 pages
File Size : 49,9 Mb
Release : 2016-01-07
Category : Technology & Engineering
ISBN : 9781119268574

Get Book

Named Entities for Computational Linguistics by Damien Nouvel,Maud Ehrmann,Sophie Rosset Pdf

One of the challenges brought on by the digital revolution of the recent decades is the mechanism by which information carried by texts can be extracted in order to access its contents. The processing of named entities remains a very active area of research, which plays a central role in natural language processing technologies and their applications. Named entity recognition, a tool used in information extraction tasks, focuses on recognizing small pieces of information in order to extract information on a larger scale. The authors use written text and examples in French and English to present the necessary elements for the readers to familiarize themselves with the main concepts related to named entities and to discover the problems associated with them, as well as the methods available in practice for solving these issues.

Electronic Health Records and Medical Big Data

Sharona Hoffman
Electronic Health Records and Medical Big Data Book PDF

Author : Sharona Hoffman
Publisher : Cambridge University Press
Page : 227 pages
File Size : 40,9 Mb
Release : 2016-12-07
Category : Law
ISBN : 9781107166547

Get Book

Electronic Health Records and Medical Big Data by Sharona Hoffman Pdf

This book provides interdisciplinary analysis of electronic health record systems and medical big data, offering a wealth of technical, legal, and policy insights.

Electronic Health Records

Jerome H. Carter
Electronic Health Records Book PDF

Author : Jerome H. Carter
Publisher : ACP Press
Page : 556 pages
File Size : 50,5 Mb
Release : 2008
Category : Medical records
ISBN : UOM:39015076179970

Get Book

Electronic Health Records by Jerome H. Carter Pdf

Resource added for the Health Information Technology program 105301.

Clinical Problem Lists in the Electronic Health Record

Adam Wright
Clinical Problem Lists in the Electronic Health Record Book PDF

Author : Adam Wright
Publisher : CRC Press
Page : 350 pages
File Size : 42,6 Mb
Release : 2014-11-24
Category : Business & Economics
ISBN : 9781771880916

Get Book

Clinical Problem Lists in the Electronic Health Record by Adam Wright Pdf

Edited by a professor at Harvard Medical School who has extensive experience in this field, this important and timely book presents a variety of perspectives on the organization of patient medical records around patient problems, presenting a more effective problem-oriented approach rather than the traditional data-oriented approach. It is comprehensive, covering the history and importance of the electronic health record, the attitudes toward and use of problem lists, strategies to improve the problem list, and applications in practice of the problem list.

Secondary Analysis of Electronic Health Records

MIT Critical Data
Secondary Analysis of Electronic Health Records Book PDF

Author : MIT Critical Data
Publisher : Springer
Page : 609 pages
File Size : 41,7 Mb
Release : 2016-10-02
Category : Medical
ISBN : 3319437402

Get Book

Secondary Analysis of Electronic Health Records by MIT Critical Data Pdf

This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.

Secondary Analysis of Electronic Health Records

MIT Critical Data
Secondary Analysis of Electronic Health Records Book PDF

Author : MIT Critical Data
Publisher : Springer
Page : 0 pages
File Size : 47,9 Mb
Release : 2018-07-06
Category : Medical
ISBN : 3319828991

Get Book

Secondary Analysis of Electronic Health Records by MIT Critical Data Pdf

This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.

Medical Data Privacy Handbook

Aris Gkoulalas-Divanis,Grigorios Loukides
Medical Data Privacy Handbook Book PDF

Author : Aris Gkoulalas-Divanis,Grigorios Loukides
Publisher : Unknown
Page : 128 pages
File Size : 42,7 Mb
Release : 2015
Category : Electronic
ISBN : 3319236342

Get Book

Medical Data Privacy Handbook by Aris Gkoulalas-Divanis,Grigorios Loukides Pdf

This handbook covers Electronic Medical Record (EMR) systems, which enable the storage, management, and sharing of massive amounts of demographic, diagnosis, medication, and genomic information. It presents privacy-preserving methods for medical data, ranging from laboratory test results to doctors' comments. The reuse of EMR data can greatly benefit medical science and practice, but must be performed in a privacy-preserving way according to data sharing policies and regulations. Written by world-renowned leaders in this field, each chapter offers a survey of a research direction or a solution to problems in established and emerging research areas. The authors explore scenarios and techniques for facilitating the anonymization of different types of medical data, as well as various data mining tasks. Other chapters present methods for emerging data privacy applications and medical text de-identification, including detailed surveys of deployed systems. A part of the book is devoted to legislative and policy issues, reporting on the US and EU privacy legislation and the cost of privacy breaches in the healthcare domain. This reference is intended for professionals, researchers and advanced-level students interested in safeguarding medical data.