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| data governance in health information management: OECD Health Policy Studies Health Data Governance Privacy, Monitoring and Research OECD, 2015-10-05 This report identifies eight key data governance mechanisms to maximise benefits to patients and to societies from the collection, linkage and analysis of health data, and to minimise risks to both patient privacy and the security of health data. |
| data governance in health information management: Health Information Governance in a Digital Environment E.J.S. Hovenga, H. Grain, 2013-09-12 Delivering the desired benefits from using information technology in healthcare requires a high degree of data standardization, effective governance and semantic interoperability between systems in the health industry. Corporate chief executive officers (CEOs) and company boards need to be more aware of their governance responsibility. This publication explains these concepts to assist the reader to collaboratively work with others to meet these challenges. With contributions from internationally distinguished authors, this book is a valuable cutting edge resource for anyone working in or for the health industry today and especially for: • Policy and decision makers, • Healthcare professionals, • Health information managers, • Health informaticians and • ICT professionals about: • Data governance. • Semantic interoperability • IT in health care • Information security governance The book is suitable for use as a basic text or reference supporting professional, undergraduate and postgraduate curricula preparing students for practice as health or IT professionals working in today's healthcare system. |
| data governance in health information management: Enterprise Health Information Management and Data Governance Merida L. Johns, 2015 |
| data governance in health information management: Data Governance Neera Bhansali, 2013-06-17 As organizations deploy business intelligence and analytic systems to harness business value from their data assets, data governance programs are quickly gaining prominence. And, although data management issues have traditionally been addressed by IT departments, organizational issues critical to successful data management require the implementation of enterprise-wide accountabilities and responsibilities. Data Governance: Creating Value from Information Assets examines the processes of using data governance to manage data effectively. Addressing the complete life cycle of effective data governance—from metadata management to privacy and compliance—it provides business managers, IT professionals, and students with an integrated approach to designing, developing, and sustaining an effective data governance strategy. Explains how to align data governance with business goals Describes how to build successful data stewardship with a governance framework Outlines strategies for integrating IT and data governance frameworks Supplies business-driven and technical perspectives on data quality management, metadata management, data access and security, and data lifecycle The book summarizes the experiences of global experts in the field and addresses critical areas of interest to the information systems and management community. Case studies from healthcare and financial sectors, two industries that have successfully leveraged the potential of data-driven strategies, provide further insights into real-time practice. Facilitating a comprehensive understanding of data governance, the book addresses the burning issue of aligning data assets to both IT assets and organizational strategic goals. With a focus on the organizational, operational, and strategic aspects of data governance, the text provides you with the understanding required to leverage, derive, and sustain maximum value from the informational assets housed in your IT infrastructure. |
| data governance in health information management: Registries for Evaluating Patient Outcomes Agency for Healthcare Research and Quality/AHRQ, 2014-04-01 This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. |
| data governance in health information management: Implementing Health Information Governance Linda Kloss, 2015 |
| data governance in health information management: The Canadian Health Information Management Lifecycle CHIMA, 2017-05-09 This HIM lifecycle resource will be useful to a wide range of jurisdictions that manage health information. The document will provide a summary of the recommended leading practices and principles related to managing health information throughout its lifecycle, regardless of the type of jurisdiction or information media. -- Publisher's website. |
| data governance in health information management: Data Governance: The Definitive Guide Evren Eryurek, Uri Gilad, Valliappa Lakshmanan, Anita Kibunguchy-Grant, Jessi Ashdown, 2021-03-08 As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness. |
| data governance in health information management: Data Governance Simplified Holly Starling, 2015-02-17 What is Information Governance?Information governance is using the business strategy to apply objectivity, economies, and efficiencies of scale to the processes necessary for the management of information in the achievement of business success. The point of Information or Data Governance is to create TRUSTED data for the business. But how is that actually done?This book is for the individual who is looking for a starting place for establishing a path to better information for their business through a data governance program. The book focuses on describing deliverables and techniques necessary to quantify and measure the Trust of information, including creating dashboards to monitor the success of the Information Management and Governance (IMG) Program as well as an overall Trust Dashboard for the enterprise. If you are trying to answer any of the following questions, then this book can help you out:How do we decrease the number of data silos?How much management and governance is needed for the data?Who owns the data?How do we get the business to trust the data?What measurements can I use to prove the data is good?What do I show executives to illustrate the progress of a data governance program?How can trust of business data be quantified?How is the relevance of data to the business determined?What is the appropriate level of management and governance necessary for the data?This book will help you answer these questions and start improving (and measuring the improvement) of data for your business. The book includes chapters that give a high level overview of data governance but focuses most of the attention on the deliverables and methods necessary to quantify and measure the Trust of data, thereby establishing clear measurements for success. |
| data governance in health information management: Data Governance John Ladley, 2019-11-08 Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program. - Incorporates industry changes, lessons learned and new approaches - Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations - Includes new case studies which detail real-world situations - Explores all of the capabilities an organization must adopt to become data driven - Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional - Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities - Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy - Provides up to 75% brand-new content compared to the first edition |
| data governance in health information management: The Data Governance Imperative Steve Sarsfield, 2009-04-23 This practical book covers both strategies and tactics around managing a data governance initiative to help make the most of your data. |
| data governance in health information management: Information Governance Robert F. Smallwood, 2014-03-28 Proven and emerging strategies for addressing document and records management risk within the framework of information governance principles and best practices Information Governance (IG) is a rapidly emerging super discipline and is now being applied to electronic document and records management, email, social media, cloud computing, mobile computing, and, in fact, the management and output of information organization-wide. IG leverages information technologies to enforce policies, procedures and controls to manage information risk in compliance with legal and litigation demands, external regulatory requirements, and internal governance objectives. Information Governance: Concepts, Strategies, and Best Practices reveals how, and why, to utilize IG and leverage information technologies to control, monitor, and enforce information access and security policies. Written by one of the most recognized and published experts on information governance, including specialization in e-document security and electronic records management Provides big picture guidance on the imperative for information governance and best practice guidance on electronic document and records management Crucial advice and insights for compliance and risk managers, operations managers, corporate counsel, corporate records managers, legal administrators, information technology managers, archivists, knowledge managers, and information governance professionals IG sets the policies that control and manage the use of organizational information, including social media, mobile computing, cloud computing, email, instant messaging, and the use of e-documents and records. This extends to e-discovery planning and preparation. Information Governance: Concepts, Strategies, and Best Practices provides step-by-step guidance for developing information governance strategies and practices to manage risk in the use of electronic business documents and records. |
| data governance in health information management: Information Governance and Security John G. Iannarelli, Michael O’Shaughnessy, 2014-09-09 Information Governance and Security shows managers in any size organization how to create and implement the policies, procedures and training necessary to keep their organization’s most important asset—its proprietary information—safe from cyber and physical compromise. Many intrusions can be prevented if appropriate precautions are taken, and this book establishes the enterprise-level systems and disciplines necessary for managing all the information generated by an organization. In addition, the book encompasses the human element by considering proprietary information lost, damaged, or destroyed through negligence. By implementing the policies and procedures outlined in Information Governance and Security, organizations can proactively protect their reputation against the threats that most managers have never even thought of. Provides a step-by-step outline for developing an information governance policy that is appropriate for your organization Includes real-world examples and cases to help illustrate key concepts and issues Highlights standard information governance issues while addressing the circumstances unique to small, medium, and large companies |
| data governance in health information management: Non-Invasive Data Governance Robert S. Seiner, 2014-09-01 Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: • Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. • Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. • Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. • A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. • Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve. |
| data governance in health information management: Health Information Management Margaret A. Skurka, 2017-04-10 The Updated and Extensively Revised Guide to Developing Efficient Health Information Management Systems Health Information Management is the most comprehensive introduction to the study and development of health information management (HIM). Students in all areas of health care gain an unmatched understanding of the entire HIM profession and how it currently relates to the complex and continuously evolving field of health care in the United States. This brand-new Sixth Edition represents the most thorough revision to date of this cornerstone resource. Inside, a group of hand-picked HIM educators and practitioners representing the vanguard of the field provide fundamental guidelines on content and structure, analysis, assessment, and enhanced information. Fully modernized to reflect recent changes in the theory and practice of HIM, this latest edition features all-new illustrative examples and in-depth case studies, along with: Fresh and contemporary examinations of both electronic and print health records, data management, data privacy and security, health informatics and analytics, and coding and classification systems An engaging and user-friendly pedagogy, complete with learning objectives, key terms, case studies, and problems with workable solutions in every chapter Ready-to-use PowerPoint slides for lectures, full lesson plans, and a test bank for turnkey assessments A must-have resource for everyone in health care, Health Information Management, Sixth Edition, puts everything you need at your fingertips. |
| data governance in health information management: Data Stewardship David Plotkin, 2013-09-16 Data stewards in business and IT are the backbone of a successful data governance implementation because they do the work to make a company's data trusted, dependable, and high quality. Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the steward's time and effort. David Plotkin has loaded this book with practical advice on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort. - Provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on company structure, business functions, and data ownership - Shows how to gain support for your stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort and report back to management - Includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards |
| data governance in health information management: Health Care Information Systems Karen A. Wager, Frances W. Lee, John P. Glaser, 2017-02-08 BESTSELLING GUIDE, UPDATED WITH A NEW INFORMATION FOR TODAY'S HEALTH CARE ENVIRONMENT Health Care Information Systems is the newest version of the acclaimed text that offers the fundamental knowledge and tools needed to manage information and information resources effectively within a wide variety of health care organizations. It reviews the major environmental forces that shape the national health information landscape and offers guidance on the implementation, evaluation, and management of health care information systems. It also reviews relevant laws, regulations, and standards and explores the most pressing issues pertinent to senior level managers. It covers: Proven strategies for successfully acquiring and implementing health information systems. Efficient methods for assessing the value of a system. Changes in payment reform initiatives. New information on the role of information systems in managing in population health. A wealth of updated case studies of organizations experiencing management-related system challenges. |
| data governance in health information management: Big Data Management Peter Ghavami, 2020-11-09 Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations. |
| data governance in health information management: Data Governance Evren Eryurek, Uri Gilad, Jessi Ashdown, Valliappa Lakshmanan, Anita Kibunguchy, 2021-04-13 As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness |
| data governance in health information management: Data Governance and Data Management Rupa Mahanti, 2021-09-08 This book delves into the concept of data as a critical enterprise asset needed for informed decision making, compliance, regulatory reporting and insights into trends, behaviors, performance and patterns. With good data being key to staying ahead in a competitive market, enterprises capture and store exponential volumes of data. Considering the business impact of data, there needs to be adequate management around it to derive the best value. Data governance is one of the core data management related functions. However, it is often overlooked, misunderstood or confused with other terminologies and data management functions. Given the pervasiveness of data and the importance of data, this book provides comprehensive understanding of the business drivers for data governance and benefits of data governance, the interactions of data governance function with other data management functions and various components and aspects of data governance that can be facilitated by technology and tools, the distinction between data management tools and data governance tools, the readiness checks to perform before exploring the market to purchase a data governance tool, the different aspects that must be considered when comparing and selecting the appropriate data governance technologies and tools from large number of options available in the marketplace and the different market players that provide tools for supporting data governance. This book combines the data and data governance knowledge that the author has gained over years of working in different industrial and research programs and projects associated with data, processes and technologies with unique perspectives gained through interviews with thought leaders and data experts. This book is highly beneficial for IT students, academicians, information management and business professionals and researchers to enhance their knowledge and get guidance on implementing data governance in their own data initiatives. |
| data governance in health information management: Handbook of Global Health Ilona Kickbusch, Detlev Ganten, Matshidiso Moeti, 2021-05-11 Global health is a rapidly emerging discipline with a transformative potential for public policy and international development. Emphasizing transnational health issues, global health aims to improve health and achieve health equity for all people worldwide. Its multidisciplinary scope includes contributions from many disciplines within and beyond the health sciences, including clinical medicine, public health, social and behavioral sciences, environmental sciences, economics, public policy, law and ethics. This large reference offers up-to-date information and expertise across all aspects of global health and helps readers to achieve a truly multidisciplinary understanding of the topics, trends as well as the clinical, socioeconomic and environmental drivers impacting global health. As a fully comprehensive, state-of-the-art and continuously updated, living reference, the Handbook of Global Health is an important, dynamic resource to provide context for global health clinical care, organizational decision-making, and overall public policy on many levels. Health workers, physicians, economists, environmental and social scientists, trainees and medical students as well as professionals and practitioners will find this handbook of great value. |
| data governance in health information management: Foundations of Health Information Management - E-Book Nadinia A. Davis, 2023-05-15 **Selected for Doody's Core Titles® 2024 with Essential Purchase designation in Health Information Management** Foundations of Health Information Management, 6th Edition is an absolute must for anyone beginning a career in HIM. By focusing on healthcare delivery systems, electronic health records, and the processing, maintenance, and analysis of health information, this engaging, easy-to-understand text presents a realistic and practical view of technology and trends in healthcare. It readies you for the role of a Registered Health Information Technician, who not only maintains and secures accurate health documentation, but serves as a healthcare analyst who translates data into useful, quality information that can control costs and further research. This edition is organized by CAHIIM competencies to prepare you for the RHIT® credentialing exam, as well as EHR samples, critical-thinking exercises, and expanded coverage of key issues in HIM today. - Clear writing style and easy reading level make reading and studying more time efficient. - Organized for CAHIIM competencies to assure that you are prepared to sit for the exam. - Competency Check-in Exercises at the end of every main section in each chapter encourage you to review and apply key concepts. - Competency Milestone feature at the end of each chapter hosts ample assessments to ensure your comprehension of the CAHIIM competencies. - Ethics Challenge links topics to professional ethics with real-world scenarios and critical-thinking questions. - Critical-thinking questions challenge you to apply learning to professional situations. - Mock RHIT® exam provides you with the opportunity to practice taking a timed, objective-based exam. - Specialized chapters, including legal, statistics, coding, and performance improvement and project management, support in-depth learning. - Professional Profile highlights key HIM professionals represented in chapter discussions. - Patient Care Perspective illustrates the impact of HIM professionals on patients and patient care. - Career Tip boxes instruct you on a course of study and work experience required for the position. - Chapter summaries and reviews allow for easy review of each chapter's main concepts. - SimChart® and SimChart® for the Medical Office EHR samples demonstrate electronic medical records in use. |
| data governance in health information management: A Practical Approach to Analyzing Healthcare Data 4e White, 2021-03-31 |
| data governance in health information management: Digital Infrastructure for the Learning Health System Institute of Medicine, Roundtable on Value and Science-Driven Health Care, 2011-10-21 Like many other industries, health care is increasingly turning to digital information and the use of electronic resources. The Institute of Medicine's Roundtable on Value & Science-Driven Health Care hosted three workshops to explore current efforts and opportunities to accelerate progress in improving health and health care with information technology systems. |
| data governance in health information management: Health Data Governance for the Digital Age Implementing the OECD Recommendation on Health Data Governance OECD, 2022-05-11 Health data are essential to modern health care delivery, health system management and research and innovation, and must be well governed to foster their use while protecting privacy and data security. The 2016 OECD Recommendation on Health Data Governance provides a roadmap towards more harmonised approaches to health data governance across countries. |
| data governance in health information management: Understanding Cybersecurity Management in Healthcare Dilli Prasad Sharma, |
| data governance in health information management: Beyond the HIPAA Privacy Rule Institute of Medicine, Board on Health Care Services, Board on Health Sciences Policy, Committee on Health Research and the Privacy of Health Information: The HIPAA Privacy Rule, 2009-03-24 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. |
| data governance in health information management: Patient Safety Institute of Medicine, Board on Health Care Services, Committee on Data Standards for Patient Safety, 2003-12-20 Americans should be able to count on receiving health care that is safe. To achieve this, a new health care delivery system is needed †a system that both prevents errors from occurring, and learns from them when they do occur. The development of such a system requires a commitment by all stakeholders to a culture of safety and to the development of improved information systems for the delivery of health care. This national health information infrastructure is needed to provide immediate access to complete patient information and decision-support tools for clinicians and their patients. In addition, this infrastructure must capture patient safety information as a by-product of care and use this information to design even safer delivery systems. Health data standards are both a critical and time-sensitive building block of the national health information infrastructure. Building on the Institute of Medicine reports To Err Is Human and Crossing the Quality Chasm, Patient Safety puts forward a road map for the development and adoption of key health care data standards to support both information exchange and the reporting and analysis of patient safety data. |
| data governance in health information management: Information Governance for Healthcare Professionals Robert F. Smallwood, 2018-09-21 Like other critical organizational assets, information is a strategic asset that requires high level of oversight in order to be able to effectively use it for organizational decision-making, performance improvement, cost management, and risk mitigation. Adopting an information governance program shows a healthcare organization’s commitment to managing its information as a valued strategic asset. Information governance serves the dual purpose of optimizing the ability to extract clinical and business value from healthcare information while meeting compliance needs and mitigating risk. Healthcare organizations that have information governance programs will have a competitive edge over others and contributes to safety and quality of care, population health, operational efficiency and effectiveness, and cost reduction initiatives. This is a much-needed book in the healthcare market space. It will explain, in clear terms, how to develop, launch, and oversee an Information Governance program. It also provides advice and insights from leading IG, cybersecurity and information privacy professionals in healthcare. |
| data governance in health information management: MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E Alex Berson, Larry Dubov, 2010-12-06 The latest techniques for building a customer-focused enterprise environment The authors have appreciated that MDM is a complex multidimensional area, and have set out to cover each of these dimensions in sufficient detail to provide adequate practical guidance to anyone implementing MDM. While this necessarily makes the book rather long, it means that the authors achieve a comprehensive treatment of MDM that is lacking in previous works. -- Malcolm Chisholm, Ph.D., President, AskGet.com Consulting, Inc. Regain control of your master data and maintain a master-entity-centric enterprise data framework using the detailed information in this authoritative guide. Master Data Management and Data Governance, Second Edition provides up-to-date coverage of the most current architecture and technology views and system development and management methods. Discover how to construct an MDM business case and roadmap, build accurate models, deploy data hubs, and implement layered security policies. Legacy system integration, cross-industry challenges, and regulatory compliance are also covered in this comprehensive volume. Plan and implement enterprise-scale MDM and Data Governance solutions Develop master data model Identify, match, and link master records for various domains through entity resolution Improve efficiency and maximize integration using SOA and Web services Ensure compliance with local, state, federal, and international regulations Handle security using authentication, authorization, roles, entitlements, and encryption Defend against identity theft, data compromise, spyware attack, and worm infection Synchronize components and test data quality and system performance |
| data governance in health information management: Health Care Information Systems Karen A. Wager, Frances W. Lee, John P. Glaser, 2022-01-12 The most up-to-date edition of the gold standard in health care information system references In the newly revised Fifth Edition of Health Care Information Systems, veteran healthcare information management experts and educators Karen A. Wager and Frances Wickham Lee, along with nationally-recognized leader in health information technology, John P. Glaser, deliver a one-stop resource for graduate and upper-level undergraduate students to gain the knowledge and develop the skills they need to manage information and information systems technology in the new healthcare environment. The latest edition sees its focus shift from the adoption of health care information systems and electronic health records to making effective use of health care data, information, and systems and optimizing their impact. New additions to this celebrated text include: Explorations of how health care information systems and information technology can be used to support national quality initiatives, value-based payment, population health management, and precision health and quality reporting Discussions of how issues like interoperability, electronic health record usability, and health IT safety are being (or not being) addressed Treatments of the roles played by data governance and analytics in clinical decision making and healthcare operations. Filled with case studies, supplemental resources, and engaging examinations of critical areas in health care information system use, management, implementation, and support, Health Care Information Systems is an ideal reference for students taking courses in business administration, public health, health administration, medicine, health informatics and health care management. |
| data governance in health information management: HEALTH INFORMATION MANAGEMENT , 2017 |
| data governance in health information management: Big Data Governance Peter Ghavami, Ph.d., 2015-11-26 Data is the new Gold and Analytics is the machinery to mine, mold and mint it. Data analytics has become core to business and decision making. The rapid increase in data volume, velocity and variety, known as big data, offers both opportunities and challenges. While open source solutions to store big data, like Hadoop and NoSQL offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Organizations that are launching big data initiatives face significant challenges for managing this data effectively. In this book, the author has collected best practices from the world's leading organizations who have successfully implemented big data platforms. He offers the latest techniques and methods for managing big data effectively. The book offers numerous policies, strategies and recipes for managing big data. It addresses many issues that are prevalent with data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. Topics that cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and information technology leaders who are implementing big data platforms in their organizations. |
| data governance in health information management: Super Charge Your Data Warehouse Dan Linstedt, 2011-11-11 Do You Know If Your Data Warehouse Flexible, Scalable, Secure and Will It Stand The Test Of Time And Avoid Being Part Of The Dreaded Life Cycle? The Data Vault took the Data Warehouse world by storm when it was released in 2001. Some of the world's largest and most complex data warehouse situations understood the value it gave especially with the capabilities of unlimited scaling, flexibility and security. Here is what industry leaders say about the Data Vault The Data Vault is the optimal choice for modeling the EDW in the DW 2.0 framework - Bill Inmon, The Father of Data Warehousing The Data Vault is foundationally strong and an exceptionally scalable architecture - Stephen Brobst, CTO, Teradata The Data Vault should be considered as a potential standard for RDBMS-based analytic data management by organizations looking to achieve a high degree of flexibility, performance and openness - Doug Laney, Deloitte Analytics Institute I applaud Dan's contribution to the body of Business Intelligence and Data Warehousing knowledge and recommend this book be read by both data professionals and end users - Howard Dresner, From the Foreword - Speaker, Author, Leading Research Analyst and Advisor You have in your hands the work, experience and testing of 2 decades of building data warehouses. The Data Vault model and methodology has proven itself in hundreds (perhaps thousands) of solutions in Insurance, Crime-Fighting, Defense, Retail, Finance, Banking, Power, Energy, Education, High-Tech and many more. Learn the techniques and implement them and learn how to build your Data Warehouse faster than you have ever done before while designing it to grow and scale no matter what you throw at it. Ready to Super Charge Your Data Warehouse? |
| data governance in health information management: The Case for the Chief Data Officer Peter Aiken, Michael M. Gorman, 2013-04-22 Data are an organization's sole, non-depletable, non-degrading, durable asset. Engineered right, data's value increases over time because the added dimensions of time, geography, and precision. To achieve data's full organizational value, there must be dedicated individual to leverage data as assets - a Chief Data Officer or CDO who's three job pillars are: - Dedication solely to leveraging data assets, - Unconstrained by an IT project mindset, and - Reports directly to the business Once these three pillars are set into place, organizations can leverage their data assets. Data possesses properties worthy of additional investment. Many existing CDOs are fatally crippled, however, because they lack one or more of these three pillars. Often organizations have some or all pillars already in place but are not operating in a coordinated manner. The overall objective of this book is to present these pillars in an understandable way, why each is necessary (but insufficient), and what do to about it. - Uncovers that almost all organizations need sophisticated, comprehensive data management education and strategies. - Delivery of organization-wide data success requires a highly focused, full time Chief Data Officer. - Engineers organization-wide data advantage which enables success in the marketplace |
| data governance in health information management: DAMA-DMBOK Dama International, 2017 Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment. |
| data governance in health information management: Health Information Manager - The Comprehensive Guide ANTILLIA TAURED, |
| data governance in health information management: Data Governance Dimitrios Sargiotis, |
| data governance in health information management: The Ethical Governance of Artificial Intelligence and Machine Learning in Healthcare Tina Nguyen, 2023-11-25 This book explores the ethical governance of Artificial Intelligence (AI) & Machine Learning (ML) in healthcare. AI/ML usage in healthcare as well as our daily lives is not new. However, the direct, and oftentimes long-term effects of current technologies, in addition to the onset of future innovations, have caused much debate about the safety of AI/ML. On the one hand, AI/ML has the potential to provide effective and efficient care to patients, and this sways the argument in favor of continuing to use AI/ML; but on the other hand, the dangers (including unforeseen future consequences of the further development of the technology) leads to vehement disagreement with further AI/ML usage. Due to its potential for beneficial outcomes, the book opts to push for ethical AI/ML to be developed and examines various areas in healthcare, such as big data analytics and clinical decision-making, to uncover and discuss the importance of developing ethical governance for AI/ML in this setting. |
| data governance in health information management: WHO guidelines on physical activity and sedentary behaviour , 2020-11-20 |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with minimum time …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, released in …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process from …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical barriers …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be collected, …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
