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Managing a Data Dictionary (2016 update) - Retired

Author: Davoudi, Sion; Flanigan, Jill; Houser, Shannon H.; Kadlec, Lesley; Kirby, Annessa; VanSlyke, Daniel; Wendicke, Annemarie

Source: AHIMA practice brief

Publication Date: December 2016


This update supplants the 2012 practice brief “Managing a Data Dictionary.”


As healthcare organizations move to the electronic environment, the large volume and complexity of data collected is growing at unprecedented rates. While access to data has the potential to en....

Standardizing Interoperability is a Team Effort

Author: Eramo, Lisa A

Source: Journal of AHIMA

Publication Date: November 2016



AHIMA and other key stakeholders continue to drive national and global progress to achieve information systems interoperability in healthcare.


Like a complex puzzle, health information data and system interoperability takes time, effort, and collaboration to solve. And solvin....

Solving the Health IT Interoperability Quagmire

Author: Butler, Mary

Source: Journal of AHIMA

Publication Date: August 2016



As the sun begins to set on the Obama administration, Vice President Joe Biden has been leveraging the weight of his office to speak out on the health IT interoperability quagmire in which the nation currently finds itself. During a speech at the industry’s Health Datapalooza in May,....

Clinical Terminology and Clinical Classification Systems: A Critique Using AHIMA’s Data Quality Management Model

Author: Alakrawi, Zahraa M

Source: Perspectives in Health Information Management

Publication Date: July 2016


Abstract


Clinical coding constitutes one of the fundamental functions in the field of health information management. Clinical classification systems and clinical terminologies represent two distinct sets of coding schemes that are used in healthcare. In this context, it is critica....

Semantic Content in EHR Systems

Author: Bhattacharyya, S. B; Warner, Diana

Source: Journal of AHIMA

Publication Date: June 2016



An electronic health record (EHR) can greatly help the timely delivery of efficient healthcare if the information it contains is adequate, accurate, and accessible in a timely manner. An EHR is a longitudinal record of an individual’s health journey made up of electronic documents from va....

Role of Standards in IG

Author: Warner, Diana

Source: AHIMA blog post | Journal of AHIMA - website

Publication Date: May 13, 2016




The use of health information technology (HIT) in the clinical setting brings both opportunities and challenges for health information management (HIM) professionals regarding data capture and exchange; data storage, use and reuse; record ownership and access; e-discovery and e-forens....

Managing PHI Content Standards

Author: Sawatsky, Elaine; Warner, Diana

Source: Journal of AHIMA

Publication Date: April 2016



Interoperability standards and their continuing adoption by e-health programs expand the capacity of information systems to capture, use, and exchange clinical data. For exchange to occur, the majority of data processing decisions need to take place both computationally and automatically.....

Standardization of Standards

Author: Orlova, Anna

Source: Journal of AHIMA

Publication Date: May 2015



In 1898 Yale University graduate Charles Dudley, PhD, looked for a solution to the seemingly intractable problem of building a consensus on standards for industrial materials used on the Pennsylvania Railroad. To sooth the antagonistic attitudes that marred relationships between the Penns....

Overview of Health IT Standards

Author: Orlova, Anna

Source: Journal of AHIMA

Publication Date: March 2015



Health IT Standardization is the process of agreeing on standards that allow electronic exchange of data, information, and knowledge between disparate data systems. The goals of standardization are to achieve comparability, compatibility, and interoperability between independent systems; t....

What’s the Difference? SNOMED CT and ICD Systems are Suited for Different Purposes

Author: Stearns, Mike; Fuller, Jan C.

Source: Journal of AHIMA - Coding Notes | Journal of AHIMA

Publication Date: November 2014



The International Classification of Diseases (ICD) and SNOMED CT are similar in that both systems have alphanumeric codes associated with clinical concepts. But the systems differ in their purpose and structure, and are best used in different ways in healthcare. For starters, ICD is a cla....

Accessing and Using Data from Wearable Fitness Devices

Author: Rhodes, Harry B.

Source: Journal of AHIMA

Publication Date: September 2014



A rapidly aging global population in many industrialized countries accompanied by an increase in chronic diseases and the high cost of managing such diseases has led many to turn to a technological solution to ease the burden on healthcare professionals and provide useful tools to the elde....

Using the C-CDA Standard to Meet Meaningful Use

Author: Campbell, Robert James

Source: Journal of AHIMA

Publication Date: July 2014



The Centers for Disease Control and Prevention reported that in 2010, 35 million patients were discharged from non-federal short-stay hospitals in America.1 Vitally important not only to those discharges—but to every discharge that takes place—is whether important information about the pa....

Health IT Standards Committee Takes On Patient-Generated Health Data

Author: AHIMA Advocacy and Policy Team

Source: Journal of AHIMA

Publication Date: March 2014

Efforts from the Office of the National Coordinator for Health IT (ONC) in the area of patient-generated health data began in 2011. With mobile health on the rise and the “meaningful use” EHR Incentive Program progressing throughout the US healthcare system, these efforts continue to grow in importance to the future of healthcare and health information.

Optimizing Data Representation Through the Use of SNOMED CT

Author: Bronnert, June; Daube, Julie L; Jopp, Gretchen; Peterson, Kathleen; Rihanek, Theresa; Scichilone, Rita A; Tucker, Vanna

Source: Journal of AHIMA

Publication Date: March 2014

Electronic health records (EHR) have changed the landscape for data representation. For many years health information management (HIM) professionals have relied on classifications for data representation and the support of clinical documentation. SNOMED CT is a data standard frequently used in electronic systems and has been included in the requirements for the Centers for Medicare and Medicaid Services’ (CMS) “meaningful use” EHR Incentive Program. SNOMED CT is maintained and distributed by the International Health Terminology Standards Development Organisation (IHTSDO). SNOMED CT is recognized throughout the world, and the terminology is available at no cost. The National Library of Medicine (NLM) serves as the US release center and the IHTSDO member country representative.

Connect the Dots: Linking Together the Nation’s Disparate and Growing Health Information Exchanges has become a Formidable Challenge

Author: Romeo, Jim

Source: Journal of AHIMA

Publication Date: March 2013



Establishing a health information exchange (HIE) and building an infrastructure to support it internally and externally is a daunting task. Whether funded by federal and state grants or launched as a private sector initiative, launching a HIE often means blazing new territory and making de....

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