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When the Doctor Calls: Opportunities in Ambulatory Care

Author: AHIMA

Source: AHIMA Advantage

Publication Date: August 2005


It wasn't too long ago that physicians could hire a file clerk to handle simple filing tasks and doctors themselves decided how patients could view their records. But today doctors' information needs are much more complex.
Just look at how many credentialed HIM professionals are bringing....

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....

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....

Unwrapping Data Standards

Author: Rollins, Gina

Source: Journal of AHIMA

Publication Date: January 2007


Data content standards affect a wide range of day-to-day HIM work. Here’s what you need to know.
They may sound like they belong up in the IT stratosphere, but data content standards-or the lack of them-affect a wide range of day-to-day HIM work right here on....

Unraveling the Data Set, an e-HIM Essential

Author: Giannangelo, Kathy

Source: Journal of AHIMA

Publication Date: February 2007


There is a great deal of talk about healthcare data and its potential uses once providers have implemented an EHR system. Without question, an EHR will collect more data in terms of volume. It will also, through standard clinical terminologies, capture a more granular level of detail. Th....

Tools for Defining Data

Author: Shakir, Abdul-Malik

Source: Journal of AHIMA

Publication Date: September 1999


Similarly, data dictionaries, data sets, and data models have much in common, but many significant differences. Each can be used to define data, especially data that needs to get from point A to point B. This article describes each of these tools and the value they add to health information ma....

Standards for the Content of the Electronic Health Record

Author: Watzlaf, Valerie J.M.; Zeng, Xiaoming; Jarymowycz, Christine; Firouzan, Patricia Anania

Source: Perspectives in Health Information Management

Publication Date: January 2004




This research study was funded in part by the AHIMA Foundation for Research and Education. The authors would also like to acknowledge the University of Pittsburgh HIM students that participated in this research project: LaTonya Thompson, Brandi Long, Manisha Ghate, Leanne Borelli, Jul....

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....

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....

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,....

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....

Problem List Guidance in the EHR

Author: AHIMA Work Group

Source: AHIMA practice brief | Journal of AHIMA

Publication Date: September 2011


Problem lists facilitate continuity of patient care by providing a comprehensive and accessible list of patient problems in one place. Problem lists used within health records are a list of illnesses, injuries, and other factors that affect the health of an individual patient, usually identifyi....

Problem List Coding in e-HIM

Author: Fraser, Greg

Source: Journal of AHIMA - Coding Notes

Publication Date: July 2005


In 1968 Larry Weed, MD, introduced the idea that a complete and accurate problem list is an essential component of the medical record.1 The problem-oriented medical record (POMR), in which all data contained in the medical record can be linked to a list of problems, has been almost universally....

Problem-Centered Care Delivery: How Interface Terminology Makes Standardized Health Information Possible

Author: Bronnert, June; Masarie, Chip; Naeymi-Rad, Frank; Rose, Eric; Aldin, Greg

Source: Journal of AHIMA

Publication Date: July 2012




Terminologies ensure that the 'languages of medicine' can be understood by both humans and machines.



Electronic health records (EHRs) are the industry standard for documenting patient care. Industry initiatives and government legislation have facilitated EHR i....

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....

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.

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