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Why Standards Should Matter to HIM Professionals

Author: Warner, Diana

Source: Journal of AHIMA

Publication Date: September 2014



Editor’s note: This article introduces Standards Strategies, a new Journal of AHIMA department that will provide guidance to HIM professionals on applying health data standards in areas including business, clinical care, and compliance.


AHIMA has always been committed t....

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....

Weaving Together a Healthcare Improvement Tapestry: Learning Health System Brings Together Health IT Data Stakeholders to Share Knowledge and Improve Health

Author: Rubin, Joshua C; Friedman, Charles P

Source: Journal of AHIMA

Publication Date: May 2014



As the “Vision” section of AHIMA’s website states, AHIMA aims to “lead the advancement and ethical use of quality health information to promote health and wellness worldwide.” In many ways, the Learning Health System’s (LHS) overarching vision represents....

Watson vs. Big Data

Author: AHIMA Staff

Source: Journal of AHIMA

Publication Date: July 2015


It is the matchup of the century—the towering hulk of healthcare’s Big Data versus the super computer known as Watson. Will Watson be able to take on this lumbering, untamed mass of information and whip it into submission?


One year ago, the Journal of AHIMA reported on the IBM su....

Validating MDS and OASIS Data with DAVE

Author: Dougherty, Michelle

Source: Journal of AHIMA

Publication Date: March 2004


In January 2004 the Center for Medicare and Medicaid Services (CMS) launched a new initiative to improve the accuracy and reliability of Minimum Data Set (MDS) data in long-term care. The Data Assessment and Verification program (DAVE) is a collaborative effort between multiple CMS program ar....

Utilizing Open-Source Government Data Sets in Health Information Management Teaching: An Application in Statistics and Data Analytics

Author: Alakrawi, Zahraa M; Watzlaf, Valerie J.M.; Aborde, Jon; Johnson, Carey; Johnson, Timothy

Source: Educational Perspectives in Health Informatics and Information Management

Publication Date: July 2016


Abstract


The American Health Information Management Association (AHIMA) Council for Excellence in Education acknowledges the importance of improving the data analytics skills of health information management (HIM) students at the baccalaureate level. This importance is especially....

Utah’s All Payer Claims Database

Author: Cofrin, Kelly

Source: AHIMA Convention

Publication Date: October 02, 2011

Introduction

As part of its decades-long effort to collect, analyze, and report on healthcare quality and cost, Utah has funded and created one of the country’s leading All Payer Claims databases. This data resource brings an unprecedented ability to examine costs for episodes of ca....

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....

Using Physician Profiling to Improve Documentation

Author: Hammen, Cheryl

Source: Journal of AHIMA

Publication Date: March 2001




In today’s competitive market, physician profiling has become a way to provide consumers with a "snapshot" of a physician. It is also used in determining physician participation in various managed care contracts through identification of variations in physician practice pa....

Using MedPAR Data as a Measure of Urinary Tract Infection Rates: Implications for the Medicare Inpatient DRG Payment System

Author: Stringham, Jerry; Young, Nancy

Source: Perspectives in Health Information Management

Publication Date: December 2005


Abstract


A valuable metric of hospital performance is the rate of nosocomial infections, particularly urinary tract infections (UTIs). Current measurement techniques are expensive to administer and are not widely available. Determining a measurement index of nosocomial UTI incide....

Use Data Mining Findings as a Tool to Support CDI Education

Author: Easterling, Sharon; Endicott, Melanie; Lojewski, Tedi; Maccariella-Hafey, Patricia C; Martin, Ginny

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

Publication Date: July 2014



Clinical validation involves the clinical review of a case to determine whether or not the patient truly possesses the conditions documented in the health record. Productivity and coding quality often suffer when the health record lacks accurate documentation to support the claim, and cur....

Updated Toolkit for Security Strategies

Author: Cooper, Ted

Source: Journal of AHIMA

Publication Date: July 2004


The first version of the Computer-based Patient Record Institute (CPRI) toolkit “Managing Information Security in Health Care” was published on the Web in May 1999 in response to the proposed HIPAA security and electronic signature standard of October 1998. The toolkit is intended....

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....

Unlocking the Benefits of ICD-10 through Data Analytics

Author: Ewing, Crystal

Source: Journal of AHIMA

Publication Date: June 2016



The reality of the ICD-10-CM/PCS implementation and the fact that it was, by all measures, a success, is the payoff of years of hard work. It’s the product of lessons learned from the implementation of 5010 and the outcome of diligence on the part of healthcare professionals, providers, a....

Universal Adapters: Terminology Standards Enable Meaningful Data Exchange

Author: Cook, Jane; Foley, Margaret M.; Giannangelo, Kathy; Paterno, Marilyn D.; Scichilone, Rita A; Schwarz, Kathleen M.

Source: Journal of AHIMA

Publication Date: January 2009


Standardized clinical terminologies are critical connectors that allow systems to exchange health information.

In the winter of 1904 a major fire broke out in Baltimore, MD. The resulting damage—an entire swath of the downtown destroyed—was blamed largely on a lack of uni....

Uniting Security Forces Against Risk

Author: Wagner, Lew

Source: Journal of AHIMA

Publication Date: June 2002


Threats to your facility’s physical and information security become more complex all the time. To create a truly effective security program, consider developing an integrated security program that encompasses both traditional and information technology protection. The result? A strong, st....

Understanding the HIE Landscape

Author: AHIMA

Source: AHIMA practice brief

Publication Date: September 2010


The health information exchange (HIE) landscape has changed dramatically over the past five years. More HIEs are available to organizations and providers than ever before. Industry initiatives leveraging technological advances and the call for all Americans to have an electronic health record b....

Tying Together CDI, ICD-10, and Healthcare Data Analytics: How CDI Programs and ICD-10 Are Impacting Data Analytics—and The Benefits Healthcare Organizations Are Seeing

Author: Bradley, Paul

Source: Journal of AHIMA

Publication Date: October 2016



A year in and ICD-10 is almost approaching the point of old news.


Of course—I’m kidding! Nothing could be further from the truth. From a data analytics perspective, the impact of ICD-10 is only beginning to be realized and understood.


For one, this first year....

Trends to Watch in Home Health Compliance

Author: Abraham, Prinny

Source: Journal of AHIMA

Publication Date: May 2001




The implementation of the Home Health Prospective Payment System (PPS) on October 1, 2001, has presented some unique compliance risks for HIM and billing managers. This article will briefly describe some of the compliance-related issues on the OIG's agenda that are of interest to HIM....

Translation Please: Mapping Translates Clinical Data between the Many Languages That Document It

Author: Foley, Margaret M.; Hall, Candace; Perron, Kathryn; D'Andrea, Rachael

Source: Journal of AHIMA

Publication Date: February 2007


Clinical mapping is essential because healthcare has no single medical terminology, making it difficult to understand and translate meanings across the different terminologies developed for different uses. Mapping allows the capture of data in the electronic health record (EHR) with the t....

Transcription and Data Capture in the EHR

Author: Dooling, Julie A

Source: Journal of AHIMA

Publication Date: June 2011


Transcription has always played an important role in HIM, but today it is taking on a new role in supporting the meaningful use program. Organizations are looking to leverage their transcription technology to capture structured data within their electronic health records (EHRs), a requirement....

Tracking HIE’s Ever Evolving Operational Models: Emerging health information exchange market still sorting out its business and governance models

Author: Callan, Kathy; Fuller, Jan C.; Galterio, Louis; Just, Beth Haenke; Reich, Kimberly A. Baldwin-Stried ; Steigerwald, Christine; Turner-Combs, Mary Lou; Wolf, Sheldon H; Dooling, Julie A; Kirby, Annessa; Rhodes, Harry B.

Source: Journal of AHIMA

Publication Date: October 2014



Editor’s note: This article is part one of a two-part series analyzing the current state of health information exchange organizations and their operational models.


Health information exchange (HIE) continues to be an embryonic domain—a swirling array of various pu....

Towards Data Interoperability: Practical Issues in Terminology Implementation and Mapping

Author: Lau, Lee Min

Source: AHIMA Convention | AHIMA Clinical Vocabulary Mapping Meeting

Publication Date: October 15, 2005

Conclusion

The lack of data interoperability is a key obstacle in the implementation and use of EHR to achieve its full benefits. Standard vocabularies provide the means for organizations to exchange, compare and aggregate data externally. The problems surrounding the use of standard voc....

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....

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