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Why an Informatics Degree Matters

Author: Butler, Mary

Source: Journal of AHIMA - website

Publication Date: April 2015



The HIM Problem


As HIM becomes increasingly data-centric, knowledge of informatics is becoming an essential tool.


Today, it’s hard to identify even one aspect of health information management (HIM) as a profession that isn’t profoundly affected by the use,....

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....

Vision of Health Information Management in 2010

Author: Kloss, Linda L

Source: Journal of AHIMA

Publication Date: November 1999


Two-thirds of today's health information managers will be in the prime of their careers 10 years from now. But what will the world of work look like? One way to gain an understanding of the future is to create scenarios. Scenarios are literally stories about the future th....

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....

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 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....

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....

Unlock the Information Secrets in Your Billing Database

Author: Kuehn, Lynn

Source: AHIMA Convention

Publication Date: October 10, 2001




The data contained in your billing database can provide valuable information about billing accuracy and completeness, can identify coding trends that may require investigation, or provide information on patients who may require follow-up care. The billing database for a physician, or....

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....

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....

The Year Ahead

Author: Butler, Mary

Source: Journal of AHIMA

Publication Date: January 2015



Human beings have been fascinated by birds—their flight patterns, colors, and songs—for centuries. In the ancient world, “augurs,” Roman practitioners of “augury,” looked for clues about the past and future by observing birds in flight, hoping for omens.....

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