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Effectiveness of ICD-10-CM in Capturing Public Health Diseases

Author: Watzlaf, Valerie J.M.; Garvin, Jennifer Hornung; Moeini, Sohrab; Firouzan, Patricia Anania

Source: Perspectives in Health Information Management

Publication Date: June 2007

This research study examined the usefulness of the ICD-10-CM system in capturing public health diseases (reportable diseases or the nationally notifiable infectious diseases, leading causes of death, and morbidity/mortality related to terrorism), when compared to ICD-9-CM. It also examined agreement levels of coders when coding public health diseases in both ICD-10-CM and ICD-9-CM.

ICD-10 Preparation Checklist

Author: Bowman, Sue E; Zeisset, Ann M.

Source: AHIMA

Publication Date: June 02, 2007


The content in this checklist has been updated. More recent information is available here.

Editor's note: This article updates information contained in "ICD-10 Preparation Checklist, parts 1 and 2," originally published in the June and July-August 2004 issues of the Journal of AHIMA....

IRF PPS Coding Challenges

Author: Trela, Patricia

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

Publication Date: May 2007


Inpatient rehabilitation facility (IRF) coding can be a challenge due to the Medicare Inpatient Rehabilitation Facility Prospective Payment System (IRF PPS), which was implemented in 2002 to cover patients paid under Medicare Part A. IRF PPS requires completion of the IRF-Patient Assessment In....

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....

Choosing the Right Coding Credential

Author: Buck, Stacie L

Source: AHIMA community resource

Publication Date: January 02, 2007


As the demand for qualified coders has increased, so has the number of coding programs and coding certifications available to coding professionals seeking to demonstrate their coding proficiency. The business of offering credentials is indeed a lucrative one with many organizations competing....

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....

FY 2007 IPPS Overview: Comprehensive Changes in Effect for Inpatient Prospective Payment System

Author: Johnson, Laurie M.; Garrett, Gail S.

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

Publication Date: November 2006


The Inpatient Prospective Payment System (IPPS) final rule for fiscal year 2007 will prove challenging for inpatient providers. The rule (published in the August 18 Federal Register and available at www.access.gpo.gov/su_docs/fedreg/a060818c.html) includes some of the most comprehensive changes....

Opening Pandora's Box: Pure Coding vs. Charge Master Driven Coding--a Case Study at Duke University Health System

Author: Stone, Fabian; Egan, Jeanne M.; LeBoutillier, Richard; Blackwelder, Dean

Source: AHIMA Convention

Publication Date: October 31, 2006

Opening Pandora’s Box: Pure Coding vs. Charge Master Driven Coding
A Case Study at Duke University Health System
Fabian Stone, MBA, MHA, Duke University Hospital
Jeanne Egan, MBA, RHIA, CHP, CCA, BearingPoint
Richard LeBoutillier, MPA, CPHQ, BearingPoint
Dean Blackwel....

Effective and Efficient Public Health Reporting Using ICD-10-CM and ICD-10-PCS

Author: Watzlaf, Valerie J.M.; Garvin, Jennifer Hornung; Moeini, Sohrab; Firouzan, Patricia Anania

Source: AHIMA Convention

Publication Date: October 31, 2006

Effective Public Health Reporting Using ICD-10-CM
Valerie JM Watzlaf, PhD, FAHIMA, RHIA, Jennifer Hornung Garvin, PhD, FAHIMA, RHIA, CTR, CCS, CPHQ, Sohrab Moeini, BSIS, and Patti Firouzan, MSIS, RHIA
Impact
Introduction

The emergence of ICD-10-CM brings anticipation about....

Implementing and Managing a Virtual Coding Department

Author: Glass, Sarah

Source: AHIMA Convention

Publication Date: October 31, 2006

Implementing and Managing a Virtual Coding Department
Sarah Glass, MA, RHIA, CCS
Introduction

The electronic health record (EHR) provides facilities with an opportunity to offer teleworking as a recruitment and retention tool for the coding staff in the HIM department. This pape....

Coding Pregnancy

Author: Bronnert, June

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

Publication Date: October 2006


While science and research have shed light on the various stages of fetal development, the process is still fascinating. This article details each month of a fetus’s development and reviews common delivery complications and where related information may be documented in the record.
....

Using Intrinsic and Extrinsic Metrics to Evaluate Accuracy and Facilitation in Computer-Assisted Coding

Author: Resnik, Philip; Niv, Michael; Nossal, Michael; Schnitzer, Gregory L.; Stoner, Jean; Kapit, Andrew; Toren, Richard

Source: AHIMA Computer-Assisted Coding Meeting

Publication Date: September 06, 2006

Computer-assisted coding (CAC) evaluation can be viewed from two related but distinct perspectives: accurately identifying codes, and more generally facilitating the process of human coding and information flow within and among healthcare organizations. The first perspective calls for intrinsic metrics, grounded in comparison with a gold standard. The second perspective calls for extrinsic techniques, grounded in the real-world task. We discuss this distinction and present an experimental evaluation of CAC using both intrinsic and extrinsic measures.

Assessing Coder Change Rates as an Evaluation Metric

Author: Stoner, Jean; Nossal, Michael; Resnik, Philip; Kapit, Andrew; Toren, Richard

Source: AHIMA Computer-Assisted Coding Meeting | Perspectives in Health Information Management

Publication Date: September 2006

In a typical model for computer-assisted coding, the system automatically identifies codes, which are then improved by a human review coder in order to more closely approach the codes that would be assigned to the note by an idealized "gold standard" coder. Assuming such a model, a natural method for evaluating system accuracy might be the coder change rate—specifically, the percentage of notes approved by a coder without modification in a day-to -day business setting. In this paper we look more carefully at change rates as a measure of coding accuracy.

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