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Re-abstraction Studies to Assess Data Quality for Use in the Development of a Grouping Methodology

Author: Mitchell, Sandra; Bartoli, Holly

Source: IFHRO Congress | AHIMA Convention

Publication Date: October 15, 2004

Purpose

The purpose of this paper is to provide an overview of the data quality re-abstraction studies that have been conducted in Canada. These studies provide a baseline of reliability for clinical administrative data submitted to the Discharge Abstract Database (DAD). Canada began a s....

Quest for Quality and Comparability in the National Healthcare Database: Announcing A Payer’s Guide to Health Care Data Quality and Integrity

Author: AHIMA Coding Policy and Strategy Committee

Source: Journal of AHIMA - Coding Notes

Publication Date: September 1996


As the computer-based patient record slowly becomes a reality, the need has never been greater for a national cooperative effort to recognize and apply uniform terminology and coding guidelines for both the clinical community and fiscal intermediaries. AHIMA’s Coding Policy and Strategy Commit....

Preparing for ICD-10- CM/PCS Implementation: Impact on Productivity and Quality

Author: Stanfill, Mary H; Hsieh, Kang Lin; Beal, Kathleen; Fenton, Susan H.

Source: Perspectives in Health Information Management

Publication Date: July 2014


Abstract


Coding productivity is expected to drop significantly during the lead-up to and in the initial stages of ICD-10-CM/PCS implementation, now expected to be delayed until October 1, 2015. This study examined the differences in coding productivity between ICD-9-CM and ICD-10-....

Performance Improvement for Documentation

Author: Labak, Carol

Source: Journal of AHIMA

Publication Date: October 1998


We've all seen it before: that look of bewilderment on a physician's face when a discussion about documentation arises. While this is not the first incidence of this discussion between the physician and the health information manager, neither is it the first time the HIM professional ....

PEPP: Collaborating to Improve Quality

Author: Poole, Laurie

Source: Journal of AHIMA

Publication Date: April 2001




By collecting and analyzing information about Medicare payment errors, PEPP initiatives are making a contribution to healthcare quality efforts nationwide. Here's how one organization takes a collaborative approach to improving quality.
State Payment Error Prevention Programs (....

Payers Guide Articles

Author: AHIMA

Source: AHIMA bibliography

Publication Date: 2001


The Quest for Quality and Comparability in the National Healthcare Database: Announcing A Payer’s Guide to Health Care Data Quality and Integrity
by AHIMA’s Coding Policy and Strategy Committee

Summary of ICD-9-CM Coordination and Maintenance Committee Meeting
by Sue Prop....

Nursing Data, Classification Systems, and Quality Indicators: What Every HIM Professional Needs to Know

Author: Henry, Suzanne Bakken; Warren, Judith J.; Zielstorff, Rita D.

Source: Journal of AHIMA

Publication Date: May 1998

by Suzanne Bakken Henry, RN, DNSc, FAAN, Judith J. Warren, RN, PhD, FAAN, and Rita D. Zielstorff, RN, MS, FAAN

The nursing profession has developed a number of classification systems. What can HIM professionals learn from the processes and results? This article presents an overview of the....

New Focus on Process and Measure: Raising Data Quality with a Standard Coding Workflow and Benchmarks

Author: Wilson, Donna D; Hampton-Bagshaw, Kim; Jorwic, Therese M; Bishop, Jean; Giustina, Elizabeth

Source: Journal of AHIMA

Publication Date: March 2008




Establishing a standard coding workflow that incorporates continuous improvement and creating performance benchmarks is key to improving the quality of coded data.



HIM professionals who assign codes or manage coded data take responsibility for translating clinical....

Model for International Comparative Studies Using Routine Hospital Morbidity Data

Author: Jones, Lauren M.; Reid, Beth A.; Aisbett, Chris W.

Source: IFHRO Congress | AHIMA Convention

Publication Date: October 15, 2004

Abstract
The problem addressed in this paper is the difficulty of assessing across nations the impact of different policies on health outcomes without a reliable way of comparing routine hospital morbidity data. This paper presents the findings of a study that evaluated the accessibility and....

Medicare Data Study Spotlights Coding Errors

Author: Cottrell, Carlton

Source: Journal of AHIMA

Publication Date: September 2000



Coding quality for Medicare claims is an area of constant concern. Coding errors can have far-reaching effects in the healthcare universe, and coders are experiencing increased scrutiny from both regulators and hospitals looking to control costs. As a follow-up to results of a Medica....

Maximizing Data Quality of the Minimum Data Set

Author: Zender, Anne

Source: Journal of AHIMA

Publication Date: June 1998


HIM professionals who work in long term care settings are well acquainted with the Minimum Data Set 2.0 (MDS). Since 1990, it has been part of the standardized assessments that nursing homes participating in the Medicare and Medicaid programs must complete. Starting this summer, updated submis....

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