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When Health Information and Fiscal Management Meet

Author: Dunn, Rose T

Source: Journal of AHIMA

Publication Date: January 2001




HIM professionals have skills that can allow them to contribute to the bottom line in many ways. The author describes areas where HIM expertise can make a difference in evaluating an organization's fiscal performance through analysis of services driven by health information.
HI....

Using Additional Diagnoses to Improve Productivity

Author: Martin, Ginny

Source: CodeWrite

Publication Date: February 2016



ICD-10 has now been in effect for several months and coding professionals have become more familiar with the new codes and guidelines. The initial training and education is complete and ongoing quality reviews are being done to analyze coding accuracy. But what else can this data tell us?....

Testimony of the American Health Information Management Association to the Workgroup on Quality of the National Committee on Vital and Health Statistics

Author: Rode, Dan; Siegel, Barbara

Source: AHIMA testimony and comments

Publication Date: September 14, 2004


September 14, 2004

Opening Comments

Chairman Hungate, members of the Workgroup on Quality, ladies and gentlemen, good morning. I am Dan Rode, vice president of policy and government relations for the American Health Information Management Association (AHIMA). Joining me th....

Steering Quality Improvement in Healthcare

Author: Schoenfelt, Suzanne

Source: Journal of AHIMA

Publication Date: February 2000


"Quality" is a multi-industry buzzword, but what does it really mean in today's healthcare climate? We asked the experts for their views on the state of quality improvement in healthcare and what lies in store for HIM professionals as QI evolves.
For decades, healthcare has concerned its....

Seizing the Moment to Improve the Quality of Health Information Management

Author: Goshen, Naomi; Nachmani, Frances ; Sasson, Nadine ; Itzchak, Tzipi ; Sayfan, J; Kopelman, D; Kolton, L; Vigder, L; Almog, D; Tiosano, T

Source: IFHRO Congress | AHIMA Convention

Publication Date: October 15, 2004

Introduction

The need for accurate and complete records pertaining to operative procedures and diagnoses in surgery wards is almost self-evident. It is so because human life issues are at stake and erroneous and incomplete documentation may harm follow-up treatment as well as research da....

Screening for Colorectal Cancer

Author: Petersen, Darley

Source: IFHRO Congress | AHIMA Convention

Publication Date: October 15, 2004

Background  
Colorectal cancer (CRC) remains the second most common cause of cancer death in Western Europe and North America.
Screening for CRC has not worldwide popularity in spite of proven survival benefit in average risk persons. Incidence and mortality, both are worrying in E....

Reporting Codes Accurately

Author: Giannangelo, Kathy

Source: Journal of AHIMA - Coding Notes

Publication Date: September 2005


Coding professionals routinely review records and, when appropriate, query physicians to clarify a condition. Once the specifics are known, ICD-9-CM is used to determine the appropriate codes to record a patient’s diagnosis and report the healthcare claim. Coding professionals know that....

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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