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Registries and Networks in Healthcare

Author: Frazeur, Mary; Brown, Patricia J.

Source: AHIMA Convention

Publication Date: October 15, 2004

Introduction

Most states have used electronic record systems to report birth registry information for at least 10 years. However, the improved quality of the data from using such systems has not been realized. The Division of Vital Statistics National Center for Health Statistics (NCHS)....

Improving Patient Care Through Data Quality Management of Regulatory Reporting of Outcome Measures

Author: Panico, Mary; Hall, Debra; Berman, Regina; Siegel, Barbara

Source: AHIMA Convention

Publication Date: October 15, 2004

Introduction

In the fourth quarter of 2002, regulatory agencies began to align their initiatives driven by the National Quality Forum (NQF) evidenced-based measures, which drove the CMS 7 th Scope of Work. Project designs were to address morbidity and mortality of high-risk and high-vari....

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....

Dial T for Training: Work Force and the EHR

Author: AHIMA

Source: AHIMA Advantage

Publication Date: June 2006


What’s that sound? It could be your cell phone ringing…but it’s really a reminder to update your technology skills. Here’s the connection: Your cell phone may have the latest bells and whistles, but do you know how to use them? Likewise, are you a proficient user of the....

Enhancing Patient Care through Data Analysis

Author: Spencer, Gregory

Source: Journal of AHIMA

Publication Date: June 2010


Healthcare organizations, just like individuals, can suffer from information overload. Increasingly tasked with linking quality data to reimbursement parameters, providers now attempt to capture every piece of possible data.

The problem is that data collection has a price tag. Someti....

Making Sense of Your Relative Value Data

Author: Kuehn, Lynn

Source: AHIMA Convention

Publication Date: September 26, 2010

Introduction

The U.S. healthcare system is reimbursed by federal programs using a variety of different reimbursement methodologies, mainly based on units of service and a relative weight system for those units of service. The Medicare Physician Fee Schedule (MPFS) is based on the Resourc....

Role of Data Analysis in Revenue Cycle Improvement

Author: White, Susan E

Source: AHIMA Convention

Publication Date: September 27, 2010

Introduction

Data analysis techniques are becoming increasingly important for HIM professionals. The application of relatively simple and straightforward data analytics can identify significant opportunities for improvement in the revenue cycle. Traditional chart audits can be enhanced b....

HIM Functions in Healthcare Quality and Patient Safety. Appendix C: HIM’s Role in Data Capture, Validation, and Maintenance

Author: AHIMA

Source: AHIMA practice brief attachment

Publication Date: August 2011


A critical component of AHIMA's draft HIM Core Model, a robust description of the functions and opportunities open to current and future HIM professionals, is capture and maintenance of health data.1 HIM professionals are encouraged to assume a leadership role in outlining how data are captured....

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....

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