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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....

HIM’s Expanding Role in Clinical Data Analysis and Mapping

Author: Cook, Jane

Source: Journal of AHIMA

Publication Date: September 2012


As the healthcare community works to meet the requirements of the Centers for Medicare and Medicaid Services’ (CMS) “meaningful use” EHR incentive program and other initiatives, new opportunities are forming for the health information management (HIM) professional. Roles in both clinical data....

Leveraging Data to Improve Cost and Quality of Care

Author: Kennedy, Angela

Source: Journal of AHIMA

Publication Date: September 2013



The demands of the complex and ever-growing technology-based healthcare industry have created a sense of economic urgency. The competitive environment is driving organizations toward stronger accountability and a culture of high performance. The healthcare industry is shifting from volume-....

Show Me the Data

Author: Taylor, Lisa Brooks

Source: Journal of AHIMA

Publication Date: September 2013



With the establishment of the National Quality Forum's National Quality Strategy, which sets the direction for achieving better, affordable care and healthier people and communities, providers, payers, and patients are seeing a shift in payment methodologies from volume-based to value-base....

Giving Raw Data a Chance to Talk: A Demonstration of Exploratory Visual Analytics with a Pediatric Research Database Using Microsoft Live Labs Pivot to Promote Cohort Discovery, Research, and Quality Assessment

Author: Viangteeravat, Teeradache; Rao Nagisetty, Naga Satya V

Source: Perspectives in Health Information Management

Publication Date: January 2014


Abstract


Secondary use of large and open data sets provides researchers with an opportunity to address high-impact questions that would otherwise be prohibitively expensive and time consuming to study. Despite the availability of data, generating hypotheses from huge data sets i....

Personal Genomic Information Management and Personalized Medicine: Challenges, Current Solutions, and Roles of HIM Professionals

Author: Alzu'bi, Amal; Zhou, Leming; Watzlaf, Valerie J.M.

Source: Perspectives in Health Information Management

Publication Date: April 2014


Abstract


In recent years, the term personalized medicine has received more and more attention in the field of healthcare. The increasing use of this term is closely related to the astonishing advancement in DNA sequencing technologies and other high-throughput biotechnologies. A l....

The Role of Analyzing Healthcare Data: Health Data Analysts Aggregate, Evaluate, and Validate Information for Key Healthcare Stakeholders

Author: Dooling, Julie A

Source: Journal of AHIMA

Publication Date: May 2014



Data are the assets that healthcare relies upon to provide needed information for making decisions and ultimately, hopefully, improving patient care. The volume of data collected today is staggering and continues to grow with the advent of electronic health records (EHRs). The healthcare d....

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....

Projected Impact of the ICD-10-CM/PCS Conversion on Longitudinal Data and the Joint Commission Core Measures

Author: Fenton, Susan H.; Benigni, Mary Sue

Source: Perspectives in Health Information Management

Publication Date: July 2014


Abstract


The transition from ICD-9-CM to ICD-10-CM/PCS is expected to result in longitudinal data discontinuities, as occurred with cause-of-death in 1999. The General Equivalence Maps (GEMs), while useful for suggesting potential maps do not provide guidance regarding the frequen....

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....

Informatics Harnesses Healthcare’s Wild, Rich Data

Author: Wiedemann, Lou Ann

Source: Journal of AHIMA

Publication Date: October 2014



Healthcare has become a data-rich field, and any data rich environment requires the ability to analyze large, complex data sets. The field of informatics provides tools to integrate data, information, knowledge, and wisdom when processing data. Good informatics includes many functions, and....

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.....

Earning HIM Cred: the CHDA Credential

Author: Butler, Mary

Source: Journal of AHIMA - website

Publication Date: April 2015




As health information management (HIM) professionals find themselves constantly inundated with more data, they will need to update their skills to stay on top of it. And one of the best ways to do just that is by earning AHIMA’s Certified Health Data Analyst (CHDA) credential.

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