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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....

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....

Watson vs. Big Data

Author: AHIMA Staff

Source: Journal of AHIMA

Publication Date: July 2015


It is the matchup of the century—the towering hulk of healthcare’s Big Data versus the super computer known as Watson. Will Watson be able to take on this lumbering, untamed mass of information and whip it into submission?


One year ago, the Journal of AHIMA reported on the IBM su....

Utilizing Open-Source Government Data Sets in Health Information Management Teaching: An Application in Statistics and Data Analytics

Author: Alakrawi, Zahraa M; Watzlaf, Valerie J.M.; Aborde, Jon; Johnson, Carey; Johnson, Timothy

Source: Educational Perspectives in Health Informatics and Information Management

Publication Date: July 2016


Abstract


The American Health Information Management Association (AHIMA) Council for Excellence in Education acknowledges the importance of improving the data analytics skills of health information management (HIM) students at the baccalaureate level. This importance is especially....

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....

Power of Data Analytics is Within Reach

Author: Birnbaum, Cassi L

Source: Journal of AHIMA

Publication Date: October 2015



Data are the lifeblood of our healthcare ecosystem, with the potential of enabling organizations to improve care, manage chronically ill patients, lower costs, achieve compliance, support research, increase patient safety, and meet operational and strategic initiatives. Although health inf....

Tying Together CDI, ICD-10, and Healthcare Data Analytics: How CDI Programs and ICD-10 Are Impacting Data Analytics—and The Benefits Healthcare Organizations Are Seeing

Author: Bradley, Paul

Source: Journal of AHIMA

Publication Date: October 2016



A year in and ICD-10 is almost approaching the point of old news.


Of course—I’m kidding! Nothing could be further from the truth. From a data analytics perspective, the impact of ICD-10 is only beginning to be realized and understood.


For one, this first year....

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.

How to Break Into Analytics and Informatics

Author: Butler, Mary

Source: Journal of AHIMA

Publication Date: October 2016



Shawn Wells, RHIT, CHDA, manager of HIM data integrity at the University of Utah Healthcare, put himself on the health information management (HIM) career trajectory that HIM educators dream of using as an example.


Wells, who was also the first person in the state of Utah....

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....

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....

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....

Becoming a Data Master

Author: Eramo, Lisa A

Source: Journal of AHIMA

Publication Date: March 2017



As an independent contractor and data analytics subject matter expert (SME), Lisa Brooks Taylor, RHIA, spends most of her time working with professional associations and large insurers developing machine-computable algorithms to analyze healthcare data. She works closely with data scientis....

Unlocking the Benefits of ICD-10 through Data Analytics

Author: Ewing, Crystal

Source: Journal of AHIMA

Publication Date: June 2016



The reality of the ICD-10-CM/PCS implementation and the fact that it was, by all measures, a success, is the payoff of years of hard work. It’s the product of lessons learned from the implementation of 5010 and the outcome of diligence on the part of healthcare professionals, providers, a....

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....

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)....

Moving HIM into Data Analytics a Must

Author: Gordon, Lynne Thomas

Source: Journal of AHIMA

Publication Date: October 2015



We must transform healthcare into a data-driven culture… because that’s where our bosses are headed.


A recent issue of Hospitals & Health Networks cited data analytics as one of the top skills that will be most critical in the next three years for healthcare....

Owning the EHR and Information Governance at Your Facility

Author: Head, Erin

Source: Journal of AHIMA

Publication Date: August 2015



For many decades, health information management (HIM) departments have been the hub for information collected within healthcare organizations. HIM has frequently been referred to as the “medical records department” due to the perceived idea that the department’s main tasks are receiving a....

Digital Family History Data Mining with Neural Networks: A Pilot Study

Author: Hoyt, Robert; Linnville, Steven; Thaler, Stephen; Moore, Jeffrey

Source: Perspectives in Health Information Management

Publication Date: January 2016


Abstract


Following the passage of the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009, electronic health records were widely adopted by eligible physicians and hospitals in the United States. Stage 2 meaningful use menu objectives include a digi....

HIM's Role in Health Data Analysis

Author: Kadlec, Lesley

Source: Journal of AHIMA

Publication Date: June 2016



In today’s healthcare environment, data abounds. From the time of admission through the patient care episode, discharge, and aftercare, the volume of clinical data in healthcare continues to grow and expand. Regardless of whether the data results from a patient office visit, the lab,....

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-....

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....

Applying Predictive Analytics: The Role of Artificial Neural Networks in Predicting Alzheimer’s Disease

Author: Monga, Kapila

Source: Journal of AHIMA - website

Publication Date: December 22, 2016



The phrase “Longevity Revolution,” referring to the increase in human life expectancy by 30 years, isn’t new anymore. Various books have been written on this subject, and it is a widely discussed topic in conferences these days. It is a no-brainer that this increase in life expectancy warr....

Making Health Data Elegant

Author: Moschel, Matthew

Source: Journal of AHIMA

Publication Date: October 2015



Too often, data analysts make life difficult for themselves. An analyst may produce code that is much longer and more complicated than it needs to be, causing a coworker to re-run code for several hours, not including the execute time. Why? These challenges stem from three root sources of....

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....

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....

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....

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....

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....

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