87 results.
Health Data Analysis Toolkit
Author: AHIMA
Source: AHIMA toolkit
Publication Date: September 2014
The content in this toolkit has been updated. More recent information is available here.
Health Data Analysis Toolkit
Author: AHIMA
Source: AHIMA toolkit
Publication Date: January 2011
The content in this toolkit has been updated. More recent information is available here.
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....
HIM's Role in Managing Big Data: Turning Data Collected by an EHR into Information
Author: Bonney, Steven
Source: Journal of AHIMA
Publication Date: September 2013
For years, US healthcare facilities' electronic health record (EHR) systems have been collecting and storing exabytes of patient information. A tremendous amount of structured data is being created and given to HIM professionals, and a great deal of action is expected from them.
....
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.....
Mind the Gap: HIM Rushes to Bridge Educational and Professional Gaps Caused by a Quickly Advancing Industry
Author: Butler, Mary
Source: Journal of AHIMA
Publication Date: February 2015
American high school students approaching their senior year have good reason to envy their European counterparts who enjoy the more common experience of a “gap year” between high school and college.
A gap year, at least in Europe, is a socially accepted opportuni....
Data Bank: Using Data Assets to Support Evolving Payment Models and Survive Healthcare Reform
Author: Butler, Mary
Source: Journal of AHIMA
Publication Date: October 2015
Washington, DC, has one of the highest populations of individuals who either have AIDS or are HIV-positive in the US. In an effort to improve early diagnosis rates, treatment compliance, and prevention, researchers are using innovative data analytics methods to track participants in a pil....
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.
HIM’s Role in Disease Tracking, Data Mining, and Patient Monitoring
Author: Butler, Mary
Source: Journal of AHIMA - website
Publication Date: November 2014
In the current US healthcare climate, panic and paranoia prevail as deadly diseases like Ebola and tuberculosis command public attention and the World Health (WHO) organization and the Centers for Disease Control and Prevention (CDC) work to provide relevant guidance. A....
Workaday Informatics: How Healthcare is Applying Practical Informatics to Save Dollars and Lives
Author: Butler, Mary
Source: Journal of AHIMA
Publication Date: May 2015
Watch and learn. For clinical informaticist Nathan Patrick Taylor, MPH, MS, CHDA, and others like him, watching patient-physician encounters and learning from them is just as important as knowing how to query data in a health IT system. Because as technical as informatics can get, at its....
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....
Preventing Hospital-Acquired Infections Starts with Data Collection
Author: Cange, John R
Source: Journal of AHIMA
Publication Date: January 2016
To prevent a problem, however, requires that you understand the potential causes of the problem—and this understanding requires data. A complete understanding requires a complete dataset. In the case of HAIs, the ideal dataset would contain data concerning every type of HAI from ever....
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....
Data Mining a Breach’s Silver Lining: Analyze Breach Data to Improve Release of Information Performance in HIM
Author: Delahoussaye, Elizabeth A
Source: Journal of AHIMA
Publication Date: October 2016
Health information management (HIM) professionals can pull meaningful information from privacy and security breach data to evaluate release of information (ROI) processes, uncover workflow risks, and implement corrective measures. While large scale breaches impacting millions of patients m....
Data Analysis Starter Kit: How to Apply Informatics and Analyze ROI as an e-HIM Professional
Author: Dolezel, Diane
Source: Journal of AHIMA
Publication Date: May 2015
The digital era of Big Data has generated a growing need for more electronic health information management (e-HIM) professionals who can assume the emerging role of data analyst.1 This new role requires learning how to analyze data and perform statistical calculations to support informed d....
Leveraging Visual Controls and Retrospective Analysis to Improve Patient Care
Author: Donofrio, Monica; Wolfinger, Jennifer
Source: AHIMA Convention
Publication Date: September 27, 2010
Background
Healthcare reform will require that organizations take advantage of technology to provide safer, more effective care. A natural by-product of the rapid adoption of clinical technology is the vast amount of data it produces. Yet many organizations lack the infrastructure....
Advancing Technology Connects Transcription and Coding: The Developing Role of NLP, NLU, and CAC in HIM
Author: Dooling, Julie A
Source: Journal of AHIMA
Publication Date: July 2012
For many years transcription and coding departments have been two separate and independent structures within health information management (HIM).
While these areas have always been interdependent regarding their need to share documentation, their technology platforms have op....
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....
Documentation and Coding in a Risk-based Environment: Obstacles to Be Aware Of
Author: Easterling, Sharon
Source: CodeWrite | AHIMA newsletter article
Publication Date: September 2015
With the implementation of the Value-Based Purchasing Model (VBP) and, more recently, statements in the Sustainable Growth Rate (SGR) fix, it remains clear that healthcare is going through a time of change. We must recognize risk in not only patient health management and outcomes, bu....
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....
Healthcare's Data Revolution: How Data is Changing the Industry and Reshaping HIM's Roles
Author: Eramo, Lisa A
Source: Journal of AHIMA
Publication Date: September 2013
The hunger for analyzed healthcare data to improve delivered care and to better meet quality measures is spurring a revolution in healthcare. Providers are demanding better health IT systems that allow HIM and data analytics professionals to sift through large amounts of data and turn it i....
HIM, Quality, and Safety: Data Collection and Analysis Skills Offer a Natural Role in Patient Safety
Author: Eramo, Lisa A
Source: Journal of AHIMA
Publication Date: April 2010
A penchant for data analysis is what initially drew Virginia Mullen, RHIA, to an HIM career focusing on data quality and ultimately patient safety.
Mullen entered the world of HIM in the early 1980s, when DRGs had just made their debut and the concept of data quality had only begun....
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....
Big Data, Bigger Outcomes
Author: Fernandes, Lorraine M.; O'Connor, Michele; Weaver, Victoria
Source: Journal of AHIMA
Publication Date: October 2012
Healthcare is embracing the big data movement, hoping to revolutionize HIM by distilling vast collections of data for specific analysis
One only needs to open a recent conference brochure, read an electronic newsletter, or preview marketing materials to appreciate that "B....
Informatics: How an Emerging Field of Study Benefits HIM
Author: Forgey, Danita; Vickrey, Jennifer
Source: Journal of AHIMA
Publication Date: June 2005
HIM, meet informatics. This could be the beginning of a beautiful friendship.
Technology is introducing HIM to the science of informatics. It's a relationship with a promising future. Informatics concerns the development of new uses for technology and assesses technology's impact....
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....
Data, Information, Knowledge: A Healthcare Enterprise Case Study
Author: Gudea, Sorin
Source: Perspectives in Health Information Management
Publication Date: November 2005
Abstract
An efficient, integrated health services delivery enterprise requires the ability to coordinate service delivery across the provider network and avoid duplication of services. It must be able to associate relevant clinical information with patients regardless of which fa....
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....
Calling All Data Mongers—Consider a Career as a Health Data Analyst
Author: Kadlec, Lesley
Source: AHIMA blog post | Journal of AHIMA - website
Publication Date: December 18, 2015
If you are reading this blog post, you have probably already figured out that data analytics is complex. Understanding data analytics is like the proverbial peeling back of the onion skin, the more layers you take off, the more layers you find underneath.
In today’s healthcar....
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,....
HIM as the Middleman to Informatics and Data Analytics
Author: Kadlec, Lesley; Kirby, Annessa
Source: AHIMA blog post | Journal of AHIMA - website
Publication Date: October 06, 2016
We hear so much about the amount of data available in healthcare today. But we are just beginning to understand the importance of analyzing that data to make decisions. As buzzwords like “information governance” and “data analytics” are becoming more mainstream, the analysis of data i....
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-....
Health Information Exchange Readiness for Demonstrating Return on Investment and Quality of Care
Author: Khurshid, Anjum; Diana, Mark L; Jain, Rahul
Source: Perspectives in Health Information Management
Publication Date: 2015
Abstract
Objective—To study the extent to which community health information exchanges (HIEs) deliver and measure return on investment (ROI) and improvements in the quality of care.
Materials and Methods—We surveyed operational HIEs for their characterist....
Quality Improvement and Data Analytics in the Era of the Electronic Health Record
Author: Kloss, Linda L
Source: AHIMA Convention
Publication Date: October 02, 2011
Introduction
It has been 12 years since the Institute of Medicine (IOM) published its landmark study “To Err is Human” with its astonishing conclusion that avoidable medical errors contribute to 44,000–98,000 deaths at US hospitals annually.1 It has been 10 years since t....
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....
Making the Most of Comparative Data in Hospital Benchmarking
Author: Kuehn, Lynn; Hyde, Linda A.
Source: AHIMA Convention
Publication Date: September 27, 2010
Introduction
A key component of evaluating health care performance is the use of comparisons. Comparative data can come from internal or external sources and allows the user to evaluate their outcomes or measures against another data set. This aids in determining if their organization is....
Paging Dr. Watson: IBM’s Watson Supercomputer Now Being Used in Healthcare
Author: Lee, Howard
Source: Journal of AHIMA
Publication Date: May 2014
When IBM announced that they were developing a supercomputing system called “Watson,” many fans of literary icon Sherlock Holmes thought of the London-based detective’s trusted friend Dr. John Watson—and not the computer’s actual namesake, IBM founder Thomas Watson. But the mistake isn’t....
EMPI Links Hospitals to Transform Data Exchange and Research in 17-County North Texas Region
Author: Mendoza, Theresa; Kotyk, Steve
Source: AHIMA Convention
Publication Date: October 02, 2011
Background
Controlling readmission rates for hospitalization is an important focus for patients and hospitals. Many organizations can track patients readmitted within their own facilities, but are unaware and unable to analyze patients who have gone to a hospital outside of their organiz....
Health Information Management Efficiency Implications for Finance
Author: Middleton, Anne; Durham, Bob
Source: AHIMA Convention
Publication Date: October 15, 2004
Introduction
Well-ordered review and analysis of financial data often improves operational and clinical performance in healthcare by highlighting ideal development opportunities. Variations in billing data collection, accuracy, and timeliness directly impact development opportunity ident....
Leveraging Analytics to Reduce Readmissions
Author: Monga, Kapila
Source: AHIMA blog post | Journal of AHIMA - website
Publication Date: May 19, 2016
Hospital readmissions cost significant money to our healthcare system every year. According to a report from the Healthcare Cost and Utilization Project and Agency for Healthcare Research and Quality, the total cost of the 3.3 million adult 30-day all-cause readmissions in the US was $41.3....
Solving the Documentation Puzzle with Data Analytics
Author: Monga, Kapila
Source: AHIMA blog post | Journal of AHIMA - website
Publication Date: August 17, 2016
“It’s a beautiful day to save lives. Let’s have some fun,” so says Dr. Derek Shepherd (of “Grey’s Anatomy” fame) and with a smile on his face, gets on with his day’s activities—to help patients heal. I haven’t seen many doctors work, except in “Grey’s Anatomy,” but I have interacted w....
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....
Collaborating for Compliance: CMS' Hospital Payment Monitoring Program and Pepper Reports
Author: Orenstein, Anita; Newton, Kathy
Source: AHIMA Convention
Publication Date: October 21, 2005
Introduction
Hospitals throughout the country are being provided with the Program for Evaluating Payment Patterns Electronic Reports (PEPPER) to review and take appropriate action. These reports are being sent to hospitals to assist them with identifying possible areas where improvements might....
Informatics and HIM: Enabling Semantic Interoperability and the Learning Health System
Author: Orlova, Anna
Source: Journal of AHIMA
Publication Date: September 2015
Medical informatics is a field formalized in the 1990s with the rise of the adoption of information technology in healthcare including electronic health records systems (EHRs), laboratory information management systems (LIMS), radiology systems, and other health information technology (HIT....
Examining the Computation of the Chi-square Statistical Test
Author: Overgaard, Shauna M
Source: AHIMA blog post | Journal of AHIMA - website
Publication Date: October 2015
Outcome measures such as patient satisfaction, rates of readmission, and procedural complications play heavily into the penalization of an organization’s financial reimbursement.
It is important to evaluate data on multiple levels in order to consider all opportunities for in....
Measurement Brings Meaning to Population Health
Author: Overgaard, Shauna M; Dooling, Julie A
Source: AHIMA blog post | Journal of AHIMA - website
Publication Date: August 27, 2015
Healthcare payments are shifting and the industry is in a rapid state of change. Efficiencies to render patient care as a top priority are crucial. Measuring brings efficiencies and meaning to a patient population.
High-Level Measurements
Population-based statistics....
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....
Framework for Designing a Healthcare Outcome Data Warehouse
Author: Parmanto, Bambang; Scotch, Michael; Ahmad, Sjarif
Source: Perspectives in Health Information Management
Publication Date: September 2005
Abstract
Many healthcare processes involve a series of patient visits or a series of outcomes. The modeling of outcomes associated with these types of healthcare processes is different from and not as well understood as the modeling of standard industry environments. For this re....
Health Information Plays Big Role in Competitive Strategies of Population Health Analytics
Author: Perez, Ken
Source: Journal of AHIMA
Publication Date: January 2017
“Strategy is about making choices, trade-offs. It’s about deliberately choosing to be different,” says Michael Porter, a Harvard Business School professor and expert on economics and business strategy.1
That advice certainly applies to the rising number of a....
Developing Productivity Standards through Analytics [sponsored article]
Author: Pitsikoulis, John; Doty, Laura
Source: Journal of AHIMA - website
Publication Date: July 15, 2016
“Productivity” is defined as the effectiveness of productive effort, measured in terms of the rate of output per unit of input, easily defined and applicable in many manufacturing scenarios. For the line worker in a manufacturing plant, output is basically the number of widgets or com....
In Pursuit of Analytics: Best Practices for Healthcare Data Integration
Author: Plummer, Eric
Source: AHIMA Convention
Publication Date: October 02, 2011
Background
One of the fundamental challenges associated with the pursuit of Healthcare Analytics, is the diverse number of applications and source information systems that must be accessed. These systems (EHR/EMR/PM/LAB/RAD/...) were designed to capture all of the relevant information abo....
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....
Closer Look at Drug Spending Data
Author: Ryznar, Barbara
Source: AHIMA blog post | Journal of AHIMA - website
Publication Date: October 12, 2016
Understanding the cost of prescription drugs can be challenging. The recently introduced Centers for Medicare and Medicaid Services (CMS) Medicare Spending Dashboard, an example of the principle of collecting healthcare data once and reusing it to serve the needs of multiple stakehold....
Application of Simulation to Facility Planning Utilizing an Organization’s Forecasted Growth Strategy
Author: Saunders, Ninfa M.
Source: Perspectives in Health Information Management
Publication Date: October 2010
Developing an Effective Compliance Audit Process. Appendix C: Tracking and Analysis of Auditing Data
Author: Scichilone, Rita A
Source: AHIMA Convention
Publication Date: October 10, 2001
Sample format for tracking and analysis of auditing data-pictures work best!
Aggregate Data Findings from MEDPAR Database for XYZ Hospital Target DRGs DRG Cluster XYZ National Variance
Number of Discharges in _ DRG Total for Grou....
Transforming Data into Meaning: Standards-based Capabilities to Bring Disparate Data Sources Together
Author: Selsky, Darren
Source: Journal of AHIMA
Publication Date: March 2016
Data integration is a costly activity, but one that is used by healthcare organizations on a daily basis to unite information from diverse sources, such as lab, pharmacy, and radiology. This data is typically centralized in electronic health records (EHRs) or other niche systems for clini....
Two Key Metrics in Evaluating the Effectiveness of Hospital Coding Services: Paid Claims Error Rate and Coding Accuracy
Author: Spencer, Carol
Source: AHIMA Convention
Publication Date: September 27, 2010
Measurement, as defined by Webster's Dictionary, is to regulate by a standard, an estimate of what is expected, a basis or standard of comparison, a step planned or taken as a means to an end, to choose or control with cautious restraint. This is accomplished repeatedly and systematically....
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....
Getting Your Feet Wet with Open-Source Statistical Languages
Author: Taylor, Nathan Patrick
Source: AHIMA blog post | Journal of AHIMA - website
Publication Date: January 25, 2016
If you are new to healthcare analytics, it can be quite expensive to get up and running with a statistical application. Between the cost of the software itself and the instructional courses—not to mention your investment of time—just getting started could run several thousand dollars. Than....
Analytics: The Nervous System of IT-Enabled Healthcare
Author: Terry, Ken
Source: External web site | External healthcare industry report
Publication Date: May 17, 2013
This report is designed to help health care executives identify and understand models for innovative uses of data that can enable them to reduce costs, improve gaps in care, stratify patient populations, improve quality, and provide more accessible care.
Researchers Using Visual Analytics to Improve Care Quality
Author: Viangteeravat, Teeradache; Rao Nagisetty, Naga Satya V
Source: Journal of AHIMA
Publication Date: May 2014
Editor’s note: This article is an excerpt from a manuscript published in the Winter 2014 issue of AHIMA’s quarterly scholarly research journal, Perspectives in Health Information Management, “Giving Raw Data a Chance to Talk: A Demonstration of Exploratory Visual Analytics with a Pe....
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....
Information Governance Provides the Framework for Data Governance
Author: Washington, Lydia
Source: AHIMA blog post | Journal of AHIMA - website
Publication Date: November 12, 2015
Data governance is a hot topic these days, as healthcare organizations begin to realize that the analytics capabilities that are necessary for new care and payment models are not feasible without some sort of unified and consistent enterprise approach to data management. Building an effect....
Aligning Computer-Assisted Coding and Information Governance Efforts
Author: Weinberg, Jason; Peterson, Stephanie; Marc, David; Sandefer, Ryan
Source: Journal of AHIMA
Publication Date: October 2015
AHIMA defines information governance as “the enterprise-wide framework for managing information throughout its lifecycle and supporting the organization’s strategy, operations, regulatory, legal, risk and environmental requirements.”1 AHIMA recognizes that successful heal....
Data Mining for Physician and Managed Care Organization
Author: Welfeld, Joseph A.
Source: AHIMA Convention
Publication Date: October 15, 2004
by Joseph A. Welfeld, FACHE
Introduction
Data mining often brings to mind complex and comprehensive software applications that take information from various data sources and attempt to extract valuable information. When operational executives hear the term, their eyes often glaze o....
What Makes Data Meaningful? The Important Role of Data Structures
Author: Wendicke, Annemarie
Source: Journal of AHIMA
Publication Date: March 2016
Healthcare is striving for meaningful health data—something well noted in many recent industry articles and presentations. But how will the cultivation of meaningful data be accomplished in the healthcare industry’s complex environment?
Healthcare data comes from....
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....
Accountable Care and Data Analytics Emerging in Healthcare
Author: White, Susan E; Taylor, Lisa Brooks
Source: Journal of AHIMA
Publication Date: November 2012
Value-based purchasing of healthcare is transforming the US healthcare delivery system and payment methodologies. Spurred by commercial pay-for-performance initiatives and the roll out of the Centers for Medicare and Medicaid Services’ (CMS) Medicare Shared Savings Program (MSSP), accountable....
Seasoning Your Compliance Plan with PEPPER: How to Read PEPPER Data on Payment Errors
Author: Wiedemann, Lou Ann
Source: Journal of AHIMA
Publication Date: January 2007
PEPPER data help facilities compare their Medicare payments with state and national averages. Here’s how to read yours.
Hospitals can take advantage of a report that helps them compare their Medicare reimbursement to state and national averages. What they learn can help them....
Nonsensical Data Input Produces Undesired Output for Data Analysis
Author: Wiedemann, Lou Ann
Source: Journal of AHIMA
Publication Date: June 2014
There is a growing hunger in healthcare today for attaining meaningful data. It is no longer an option to sift through large amounts of data stored in a variety of systems, spending valuable man hours to produce information that can be utilized to make good business decisions. Allowing fo....
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....
Data Analytics: It’s Hip to be Square
Author: Wiedemann, Lou Ann
Source: AHIMA blog post | Journal of AHIMA - website
Publication Date: September 21, 2016
Big data. Data explosion. Predictive analytics. Population health. Data management. Chronic disease monitoring. Natural language processing. As though healthcare was not struggling enough to keep up with acronyms, synonyms, abbreviations, and poorly defined buzzwords, we have entered the e....
Are You a Data Analyst and Don’t Know It?
Author: Wiedemann, Lou Ann
Source: Journal of AHIMA
Publication Date: October 2015
Do you analyze case mix? Have you been asked to run a report on patients seen in the emergency department with dog bites? Do you report monthly physician query trends? Have you ever been asked to “pull that information out of the EHR?” Do you know that revenue code 361 often re....