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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....

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....

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....

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....

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....

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....

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....

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....

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....

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....

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 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....

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-....

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,....

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....

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....

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