Search Results

= Members only

Current search

87 results.

1 2 [3] 4

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....

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....

1 2 [3] 4