87 results.
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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....
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