887 results.
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The ‘Ins’ and ‘Outs’ of Data Conversions
Author: Taylor, Nathan Patrick
Source: Journal of AHIMA
Publication Date: November 2015
Many people in healthcare tend to think simply about data “in” and data “out.” They see the process of data conversion as cost effective and expect it to be easy. It’s not easy.
Data conversions are commonplace in healthcare today, especially with constant improvements and....
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....
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....
AHIMA Lends Expertise to ONC Patient Matching Initiative
Author: AHIMA Advocacy and Policy Team
Source: Journal of AHIMA
Publication Date: October 2015
The ability to securely and accurately match patients with their electronic health records (EHRs) across all health information exchanges (HIEs) remains a serious patient privacy, safety, and quality issue facing the HIM community. As many as eight to 14 percent of all health records incl....
Decade of Standardization: Data Integrity as a Foundation for Trustworthiness of Clinical Information
Author: Lusk, Katherine
Source: Journal of AHIMA
Publication Date: October 2015
For many years, health information management (HIM) professionals have been responsible for locating a complete patient record in a timely manner to provide a solid foundation for clinical decision making. When one healthcare system started noticing a high rate of duplicate records in thei....
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....
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 Quality Management Model (2015 Update) - Retired
Author: Davoudi, Sion; Dooling, Julie A; Glondys, Barbara; Jones, Theresa D.; Kadlec, Lesley; Overgaard, Shauna M; Ruben, Kerry; Wendicke, Annemarie
Source: AHIMA practice brief | Journal of AHIMA
Publication Date: October 2015
Editor’s Note: This Practice Brief supersedes the July 2012 “Data Quality Management Model (Updated),” the March 1998 “Checklist to Assess Data Quality Management Efforts,” and the June 1998 “Data Quality Management Model” Practice Briefs.
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 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....
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