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....

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....

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....

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....

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....

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....

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....

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.

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....

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....