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....

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....

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....

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: Washington, Lydia

Source: AHIMA blog post | Journal of AHIMA - website

Publication Date: November 12, 2015

Data governance is a hot topic these days, as healthcare organizations begin to realize that the analytics capabilities that are necessary for new care and payment models are not feasible without some sort of unified and consistent enterprise approach to data management. Building an effect....

Author: Kadlec, Lesley

Source: AHIMA blog post | Journal of AHIMA - website

Publication Date: December 18, 2015

If you are reading this blog post, you have probably already figured out that data analytics is complex. Understanding data analytics is like the proverbial peeling back of the onion skin, the more layers you take off, the more layers you find underneath.


In today’s healthcar....

Author: Cange, John R

Source: Journal of AHIMA

Publication Date: January 2016

To prevent a problem, however, requires that you understand the potential causes of the problem—and this understanding requires data. A complete understanding requires a complete dataset. In the case of HAIs, the ideal dataset would contain data concerning every type of HAI from ever....

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....

Author: Taylor, Nathan Patrick

Source: AHIMA blog post | Journal of AHIMA - website

Publication Date: January 25, 2016

If you are new to healthcare analytics, it can be quite expensive to get up and running with a statistical application. Between the cost of the software itself and the instructional courses—not to mention your investment of time—just getting started could run several thousand dollars. Than....