Author: Burke, Lauralyn K; Brown, C. Perry; Johnson, Tammie M

Source: Perspectives in Health Information Management

Publication Date: October 2016

Abstract


Interrupted time-series analysis (ITSA) can be used to identify, quantify, and evaluate the magnitude and direction of an event on the basis of time-series data. This study evaluates the impact of the bioterrorist anthrax attacks (“Amerithrax”) on hospital inpatient disch....

Author: Lail, Pamela J; Laird, Sarah S; McCall, Kris; Naretto, Joe; York, April

Source: Perspectives in Health Information Management

Publication Date: October 2016

Abstract


This article examines the current state of affairs of the health information management role in facility closure as well as the impact on revenue cycle operations. Health information management professionals are uniquely positioned to assist an organization in closure eff....

Author: Lee, Wei-Chen; Veeranki, Sreenivas P; Serag, Hani; Eschbach, Karl; Smith, Kenneth D

Source: Perspectives in Health Information Management

Publication Date: October 2016

Abstract


Well-designed electronic health records (EHRs) must integrate a variety of accurate information to support efforts to improve quality of care, particularly equity-in-care initiatives. This case study provides insight into the challenges those initiatives may face in colle....

Author: Butler, Mary

Source: Journal of AHIMA

Publication Date: October 2016

Shawn Wells, RHIT, CHDA, manager of HIM data integrity at the University of Utah Healthcare, put himself on the health information management (HIM) career trajectory that HIM educators dream of using as an example.


Wells, who was also the first person in the state of Utah....

Author: Delahoussaye, Elizabeth A

Source: Journal of AHIMA

Publication Date: October 2016

Health information management (HIM) professionals can pull meaningful information from privacy and security breach data to evaluate release of information (ROI) processes, uncover workflow risks, and implement corrective measures. While large scale breaches impacting millions of patients m....

Author: Bradley, Paul

Source: Journal of AHIMA

Publication Date: October 2016

A year in and ICD-10 is almost approaching the point of old news.


Of course—I’m kidding! Nothing could be further from the truth. From a data analytics perspective, the impact of ICD-10 is only beginning to be realized and understood.


For one, this first year....

Author: Orlova, Anna

Source: Journal of AHIMA

Publication Date: October 2016

Data quality management has always been an area of focus for AHIMA. But the need for quality and integrity of data and information is greater than ever in all healthcare settings—especially with the growing adoption of health information technology (HIT), including electronic health....

Author: Wiedemann, Lou Ann

Source: AHIMA blog post | Journal of AHIMA - website

Publication Date: September 21, 2016

Big data. Data explosion. Predictive analytics. Population health. Data management. Chronic disease monitoring. Natural language processing. As though healthcare was not struggling enough to keep up with acronyms, synonyms, abbreviations, and poorly defined buzzwords, we have entered the e....

Author: Hedges, Ron

Source: AHIMA blog post | Journal of AHIMA - website

Publication Date: September 20, 2016

In my last post of 2015 I tried to predict what types of challenges health information management (HIM) professionals might have to deal with in 2016 and beyond. One prediction involved technological innovation, as I surmised that we could “expect to see more and more ‘apps’ being off....

Author: Washington, Lydia

Source: AHIMA blog post | Journal of AHIMA - website

Publication Date: September 08, 2016

As we talk with healthcare organizations around the country about information governance (IG), many tell us they have embarked on a data governance (DG) program. Most of these data governance programs seem to be emanating from the IT area and are driven by the need to improve data quality....