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: Orlova, Anna

Source: Journal of AHIMA

Publication Date: September 2015

Medical informatics is a field formalized in the 1990s with the rise of the adoption of information technology in healthcare including electronic health records systems (EHRs), laboratory information management systems (LIMS), radiology systems, and other health information technology (HIT....

Author: Easterling, Sharon

Source: CodeWrite | AHIMA newsletter article

Publication Date: September 2015

With the implementation of the Value-Based Purchasing Model (VBP) and, more recently, statements in the Sustainable Growth Rate (SGR) fix, it remains clear that healthcare is going through a time of change. We must recognize risk in not only patient health management and outcomes, bu....

Author: Overgaard, Shauna M; Dooling, Julie A

Source: AHIMA blog post | Journal of AHIMA - website

Publication Date: August 27, 2015

Healthcare payments are shifting and the industry is in a rapid state of change. Efficiencies to render patient care as a top priority are crucial. Measuring brings efficiencies and meaning to a patient population.

High-Level Measurements


Population-based statistics....

Author: Head, Erin

Source: Journal of AHIMA

Publication Date: August 2015

For many decades, health information management (HIM) departments have been the hub for information collected within healthcare organizations. HIM has frequently been referred to as the “medical records department” due to the perceived idea that the department’s main tasks are receiving a....

Author: Becevic, Mirna; Clarke, Martina A; Alnijoumi, Mohammed M; Sohal, Harjyot S; Boren, Suzanne A; Kim, Min S; Mutrux, Rachel

Source: Perspectives in Health Information Management

Publication Date: July 2015

Abstract


Background: Robotic telepresence has been used for outsourcing of healthcare services for more than a decade; however, its use within an academic medical department is not yet widespread. Intensive care unit (ICU) robots can be used to increase access to off-site supervis....

Author: AHIMA Staff

Source: Journal of AHIMA

Publication Date: July 2015

It is the matchup of the century—the towering hulk of healthcare’s Big Data versus the super computer known as Watson. Will Watson be able to take on this lumbering, untamed mass of information and whip it into submission?


One year ago, the Journal of AHIMA reported on the IBM su....

Author: Dolezel, Diane

Source: Journal of AHIMA

Publication Date: May 2015

The digital era of Big Data has generated a growing need for more electronic health information management (e-HIM) professionals who can assume the emerging role of data analyst.1 This new role requires learning how to analyze data and perform statistical calculations to support informed d....

Author: Butler, Mary

Source: Journal of AHIMA

Publication Date: May 2015

Watch and learn. For clinical informaticist Nathan Patrick Taylor, MPH, MS, CHDA, and others like him, watching patient-physician encounters and learning from them is just as important as knowing how to query data in a health IT system. Because as technical as informatics can get, at its....