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Watson vs. Big Data

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....

Owning the EHR and Information Governance at Your Facility

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....

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....

Making Health Data Elegant

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....

Are You a Data Analyst and Don’t Know It?

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....

Digital Family History Data Mining with Neural Networks: A Pilot Study

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....

HIM's Role in Health Data Analysis

Author: Kadlec, Lesley

Source: Journal of AHIMA

Publication Date: June 2016



In today’s healthcare environment, data abounds. From the time of admission through the patient care episode, discharge, and aftercare, the volume of clinical data in healthcare continues to grow and expand. Regardless of whether the data results from a patient office visit, the lab,....

Unlocking the Benefits of ICD-10 through Data Analytics

Author: Ewing, Crystal

Source: Journal of AHIMA

Publication Date: June 2016



The reality of the ICD-10-CM/PCS implementation and the fact that it was, by all measures, a success, is the payoff of years of hard work. It’s the product of lessons learned from the implementation of 5010 and the outcome of diligence on the part of healthcare professionals, providers, a....

Utilizing Open-Source Government Data Sets in Health Information Management Teaching: An Application in Statistics and Data Analytics

Author: Alakrawi, Zahraa M; Watzlaf, Valerie J.M.; Aborde, Jon; Johnson, Carey; Johnson, Timothy

Source: Educational Perspectives in Health Informatics and Information Management

Publication Date: July 2016


Abstract


The American Health Information Management Association (AHIMA) Council for Excellence in Education acknowledges the importance of improving the data analytics skills of health information management (HIM) students at the baccalaureate level. This importance is especially....

How to Break Into Analytics and Informatics

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....

Tying Together CDI, ICD-10, and Healthcare Data Analytics: How CDI Programs and ICD-10 Are Impacting Data Analytics—and The Benefits Healthcare Organizations Are Seeing

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....

Applying Predictive Analytics: The Role of Artificial Neural Networks in Predicting Alzheimer’s Disease

Author: Monga, Kapila

Source: Journal of AHIMA - website

Publication Date: December 22, 2016



The phrase “Longevity Revolution,” referring to the increase in human life expectancy by 30 years, isn’t new anymore. Various books have been written on this subject, and it is a widely discussed topic in conferences these days. It is a no-brainer that this increase in life expectancy warr....

Becoming a Data Master

Author: Eramo, Lisa A

Source: Journal of AHIMA

Publication Date: March 2017



As an independent contractor and data analytics subject matter expert (SME), Lisa Brooks Taylor, RHIA, spends most of her time working with professional associations and large insurers developing machine-computable algorithms to analyze healthcare data. She works closely with data scientis....

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