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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....

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....

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....

Dial T for Training: Work Force and the EHR

Author: AHIMA

Source: AHIMA Advantage

Publication Date: June 2006


What’s that sound? It could be your cell phone ringing…but it’s really a reminder to update your technology skills. Here’s the connection: Your cell phone may have the latest bells and whistles, but do you know how to use them? Likewise, are you a proficient user of the....

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....

Earning HIM Cred: the CHDA Credential

Author: Butler, Mary

Source: Journal of AHIMA - website

Publication Date: April 2015




As health information management (HIM) professionals find themselves constantly inundated with more data, they will need to update their skills to stay on top of it. And one of the best ways to do just that is by earning AHIMA’s Certified Health Data Analyst (CHDA) credential.

Enhancing Patient Care through Data Analysis

Author: Spencer, Gregory

Source: Journal of AHIMA

Publication Date: June 2010


Healthcare organizations, just like individuals, can suffer from information overload. Increasingly tasked with linking quality data to reimbursement parameters, providers now attempt to capture every piece of possible data.

The problem is that data collection has a price tag. Someti....

Giving Raw Data a Chance to Talk: A Demonstration of Exploratory Visual Analytics with a Pediatric Research Database Using Microsoft Live Labs Pivot to Promote Cohort Discovery, Research, and Quality Assessment

Author: Viangteeravat, Teeradache; Rao Nagisetty, Naga Satya V

Source: Perspectives in Health Information Management

Publication Date: January 2014


Abstract


Secondary use of large and open data sets provides researchers with an opportunity to address high-impact questions that would otherwise be prohibitively expensive and time consuming to study. Despite the availability of data, generating hypotheses from huge data sets i....

HIM Functions in Healthcare Quality and Patient Safety. Appendix C: HIM’s Role in Data Capture, Validation, and Maintenance

Author: AHIMA

Source: AHIMA practice brief attachment

Publication Date: August 2011


A critical component of AHIMA's draft HIM Core Model, a robust description of the functions and opportunities open to current and future HIM professionals, is capture and maintenance of health data.1 HIM professionals are encouraged to assume a leadership role in outlining how data are captured....

HIM’s Expanding Role in Clinical Data Analysis and Mapping

Author: Cook, Jane

Source: Journal of AHIMA

Publication Date: September 2012


As the healthcare community works to meet the requirements of the Centers for Medicare and Medicaid Services’ (CMS) “meaningful use” EHR incentive program and other initiatives, new opportunities are forming for the health information management (HIM) professional. Roles in both clinical data....

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,....

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....

Improving Patient Care Through Data Quality Management of Regulatory Reporting of Outcome Measures

Author: Panico, Mary; Hall, Debra; Berman, Regina; Siegel, Barbara

Source: AHIMA Convention

Publication Date: October 15, 2004

Introduction

In the fourth quarter of 2002, regulatory agencies began to align their initiatives driven by the National Quality Forum (NQF) evidenced-based measures, which drove the CMS 7 th Scope of Work. Project designs were to address morbidity and mortality of high-risk and high-vari....

Informatics Harnesses Healthcare’s Wild, Rich Data

Author: Wiedemann, Lou Ann

Source: Journal of AHIMA

Publication Date: October 2014



Healthcare has become a data-rich field, and any data rich environment requires the ability to analyze large, complex data sets. The field of informatics provides tools to integrate data, information, knowledge, and wisdom when processing data. Good informatics includes many functions, and....

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