Author: AHIMA and MTIA Joint Task Force on Standards Development

Source: Perspectives in Health Information Management | AHIMA report

Publication Date: July 2008

This white paper discusses the current state of the industry relative to turn-around time for selected work types, and how changes may impact operational efficiency, enrich data capture, further empower clinical decision making, and enhance patient care.

Author: Carnrite, Michael; Sumner, Susan

Source: Journal of AHIMA

Publication Date: October 2012

For decades Medical transcription has been an important fixture of the health information management (HIM) department. Compiling, managing, and retaining transcribed documents as a subset of the entire patient medical record is a foundational role for HIM professionals. And while the electron....

Author: Weber, Joe

Source: Journal of AHIMA

Publication Date: March 2003

What does the future hold for the transcription industry? In the third installment of the Journal’s series on transcription, take a look at the new technology aimed at boosting productivity, improving accuracy, and, in some cases, asking physicians for direct information input.
The y....

Author: Clawson, Cathy

Source: AHIMA Convention

Publication Date: September 28, 2010

Introduction: Since Mountain States Health Alliance implemented the Dolbey Speech Recognition platform in October 2007; gains in productivity, decrease in outsourcing, and financial savings have confirmed the successful implementation of this technology.
Background/History: Mountain Sta....

Author: Dolphin, Peter J.

Source: In Confidence (newsletter)

Publication Date: September 02, 2003

Clinician dictation remains a key component of data gathering for the patient record.While this is no surprise to many, dictation’s usage was widely predicted to decline as healthcare delivery organizations implemented computerized electronic health records (EHRs). The reality is that the quan....

Author: Schwager, Rob

Source: Journal of AHIMA

Publication Date: October 2000

Speech recognition technology continues to develop. Now, with additional enhancements, the latest models offer solutions for entire enterprises. The author rounds up the latest developments.
Most healthcare organizations and clinicians today have automated some portion of their health in....

Author: AHIMA Task Force

Source: AHIMA Task Force

Publication Date: October 20, 2003

This practice brief has been updated. See the latest version here. This version is made available for historical purposes only.

Author: AHIMA Task Force

Source: AHIMA Task Force

Publication Date: October 20, 2003

This practice brief has been updated. See the latest version here. This version is made available for historical purposes only.

Author: AHIMA Task Force

Source: AHIMA Task Force

Publication Date: October 20, 2003

This practice brief has been updated. See the latest version here. This version is made available for historical purposes only.

Author: AHIMA

Source: AHIMA practice brief | Journal of AHIMA

Publication Date: September 2013

Introduction


Many technologies exist to assist with better clinical documentation and speech recognition technology (SRT) is one solution. Since SRT uses mathematic probabilities, the technology can be complicated. The goals of its use in healthcare today, however, are clear: Increase....

Author: AHIMA Task Force

Source: AHIMA Task Force

Publication Date: October 2003

This practice brief has been updated. See the latest version here. This version is made available for historical purposes only.

Author: AHIMA Task Force

Source: AHIMA practice brief

Publication Date: October 2003

This practice brief has been updated. See the latest version here. This version is made available for historical purposes only.

Author: Demorsky, Susan

Source: AHIMA Convention

Publication Date: October 31, 2006

Background
For decades the HIM profession has been aware of the evolving technology of speech recognition. Viewed as experimental, its use was limited to cutting edge physicians and medical centers. Its use was driven more from curiosity than practicality. Physicians would convince hospital ad....

Author: Starling, Lee; Rollins, Pam

Source: AHIMA Today

Publication Date: October 13, 2008

Author: Jagannathan, V.; Heinze, Daniel T.; Naeymi-Rad, Frank; Flanagan, James R.; Bowie, Jack; Kapit, Andrew; van Terheyden, Nick

Source: AHIMA Convention

Publication Date: October 31, 2006

Introduction

The national spotlight is on the cost and questionable quality of healthcare and the numerous ways electronic health records will improve both. There is, therefore, increasing pressure to make this an industry-wide reality within just a few short years. As good corporate cit....

Author: Jagannathan, V.; Heinze, Daniel T.; Naeymi-Rad, Frank; Flanagan, James R.; Bowie, Jack; Kivatinetz, Raul

Source: AHIMA Convention

Publication Date: October 21, 2005

Introduction
The dictation and transcription process is one of the most widely used ways of documenting clinical content. This session brings leading vendors with NLP and terminology solutions to discuss their approach and technologies in support of data mining of free text. The applications t....

Author: Groner, Gabriel F.

Source: Journal of AHIMA

Publication Date: June 1999

As the term implies, automatic speech recognition is a computer's recognition of speech, automatically converting it into readable text and interpretable commands. To fully understand automatic speech recognition, one must first be aware of the distinction between speech recognition an....

Author: Hoyt, Robert; Yoshihashi, Ann

Source: Perspectives in Health Information Management

Publication Date: January 2010

Abstract


This study evaluated the implementation of voice recognition (VR) for documenting outpatient encounters in the electronic health record (EHR) system at a military hospital and its 12 outlying clinics. Seventy-five clinicians volunteered to use VR, and 64 (85 percent) resp....

Author: Derynck, Arleen; Olevson, Pat; Owen, Betsy

Source: AHIMA Convention

Publication Date: September 23, 2002

Author: van Terheyden, Nick; Doyle, Karen

Source: AHIMA Convention

Publication Date: October 15, 2004

Presentation Overview

The aim of this article is to provide an overall understanding of Speech Recognition technology with examples of how it relates to healthcare. First, we will look at the history of speech recognition and provide a description of speech recognition technology and its....

Author: Spring, Christopher

Source: AHIMA Convention

Publication Date: October 10, 2007

Background

Speech recognition is definitely a hot topic in the information management market. The problem is that no one really understands it. The purpose of this presentation is to educate health information management professionals on the benefits that the use of speech recognition ca....

Author: Loos, Markus

Source: IFHRO Congress | AHIMA Convention

Publication Date: October 15, 2004

Introduction

The Charité--University of Medicine Berlin, is the largest hospital in Europe. Its four campuses have about 2,300 beds. The 9,384 employees care for about 100,000 inpatients and about 250,000 ambulatory patients per year. Approximately 4,900 students are instructed in....

Author: Charest, Todd; Kosegi, Lynn

Source: AHIMA Convention

Publication Date: October 31, 2006

Determine if Speech Recognition Technology Is Right for You
Todd Charest, MBA, and Lynn Kosegi, PMP The Question
Is speech recognition technology right for your organization?
Speech recognition (SR) has the potential to increase the productivity of both physicians and medical transc....

Author: Fallati, Donald T.

Source: Journal of AHIMA

Publication Date: April 2006

Speech recognition has moved beyond the experimental early-adopter stage, and while it has a way to go before it becomes truly widespread, the technology is actively deployed in hundreds of healthcare institutions. Adopters span the spectrum of inpatient and outpatient facilities, academic and....

Author: Clark, Holly

Source: Journal of AHIMA

Publication Date: October 1998

Is speech recognition a futuristic dream, an emerging technology, or a current reality? How vital is speech input to a computerized patient record strategy? How can you influence your organization to investigate speech recognition options that best meet its needs? There are no simple answers t....

Author: Krautwald, Peter

Source: Journal of AHIMA

Publication Date: October 2001

Voice recognition, electronic signature, combined system interfaces-the future is now in many HIM departments. In this article, the author focuses on the use of advanced report processing technologies in HIM departments and how they are changing the way we work.
Technology and....

Author: Embke, James; Fallati, Donald T.

Source: AHIMA Convention

Publication Date: September 23, 2002

Author: Parente, Ronaldo; Kock, Ned; Sonsini, John

Source: Perspectives in Health Information Management

Publication Date: June 2004

This research was sponsored by a grant from the American Health Information Management Association (AHIMA) Foundation of Research and Education (FORE).
Abstract

This paper develops a conceptual framework and offers research propositions for understanding the adoption of....

Author: Servais, Cheryl

Source: IFHRO Congress | AHIMA Convention

Publication Date: October 15, 2004

The outpatient prospective payment system, implemented in August 2000, introduced two significant challenges to those responsible for gathering the codes necessary to determine the expected payment for services. The challenges are:
(1) How to bring all the CPT-4 codes together in one fil....

Author: Dooling, Julie A

Source: Journal of AHIMA

Publication Date: July 2012

For many years transcription and coding departments have been two separate and independent structures within health information management (HIM).


While these areas have always been interdependent regarding their need to share documentation, their technology platforms have op....