30 results.
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Tomorrow's Transcription Tools: What New Technology Means for Healthcare
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 Journals 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....
If You Say It, It Will Be So: Advances in Speech Recognition Technology
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....
Putting it All Together: Shands Healthcare Improves Transcription Productivity with a Global Platform and ASR
Author: Starling, Lee; Rollins, Pam
Source: AHIMA Today
Publication Date: October 13, 2008
How Can I Use Speech Recognition to Benefit My Organization?
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....
Ambulatory Payment Classification System Challenges Drive Coding Technology Changes
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....
Speech Recognition Propels Transcription Revolution
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....
Analysis of the Implementation and Impact of Speech-Recognition Technology in the Healthcare Sector
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....
Generating Discharge Summaries in the MIS and Using Speech Recognition Software
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....
Better and Faster: New Systems Make Report Processing Easier
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....
Natural Language Processing Technology and Terminologies: Mining Free Text
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....
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