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Transcription Beyond Transcription: Health IT allows transcriptionists to assist with CDI, other HIM functions

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....

Success with Speech Recognition

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....

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....

Speaking of That: Using Speech Recognition in Radiology

Author: Demorsky, Susan

Source: AHIMA Convention

Publication Date: October 31, 2006

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....

NLP and Text Mining: Their Role in the EHR

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


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....

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

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....

Medical Dictation: A New Generation

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....

Lessons Learned from Implementation of Voice Recognition for Documentation in the Military Electronic Health Record System

Author: Hoyt, Robert; Yoshihashi, Ann

Source: Perspectives in Health Information Management

Publication Date: January 2010


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....

Continuous Speech Recognition: What You Should Know

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....

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