Speech Recognition Software Offers Productivity Boost Via Efficiencies To Workflow At PoC
The technologies and industry standard practices in the healthcare field have been making rapid advancements and people have come to rely on the methodology and technologies used by healthcare providers to perform the near impossible. While there may be no such thing as a miracle cure, there are plenty of healthcare providers out there who are providing higher than ever levels of quality care through technologies which are nothing short of miraculous. These innovations include speech recognition software, which helps healthcare professionals to work more efficiently and to ensure quicker and more accurate access to patient records and other medical information.
Speech recognition software has been in use for some time in certain types of medical care, such as radiology; where this software has streamlines the reporting process. This technology is being increasingly common across the healthcare industry, where it is helping more efficient record keeping at the point of care. This enables a more streamline work flow within healthcare facilities and a higher level of patient care.
Speech Recognition Software
Speech recognition technology first became available in the early 1980s; albeit in a far too rudimentary form to be useful in the healthcare industry. However, it has now progressed to the point where speech recognition software can be found which recognizes as many as 20,000 words.
How Speech Recognition Software Works
Traditionally, doctors have spoken into a Dictaphone or tape recorder, with these notes later being transcribed and entered into their medical records.
However, speech recognition software allows physicians to transcribe their words into text in real time, with these then being editable immediately for much quicker updating of patient records. Direct speech-enabled transcription software streamlines workflow by letting the physician input their recorded notes into their EMR system.
Speech recognition software helps create and update patient records in their EMR right from the point of care to ensure speed and accuracy.
Speech recognition software not only assists healthcare professionals in providing more efficient and higher quality care, but also can make patients better informed and more engaged in their own care.
The Economics of Speech Recognition Software in the Healthcare Industry
The healthcare industry spends $10 billion to $15 billion per year on medical transcription, with the average physician’s practice spending somewhere between $6,000 and $10,000 each year. Implementing speech recognition software can dramatically reduce or even eliminate these costs altogether.
Speech recognition software can save physicians 50% or more of transcription costs, with the software paying for itself in less than six months, even after accounting for the expenses of training and support.
This is a technology which is becoming increasingly well supported by vendors: Nuance’s Dragon Naturally Speaking Medical software offers a library of 14 medical-specialty vocabularies, along with the necessary tools to add practice-specific vocabulary.
The Dragon Naturally Speaking software can dramatically increase workflow for practices which already use an EMR system as well as those practices which have not yet made this transition, with the speech recognition software producing easy to work with MS Word format documents. While around 20% of practices already use EMR software, even those which do not can save untold hours of labor through the use of speech recognition software.
Traditional Dictation for Patient Data (a seven-step process)
1. Physician Input
2. Use of Speech Recording Device
3. Transcription Services
4. Physician Review of Transcript
5. Edit and Correction Cycle
7. Enter Final Data into System or Paper Files
Voice Recognition Technology Use for Patient Data (a four-step process)
1. Physician Input
2. Use of Speech-Enabled Software
3. Physician Self Edit
4. Enter Final Data into System or EMR
Voice recognition software reduces workflow by three steps, reducing transcription costs while increasing productivity.