It is a nice discussion that I came across and I thought I should share it with all the readers of this blog.
http://www.ihealthbeat.org/features/2011/nine-experts-weigh-in-on-2011-health-it-progress-hopes-for-2012.aspx
It is a nice discussion that I came across and I thought I should share it with all the readers of this blog.
http://www.ihealthbeat.org/features/2011/nine-experts-weigh-in-on-2011-health-it-progress-hopes-for-2012.aspx
Here is an excellent news item that captures the essence of using speech recognition technology by radiologists. Speech technology does not offer a silver bullet and it comes with many caveats. Interesting read..
http://www.healthcareitnews.com/news/5-tips-speech-recognition-software-rsna
Ten years back speech recognition was anticipated to change the transcription business from hear and type to read and edit. It excited a lot of people and raised expectations of every one. Ten years later we are still anticipating for that change to happen. What when wrong? Speech recognition did not turn out to be the magic bullet that we all expected it to be.
However it did produce significant results in certain areas. Radiology transcription is a case in point. Recent survey conducted by Digital Imaging shows that 80% of the respondents use voice recognition technology but 30% expressed dissatisfaction with the results. Radiology reports, more often than not, are short and the same content is repeated across documents. Radiologists can train themselves in using the speech recognition technology in the front end and also create normals and ‘call’ these normals while dictating. This makes the job significantly easier and does not take too much of the radiologists’ time . Hence you see that the adoption rates for speech recognition technology in radiology space is much higher than in other places.
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Electronic Health Records implementations are forcing rapid changes in the Health Information Management departments. The role of HIM in an EHR environment is getting redefined inside out. Traditional roles within the HIM departments are getting rapidly transformed. e-HIM departments are realizing the needs for roles of HIM Data Analysts, Clinical Data Integrity Specialists, Health Information Exchange coordinators etc. Existing HIM roles could become obsolete if current staff do not foresee these changes and quickly upgrade their skills to match these changing environments.
In an era where clinical documentation is generated and maintained in an ‘episode’ nature, EHRs pose significant challenges especially when you have to share the data. EHRs maintain data in a ‘continuous’ care mode and therefore it becomes challenging to decide from which data point should you share the information to other stake holders in the care domain. Challenges also emanate from the gradual shift towards ‘charge for care’ rather than ‘charge for service’ model.
Contrary to conventional thinking, the advent of EHRs has actually brought the entire clinical documentation area into the front and center of patient care.