Speech Recognition Presentation (11-18-2005)

280 views

Published on

Published in: Technology, Health & Medicine
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
280
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
9
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Speech Recognition Presentation (11-18-2005)

  1. 1. Healthcare Information and Management Systems Society Bruce Fagerstrom President WahlTek, Inc. November 18, 2005
  2. 2. Iowa HIMSS  Key document challenges  To keep medical records current at lower costs  To efficiently manage an ever- increasing amount of information and documentation
  3. 3. Iowa HIMSS  You need medical documentation that is…  Accurate--QA  Complete—Event fully documented  Timely—Quicker turnaround  Exchangeable between different IT systems  Accessible whenever and wherever patient care is needed
  4. 4. Iowa HIMSS  Objectives of document automation  Reduce Provider time documenting  Improve availability of documentation  Improve quality and consistency of documentation  Decrease the cost of documentation
  5. 5. Iowa HIMSS  Most Facilities have not implemented voice recognition to address these issues because…  Accuracy was not at an acceptable level  Resistance from targeted Users— Radiology, ER, Pathology
  6. 6. Iowa HIMSS  VR IS real now!! WHY??  Providers can use familiar input options —call-in, digital handheld, or PC  More Medical vocabulary options—now 40 General and Specialty options  Much higher accuracy level  Better integration with HIS, RIS, EHR  MOST importantly---background option
  7. 7. Iowa HIMSS  VR is “real” now because of the background recognition option— Consider this specific example…
  8. 8. Iowa HIMSS  Radiology  Implemented to reduce turnaround time, transcription cost reduction, and referring Provider access  Pitfalls  Radiologist is LESS productive  Not all radiologists will comply  Large investment  Solution—background recognition
  9. 9. Iowa HIMSS  Background Recognition  Network-based--”roving” user concept  Multiple input options—call-in, digital handheld, PC  Route dictation through the recognizer and then to the editing staff  Transcription staff becomes EDITORS
  10. 10. Iowa HIMSS  Cost benefits of background VR  80% of Providers have acceptable accuracy level  Of those 80%--a 90-95% recognition rate is attainable  Transcription (editing) cost reduction— 30-40%  This is due to the need to listen to dictation
  11. 11. Iowa HIMSS  Let’s look at an example  Current transcription staff of 5-- $200,000 annual cost ($40,000/person)  30% cost reduction--$60,000  40% cost reduction--$80,000  Cost of VR software--$2000 per Provider OR ASP at .03/line
  12. 12. Iowa HIMSS  Additional Benefits  Most transcription departments have difficulty recruiting qualified staff  Less fatigue related to transcription  Reduced turnaround time  Much quicker report access—EHR
  13. 13. Iowa HIMSS  Additional Benefits  Higher document accuracy—the recognizer does a better job “understanding” the Provider  Implementation of templates or macros —standards of care  Reduced Provider training time
  14. 14. BACKGROUND RECOGNITION WORKFLOW Call-in Digital Handheld PC Dictate Dictation System Recognition Server Text Server EHR/HIS Server Transcription PCs Transcription Access PCs

×