College of Radiologists Voice Recognition What it should And can do For radiology.
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Transcript of College of Radiologists Voice Recognition What it should And can do For radiology.
![Page 1: College of Radiologists Voice Recognition What it should And can do For radiology.](https://reader035.fdocuments.in/reader035/viewer/2022062320/56649d015503460f949d3206/html5/thumbnails/1.jpg)
College of Radiologists
Voice RecognitionWhat it should
And can doFor radiology
![Page 2: College of Radiologists Voice Recognition What it should And can do For radiology.](https://reader035.fdocuments.in/reader035/viewer/2022062320/56649d015503460f949d3206/html5/thumbnails/2.jpg)
Introducing Myself
• Malcolm Grant
• GHG Software Developments Ltd
• Working with VR in radiology > 5 years
• Installed a number of NHS VR Systems
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What it Should Do
• Save time and money?
• Shorten turnaround times?
• Improve reporting quality?
• If possible deliver all 3 together!!!
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What it Can Do
• Save time and money
• Shorten turnaround times
• Improve reporting quality
• So why is it not in more universal use? ….
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Unwelcome Technology?
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Unwelcome Technology?
Stethoscope
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Unwelcome Technology?
Stethoscope
PC
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Unwelcome Technology?
Stethoscope
PC
PACS
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Unwelcome Technology?
Stethoscope
PC
PACS
Voice Recognition
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Cultural Change?
• Authors need RIS and VR knowledge– not just PACS – therefore learning curve
• Authors take full responsibility for Report– Second language speakers, mumblers– Full proof reading burden
• Appropriate workflows– Scanned request cards, barcodes, worklists
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Reputation?
• “I tied voice recognition bee 4 and it did not walk”
• This is not a demo day, but …
• The technology is proven to deliver
• What is needed to succeed?
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What is Needed
• High accuracy and fast editing
• Tight integration with RIS and PACS
• Network solution
• Good ergonomics
• 1:1 training
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What is NeededHigh accuracy and fast editing
• UK Radiology Vocabulary essential
• Speech Engine dependency is high– Near monopoly
• Voice friendly report box– Not evident in most RIS systems
• Can all be checked in a short demo
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What is NeededTight integration with RIS and PACS
• Authoring must be time-neutral– Benefits are not directly for the Author– RIS designed for typists, not authors– Measurement is for report + verification
• RIS overheads must be minimised– E.g. “No bony injury seen”, “Heart and lungs
are clear, no abnormalities of note”
• Drive must be easy to use– Simple accurate commands, fast drive
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What is NeededNetwork solution
• Speech engines designed for single users
• Radiologists need to move around
• Shortcuts need to be shared and individual
• Voice files need to be network managed
• Back-end recognition also required– E.g. Breast clinic
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What is NeededGood ergonomics
• Choice of Microphone– Accuracy, portability, durability, comfort
• Foot-pedal controls (mike control)– Needed to remove mike control issues
• Focus controls– Dictation, PACS RIS (mouse free)
• True hands-free use– Keyboard to be an option only
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What is Needed1:1 Training
• Trainer - Expert in VR– Every speaker is different– Broad experience needed
• Trainer – Conversant with RIS and PACS– Able to advise on best practice– Good experience in radiology
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Successful implementation
• Choose an experienced specialist vendor• Check recognition accuracy, speed, editing and
shortcut capabilities at the demo stage• Sign-off an integration specification
– Detail RIS and PACS issues– Test in a pilot (e.g. 4 users)
• Roll-out in stages with full training– 2 1:1 sessions with each author (approx 6 hrs/author)– Review management issues at each stage
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What VR Users Say
Consultant
Radiologists
& Registrars
Reporting
Radiographers
Sonographers Reluctant
users
Typist
Reductions
Norwich 40 2 0 12 50%
Truro 17 6 12 3 Yes
MK 4 7 0 2 50%
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What VR Users SayPreferred
Reporting
method
Accuracy
v
Expectation
Training Tight Integration
Turn back
Clock
Overall
OK
Norwich None Variable Essential Essential No Yes
Truro VR Better Essential Key No Yes
MK VR Better Most
Important
Very
Important
No Yes
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Users - Stated Benefits
• Faster turnaround
• Immediate verification
• Workflow improvements
• 24-7 working
• Encouragement to standardisation
• Improved user satisfaction
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My stated benefits
• Verification time saved (10%)
• Large savings in typing costs
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Users - Stated downsides
• Up to 50% slower reporting initially
• Users take up to 3 monthsto get up to speed
• Proof reading of long reports can be weak
• Minority of users do not succeed
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Conclusion
Voice Recognition
can and does do, what it should do
with considered implementation
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System Comparison
Reporting
Direct VRTape/Digital
Dictation
Typing
Correction
Verification
Verification
Shortened QBacklog
inTyping Q
No typing savingsNo Speed up
50% typing savingsSome Speed up
100% typing savingsImmediate availability