Automating and Enhancing Processes through Voice in Desktop and Back Office Environments (Strategic Focus)

Table of Contents

• Overview
  • Catalyst
  • Summary
• Key Messages
  • The accuracy of speech recognition has improved dramatically over the last few years
  • Speech recognition adoption is being driven by the increased use of digital dictation
  • The healthcare industry presents the greatest opportunity for vendors
  • Nuance and Philips are approaching the market with different strategies
  • Speech recognition products are being sold directly, by resellers and technology partners
• Table of Contents
• Table of figures
• Table of tables
• Market Opportunity
  • PC- and server-based speech recognition defined
    • Speech recognition rates have improved in the last five years
    • ' Front-end' and ' back-end' speech recognition
    • Speech recognition has found its niche in the healthcare and legal markets
  • Market drivers
    • The increased use of digital dictation systems is helping drive greater adoption of speech recognition
    • Automation of processes and cost pressure in the healthcare industry
  • Market challenges
    • Poor accuracy and disappointing deployments in the past make users hesitant to adopt
    • Moving technology out of niche environments will be difficult for vendors
      • The slow roll-out of electronic health records and digitization of systems
  • Market size and trends
    • There is a greater acceptance of speech recognition
    • A larger proportion of the market revenue is from services because support and training are essential
• Customer Impact: Key industry focus
  • Healthcare is the largest market for speech recognition
    • Restricted budgets and the need to create accurate patient records make healthcare an ideal market
    • Speech recognition provides clear benefits to processes in radiology and pathology
    • When implemented with an EHR system, speech recognition can speed up the process
    • Critical test results and patient safety are also driving adoption
  • There is a growing demand for customers with disabilities
  • Adoption of speech recognition is gaining traction in the professional services industry
  • Adoption in other industries will be limited
  • End-user pain points with implementing and using speech recognition systems
    • Speech recognition systems can help alleviate pressure on staff but cost remains a primary issue
      • Specialized vocabularies and training needs mean that speech recognition is limited to certain roles
      • Background noise and confidentiality make speech recognition unsuitable for a number of employees
  • When to invest: ROI model
• Competitive Landscape
  • Nuance
    • Strengths and Opportunities
    • Weaknesses and Threats
  • Philips
    • Strengths and Opportunities
    • Weaknesses and threats
  • Niche vendors (in alphabetical order)
    • eScription & Spheris
    • IBM
    • MacSpeech
    • Microsoft
    • RedStart Systems
  • Speech recognition for language learning (vendors in alphabetical order)
    • Carnegie speech
    • Lingvosoft
    • RosettaStone
    • Soliloquy Learning
• Go to Market
  • Healthcare: Direct sales or through medical integration partners
  • Consumer: Retailers and e-tailers
  • Professional Services: Digital Dictation
  • Future Trends
    • Speech recognition will become more embedded within document workflow and automation solutions
  • Recommendations
    • Vendors need to provide a clear marketing message
    • Vendors should work more closely with EHR vendors as this market represents a good opportunity
    • There is room for product improvements in the consumer market
• APPENDIX
  • Definitions
  • Methodology
  • Further reading
  • Ask the analyst
  • Datamonitor consulting
  • Disclaimer
  • List of Tables
    • Table 1: The market size for PC and server-based speech recognition
  • List of Figures
    • Figure 1: An example of the use of front-end speech recognition for a physician to dictate an EHR
    • Figure 2: The process for server side speech recognition is longer but reduces pressure on the dictator
    • Figure 3: Growth in PC- and server-based speech recognition will be steady over the next six years
    • Figure 4: Leading speech recognition vendors and their areas of coverage
    • Figure 5: Speech recognition applications and their uses
    • Figure 6: SWOT Analysis: Nuance
    • Figure 7: SWOT Analysis: Philips
    • Figure 8: Speech recognition channels in the healthcare industry
    • Figure 9: Speech recognition channels in the legal industry