Evaluating a voice recognition system: finding the right product for your department

Area of Science:

• Radiology Informatics
• Medical Technology Adoption
• Health Information Systems

Background:

• The University of Utah Health Sciences Center's Radiology Department is transitioning from film-based to digital imaging.
• A key step in this digital transformation involves moving from traditional dictation to voice recognition systems.
• Full digital integration requires seamless interfacing between dictation and image review processes.

Purpose of the Study:

• To introduce the methods used to evaluate voice recognition vendors and products for a radiology department.
• To provide a comprehensive checklist to assist other departments in their voice recognition system evaluation process.
• To detail the criteria used in the evaluation to streamline the purchasing decision for similar ventures.

Main Methods:

• Evaluation criteria were categorized into user operations, technical infrastructure, medical dictionary, system interfaces, service support, cost, and company strength.
• A systematic approach was employed to assess available voice recognition products and vendors.
• The study discusses the vendor and product evaluation methodology adopted by the department.

Main Results:

• The evaluation process identified key factors for selecting a voice recognition system tailored to radiology needs.
• A detailed checklist was developed to guide other institutions through a similar procurement process.
• The findings aim to shorten the time and effort required for voice recognition system acquisition.

Conclusions:

• Voice recognition technology is crucial for an efficient digital radiology department.
• A structured evaluation method is essential for selecting the most suitable voice recognition system.
• The presented framework and checklist can be adapted for evaluating other health IT products.