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The medical appointment scheduler.

In order to enhance our understanding of how to best improve patient care, it was necessary to initially identify key questions that patients ask most frequently by recording actual calls made by home hemodialysis patients to a dialysis clinic over a three-month period. From an initial analysis of the recorded conversations, one of the most frequent reasons for patient calls was for scheduling concerns. Since the use of automated systems often enable a quicker response to patients' needs and alleviate time demands on the personnel that have to answer these calls, an automated scheduling system was designed and implemented to address this concern. The SCHEDULER is a mixed-initiative spoken dialogue system that allows a patient to schedule an appointment with a provider over the telephone. The system was implemented using SPEECHBUILDER, a utility developed by the Spoken Language System group at M.I.T. that helps automatically configure human language technology servers to create a new conversational system. We describe the system architecture, general considerations in the design, and a preliminary evaluation of the system.

Appointments and Schedules↗

Perspectives on speech recognition technology.

Speech recognition technology is used in all sorts of applications. However, for radiology, the issues are more complex than merely being able to dial a contact from an address book. In addition, radiologists have been hesitant to embrace the technology, with some preferring the status quo. Speech recognition technology has dramatically improved over the past several years, and they generally have been broadly commercialized. However, the use of speech recognition for composition of text reports or email has had only limited acceptance. The overriding reasons appear to be that most computer users prefer not to talk to their computers. They have learned to compose text documents via a "type-and-organize" methodology rather than composing the document "in their heads" and dictating. Radiologists are still required to dictate their reports, whether it is digitally, into an analog tape recording device or via a speech recognition system. The benefits extend to the radiologist's patients, and to the radiologist's employers--the hospitals or imaging centers--but it could be said that there is little direct benefit for the radiologist There is a belief that systems should focus more on improving radiologist efficiency rather than emphasizing cost savings and turnaround time. Integration with existing systems is critical. But any technology, in order for it to be well accepted by the primary user, needs to benefit that user. Before selecting any speech recognition technology a radiology administrator should do some research and find answers to several questions that address the basics of speech recognition technology and the companies that provide this technology. In addition, the radiology administrator must ensure that the facility is prepared to implement the technology and address any workflow- or culture-related issues that may arise. There are a number of opportunities for improvement in speech recognition radiology applications. These include the ongoing need for improvement recognition rates, the need to streamline integration with picture archiving and communication system (PACS) and radiology information system (RIS) technologies, and the general need to improve the user interface. In addition to these improvements, one can expect an increased adoption of structured reporting technologies within radiology. These techniques allow easier automated extraction of content and more flexible communication and organization of data (such as communication to electronic medical record systems).

Diffusion of Innovation↗

It's a Wi-Fi world.

Health care CIOs identify which technologies will emerge as the most important during the next three to five years.

Computer Communication Networks↗

[Continuous speech recognition system for radiological reporting: comparison with experience of dictation].

PURPOSE: To compare rates of accuracy of recognition between experienced dictators and inexperienced ones in using an enrollment-less continuous speech recognition (CSR) system of radiological reporting, and to evaluate the usefulness of the system. MATERIALS AND METHODS: Twenty board-certified radiologists were classified into 2 groups: a group of 10 members with more than 6 years' experience of conventional dictation by transcriptionist (group A) and a group of 10 members with no experience of dictation (group B). All radiologists created fresh radiological reports on sets of images using free-style dictation in the reports. We counted errors and total words in the reports individually, and compared the rates of accuracy of word recognition in the two groups. We used a CSR system AmiVoice (Advanced Media, Inc., Tokyo, Japan). RESULTS: The average rate of accuracy of word recognition was 96.42 +/- 1.68% in group A and 95.92 +/- 1.15% in group B. There was no significant difference in accuracy rate between the two groups. CONCLUSION: The accuracy of word recognition was independent of the experience of dictation, and the enrollment-less CSR system of radiological reporting was considered convenient and useful.

Humans↗