Application of digital technology in the work of a pathologist: guidelines for learning how to use speech recognition systems

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Abstract

Natural language processing is one of the branches of computational linguistics. It is a branch of computer science that includes algorithmic processing of speech and natural language scripts. The algorithms facilitate the development of human-to-machine translation and automatic speech recognition systems (ASRS). ASRS use is twofold: accurately converting operator’s speech into a coherent and meaningful text and using natural language for interaction with a computer. Currently, these systems are widely used in medical practice, including anatomic pathology. Successful ASRS implementation pivots on creation of standardized templated descriptions for organic inclusion in the diagnosis dictation, likewise – on physician training for using such systems in practice. In the past decade, there have been several attempts to standardize surgical pathology reports and create templates undertaken by physicians worldwide. After studying domestic and foreign literature, we created a list of the essential elements that must be included in the template for macro-and microscopic descriptions comprising the final diagnosis. These templates will help in decision-making and accurate diagnosis as they contain all the imperative elements in order of importance. This approach will significantly reduce the need for re-examination of both fixed macroscopic material and the preparation of additional histological sections. The templates built into ASRS reduce the time spent on documentation and significantly reduce the workload for pathologists. For the successful use of ASRS, we have developed an educational course, “Digital Speech Recognition in an Anatomical Pathology Practice”, for postgraduate education of both domestic and foreign doctors. A brief description of the course is presented in this article, and the course itself is available on the Internet.

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About the authors

Andrey I. Khramtsov

Ann & Robert H. Lurie Children’s Hospital of Chicago

Author for correspondence.
Email: duvip@yandex.ru

MD, PhD, Senior Researcher, Department of Pathology and Laboratory Medicine

United States, Chicago

Ruslan A. Nasyrov

Saint Petersburg State Pediatric Medical University of the Ministry of Healthcare of the Russian Federation

Email: ran.53@mail.ru

MD, PhD, Dr. Sci. (Med.), Professor, Head, Department of Anatomic Pathology and Forensic Medicine

Russian Federation, Saint Petersburg

Galina F. Khramtsova

The University of Chicago

Email: galina@uchicago.edu

MD, PhD, Senior Researcher, Department of Medicine, Section of Hematology and Oncology

United States, Chicago

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Supplementary files

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1. Fig. 1. General architecture of digital speech recognition systems

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2. Fig. 2. An example of work with Dragon Medical One software for dictation of gross description and histological diagnosis

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Copyright (c) 2021 Khramtsov A.I., Nasyrov R.A., Khramtsova G.F.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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