Computer-aided detection tool development for teaching chest radiograph pattern recognition to undergraduate radiography students: A context needs and capability analysis
Background: Medical imaging (MI) education has experienced a shift aligned with the advances in technology and the role played by radiographers in pattern recognition. This has led to increased use of technology-enhanced teaching and simulated learning approaches (e.g. computer-aided detection [CAD]...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | Afrikaans |
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AOSIS
2019-10-01
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| Series: | Health SA Gesondheid: Journal of Interdisciplinary Health Sciences |
| Subjects: | |
| Online Access: | https://hsag.co.za/index.php/hsag/article/view/1322 |
| _version_ | 1811259214367031296 |
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| author | Sibusiso Mdletshe Andre L. Nel Louise Rainford Heather A. Lawrence |
| author_facet | Sibusiso Mdletshe Andre L. Nel Louise Rainford Heather A. Lawrence |
| author_sort | Sibusiso Mdletshe |
| collection | DOAJ |
| description | Background: Medical imaging (MI) education has experienced a shift aligned with the advances in technology and the role played by radiographers in pattern recognition. This has led to increased use of technology-enhanced teaching and simulated learning approaches (e.g. computer-aided detection [CAD] tools) which also support the increasing requirement to develop pattern-recognition skills at undergraduate level. However, the development of these approaches need to be explored and planned carefully to be context-relevant.
Aim: The aim of this study was to explore and describe the need for and capability of a CAD tool for teaching chest radiography pattern recognition in an undergraduate radiography programme.
Setting: The setting was a university that offers MI education.
Method: The study employed a qualitative descriptive design with an interpretive research paradigm. Purposive sampling was used to recruit information-rich participants for a focus group interview. Information-rich participants were considered to be those who were involved in teaching clinical skills, such as those required in pattern recognition, to radiography students. Data were transcribed verbatim and analysed in a step-by-step approach.
Results: Three main themes emerged: (1) a structured approach to enhance implicit skills is critical in the CAD tool design; (2) an authentic tool which is able to simulate real-world experiences in image analysis is essential; and (3) a tool which encourages self-directed learning using a wide variety of pathological conditions would be ideal.
Conclusion: The results of this study are essential in guiding radiography educators in designing CAD tools for teaching chest radiography pattern recognition. |
| first_indexed | 2024-04-12T18:27:10Z |
| format | Article |
| id | doaj.art-380bfbc52eca4b5e91f9f978532bc3fb |
| institution | Directory Open Access Journal |
| issn | 1025-9848 2071-9736 |
| language | Afrikaans |
| last_indexed | 2024-04-12T18:27:10Z |
| publishDate | 2019-10-01 |
| publisher | AOSIS |
| record_format | Article |
| series | Health SA Gesondheid: Journal of Interdisciplinary Health Sciences |
| spelling | doaj.art-380bfbc52eca4b5e91f9f978532bc3fb2022-12-22T03:21:12ZafrAOSISHealth SA Gesondheid: Journal of Interdisciplinary Health Sciences1025-98482071-97362019-10-01240e1e710.4102/hsag.v24i0.1322768Computer-aided detection tool development for teaching chest radiograph pattern recognition to undergraduate radiography students: A context needs and capability analysisSibusiso Mdletshe0Andre L. Nel1Louise Rainford2Heather A. Lawrence3Department of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Johannesburg, JohannesburgDepartment of Mechanical Engineering Science, Faculty of Engineering and the Built Environment, University of Johannesburg, JohannesburgSchool of Medicine, Faculty of Health Sciences, University College Dublin, DublinDepartment of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, University of Johannesburg, JohannesburgBackground: Medical imaging (MI) education has experienced a shift aligned with the advances in technology and the role played by radiographers in pattern recognition. This has led to increased use of technology-enhanced teaching and simulated learning approaches (e.g. computer-aided detection [CAD] tools) which also support the increasing requirement to develop pattern-recognition skills at undergraduate level. However, the development of these approaches need to be explored and planned carefully to be context-relevant. Aim: The aim of this study was to explore and describe the need for and capability of a CAD tool for teaching chest radiography pattern recognition in an undergraduate radiography programme. Setting: The setting was a university that offers MI education. Method: The study employed a qualitative descriptive design with an interpretive research paradigm. Purposive sampling was used to recruit information-rich participants for a focus group interview. Information-rich participants were considered to be those who were involved in teaching clinical skills, such as those required in pattern recognition, to radiography students. Data were transcribed verbatim and analysed in a step-by-step approach. Results: Three main themes emerged: (1) a structured approach to enhance implicit skills is critical in the CAD tool design; (2) an authentic tool which is able to simulate real-world experiences in image analysis is essential; and (3) a tool which encourages self-directed learning using a wide variety of pathological conditions would be ideal. Conclusion: The results of this study are essential in guiding radiography educators in designing CAD tools for teaching chest radiography pattern recognition.https://hsag.co.za/index.php/hsag/article/view/1322computer-aided instructionimplicit skillspattern recognitionchest radiographysimulated learning |
| spellingShingle | Sibusiso Mdletshe Andre L. Nel Louise Rainford Heather A. Lawrence Computer-aided detection tool development for teaching chest radiograph pattern recognition to undergraduate radiography students: A context needs and capability analysis Health SA Gesondheid: Journal of Interdisciplinary Health Sciences computer-aided instruction implicit skills pattern recognition chest radiography simulated learning |
| title | Computer-aided detection tool development for teaching chest radiograph pattern recognition to undergraduate radiography students: A context needs and capability analysis |
| title_full | Computer-aided detection tool development for teaching chest radiograph pattern recognition to undergraduate radiography students: A context needs and capability analysis |
| title_fullStr | Computer-aided detection tool development for teaching chest radiograph pattern recognition to undergraduate radiography students: A context needs and capability analysis |
| title_full_unstemmed | Computer-aided detection tool development for teaching chest radiograph pattern recognition to undergraduate radiography students: A context needs and capability analysis |
| title_short | Computer-aided detection tool development for teaching chest radiograph pattern recognition to undergraduate radiography students: A context needs and capability analysis |
| title_sort | computer aided detection tool development for teaching chest radiograph pattern recognition to undergraduate radiography students a context needs and capability analysis |
| topic | computer-aided instruction implicit skills pattern recognition chest radiography simulated learning |
| url | https://hsag.co.za/index.php/hsag/article/view/1322 |
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