2019 Fiscal Year Research-status Report
The development of an artificial intelligence (AI) system for improving medical students' English language interviewing skills
| Project/Area Number |
18K12460
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| Research Institution | Keio University |
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Principal Investigator |
トーマス ジェームズ 慶應義塾大学, 医学部(信濃町), 講師 (10792583)
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| Project Period (FY) |
2018-04-01 – 2021-03-31
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| Keywords | artificial intelligence / virtual patient / natural language / clinical communication |
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| Outline of Annual Research Achievements |
The 2nd year of this project progressed in-line with the initial proposal. In the first part of the year, the artificial intelligence virtual patient system was refined further using data collected on user inputs. Sensitivity of the system was increased to 93%. The system was used with a larger cohort of 60 pre-clinical medical students and data was gathered to assess its effectiveness in improving medical history-taking, language skills, and clinical reasoning. Acceptance of the system was also evaluated. Data on the project was presented as oral presentations at the Association for Medical Education in Europe (August 2019) and the Conference for Education in Medicine and Simulation (August 2019). I was also invited as a keynote speaker to discuss the research at the IFMSA (August 2019).
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The key aims for the second year of the project have been met, specifically:
- To further refine an artificial intelligence virtual patient system with natural language processing for improving medical students' clinical communication.
- To begin to qualitatively and quantitatively evaluate the effectiveness of the system on pre-clinical medical students’ language skill development.
In addition to language skill development we have also started to include clinical reasoning and student acceptance of the system for evaluation.
Additional data now needs to be collected to compare clinical and pre-clinical medical students. Due to the current COVID-19 restrictions, we will gather this data via online systems and tools.
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| Strategy for Future Research Activity |
The third year of the project will involve additional data collection using the AI virtual patient system as an e-learning resource for increasing medical students' clinical communication skills, clinical reasoning, and student engagement. The system will be further evaluated as a tool for pre-clinical and clinical medical students and quantitative and qualitative data will be collected using online systems and tools due to the recent COVID-19 restrictions, specifically:
- Data gathering using online polling
- Video online workshops
- Student 5-point Likert-scale questionnaires
After the final data has been gathered, results will be presented via international conferences and submission to international educational journals.
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