Designing Intelligent Systems to Support Medical Diagnostic Reasoning Using Process Data

Elizabeth B. Cloude; Nikki Anne M. Ballelos; Roger Azevedo; Analia Castiglioni; Jeffrey LaRochelle; Anya Andrews; Caridad Hernandez

doi:10.1007/978-3-030-78270-2_19

Designing Intelligent Systems to Support Medical Diagnostic Reasoning Using Process Data

Elizabeth B. Cloude^*, Nikki Anne M. Ballelos, Roger Azevedo, Analia Castiglioni, Jeffrey LaRochelle, Anya Andrews, Caridad Hernandez

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

We captured 36 medical professionals’ process data across five medical cases using CResME, a multimedia system designed to activate illness scripts. Findings showed medical expertise was unrelated to diagnostic performance when illness scripts were disrupted, and that process data was predictive of diagnostic performance for some medical cases. Implications of our study illustrate ways to design AIEd systems capable of scaffolding diagnostic reasoning to reduce medical errors.

Original language	English
Title of host publication	Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings
Editors	Ido Roll, Danielle McNamara, Sergey Sosnovsky, Rose Luckin, Vania Dimitrova
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	109-113
Number of pages	5
ISBN (Print)	9783030782696
DOIs	https://doi.org/10.1007/978-3-030-78270-2_19
State	Published - 2021
Externally published	Yes
Event	22nd International Conference on Artificial Intelligence in Education, AIED 2021 - Virtual, Online Duration: 14 Jun 2021 → 18 Jun 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12749 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd International Conference on Artificial Intelligence in Education, AIED 2021
City	Virtual, Online
Period	14/06/21 → 18/06/21

Keywords

AIEd systems
Diagnostic reasoning
Process data

Access to Document

10.1007/978-3-030-78270-2_19

Cite this

Cloude, E. B., Ballelos, N. A. M., Azevedo, R., Castiglioni, A., LaRochelle, J., Andrews, A., & Hernandez, C. (2021). Designing Intelligent Systems to Support Medical Diagnostic Reasoning Using Process Data. In I. Roll, D. McNamara, S. Sosnovsky, R. Luckin, & V. Dimitrova (Eds.), Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings (pp. 109-113). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12749 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-78270-2_19

Cloude, Elizabeth B. ; Ballelos, Nikki Anne M. ; Azevedo, Roger et al. / Designing Intelligent Systems to Support Medical Diagnostic Reasoning Using Process Data. Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings. editor / Ido Roll ; Danielle McNamara ; Sergey Sosnovsky ; Rose Luckin ; Vania Dimitrova. Springer Science and Business Media Deutschland GmbH, 2021. pp. 109-113 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Designing Intelligent Systems to Support Medical Diagnostic Reasoning Using Process Data",

abstract = "We captured 36 medical professionals{\textquoteright} process data across five medical cases using CResME, a multimedia system designed to activate illness scripts. Findings showed medical expertise was unrelated to diagnostic performance when illness scripts were disrupted, and that process data was predictive of diagnostic performance for some medical cases. Implications of our study illustrate ways to design AIEd systems capable of scaffolding diagnostic reasoning to reduce medical errors.",

keywords = "AIEd systems, Diagnostic reasoning, Process data",

author = "Cloude, {Elizabeth B.} and Ballelos, {Nikki Anne M.} and Roger Azevedo and Analia Castiglioni and Jeffrey LaRochelle and Anya Andrews and Caridad Hernandez",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 22nd International Conference on Artificial Intelligence in Education, AIED 2021 ; Conference date: 14-06-2021 Through 18-06-2021",

year = "2021",

doi = "10.1007/978-3-030-78270-2_19",

language = "English",

isbn = "9783030782696",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "109--113",

editor = "Ido Roll and Danielle McNamara and Sergey Sosnovsky and Rose Luckin and Vania Dimitrova",

booktitle = "Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings",

}

Cloude, EB, Ballelos, NAM, Azevedo, R, Castiglioni, A, LaRochelle, J, Andrews, A & Hernandez, C 2021, Designing Intelligent Systems to Support Medical Diagnostic Reasoning Using Process Data. in I Roll, D McNamara, S Sosnovsky, R Luckin & V Dimitrova (eds), Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12749 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 109-113, 22nd International Conference on Artificial Intelligence in Education, AIED 2021, Virtual, Online, 14/06/21. https://doi.org/10.1007/978-3-030-78270-2_19

Designing Intelligent Systems to Support Medical Diagnostic Reasoning Using Process Data. / Cloude, Elizabeth B.; Ballelos, Nikki Anne M.; Azevedo, Roger et al.
Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings. ed. / Ido Roll; Danielle McNamara; Sergey Sosnovsky; Rose Luckin; Vania Dimitrova. Springer Science and Business Media Deutschland GmbH, 2021. p. 109-113 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12749 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Designing Intelligent Systems to Support Medical Diagnostic Reasoning Using Process Data

AU - Cloude, Elizabeth B.

AU - Ballelos, Nikki Anne M.

AU - Azevedo, Roger

AU - Castiglioni, Analia

AU - LaRochelle, Jeffrey

AU - Andrews, Anya

AU - Hernandez, Caridad

PY - 2021

Y1 - 2021

N2 - We captured 36 medical professionals’ process data across five medical cases using CResME, a multimedia system designed to activate illness scripts. Findings showed medical expertise was unrelated to diagnostic performance when illness scripts were disrupted, and that process data was predictive of diagnostic performance for some medical cases. Implications of our study illustrate ways to design AIEd systems capable of scaffolding diagnostic reasoning to reduce medical errors.

AB - We captured 36 medical professionals’ process data across five medical cases using CResME, a multimedia system designed to activate illness scripts. Findings showed medical expertise was unrelated to diagnostic performance when illness scripts were disrupted, and that process data was predictive of diagnostic performance for some medical cases. Implications of our study illustrate ways to design AIEd systems capable of scaffolding diagnostic reasoning to reduce medical errors.

KW - AIEd systems

KW - Diagnostic reasoning

KW - Process data

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DO - 10.1007/978-3-030-78270-2_19

M3 - Conference contribution

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SN - 9783030782696

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings

A2 - Roll, Ido

A2 - McNamara, Danielle

A2 - Sosnovsky, Sergey

A2 - Luckin, Rose

A2 - Dimitrova, Vania

PB - Springer Science and Business Media Deutschland GmbH

T2 - 22nd International Conference on Artificial Intelligence in Education, AIED 2021

Y2 - 14 June 2021 through 18 June 2021

ER -

Cloude EB, Ballelos NAM, Azevedo R, Castiglioni A, LaRochelle J, Andrews A et al. Designing Intelligent Systems to Support Medical Diagnostic Reasoning Using Process Data. In Roll I, McNamara D, Sosnovsky S, Luckin R, Dimitrova V, editors, Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 109-113. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-78270-2_19

Designing Intelligent Systems to Support Medical Diagnostic Reasoning Using Process Data

Abstract

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Conference

Keywords

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Cite this