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ClinLearning: An Online Clinical Tutoring and Crowdsourced Treatment Recommendation System
Book chapter   Peer reviewed

ClinLearning: An Online Clinical Tutoring and Crowdsourced Treatment Recommendation System

Hasan M. Jamil, Tyler Bland, Evanthia Bernitsas, Nancy Carr, Derrick Phillips, Farjahan Shawon, Berhane Seyoum and Alexander Gow
Information Integration and Web Intelligence, pp.408-413
Lecture Notes in Computer Science, Springer Nature Switzerland
01/01/2023

Abstract

Clinical tutoring crowdsourcing EHR machine learning
Tutoring and training clinical practitioners are the corner stones of quality healthcare systems. While formal education and training give medical students the basis of human physiology, anatomy, health, and medicine, internships and hospital mentorships offer more hands-on practice, real life experiences and clinical insights to become a successful young physician. A digital tutoring and assessment system can aid in the training and learning process immensely. While there are several clinical tutoring and e-learning systems around, most do not support community contributed learning challenges to introduce new learning experiences. In this paper, we introduce a new clinical e-learning and tutoring system, called ClinLearning, for online training and assessment of medical students. In this system, we allow inclusion of partitioned EHRs for focused training, and submission and inclusion of challenging real life case scenarios for the recommendation of interventions. We highlight ClinLearning’s promises and discuss potential research opportunities.

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