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Natural Language Processing of Referral Letters for Machine Learning–Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study

Natural Language Processing of Referral Letters for Machine Learning–Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study

A clinical decision support system (CDSS) may lead to an increase in triaging patients to the best-possible or targeted treatment and increase the cost-effectiveness of current care for LBP. These models, however, are limited to self-report questionnaires as input and may consequently still have low model fit values, leading to nonvaluable support tools [7].

Sebastian Fudickar, Carsten Bantel, Jannik Spieker, Heinrich Töpfer, Patrick Stegeman, Henrica R Schiphorst Preuper, Michiel F Reneman, André P Wolff, Remko Soer

J Med Internet Res 2024;26:e46857

Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Study

Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Study

Therefore, a robust and interpretable early triaging system is necessary to accurately triage patients in preparation for the next pandemic [8]. Many prognostic models for patients with COVID-19 severity and mortality have been proposed, yet most were reported unsuitable for clinical application by several systematic review studies [9-11].

Sangwon Baek, Yeon joo Jeong, Yun-Hyeon Kim, Jin Young Kim, Jin Hwan Kim, Eun Young Kim, Jae-Kwang Lim, Jungok Kim, Zero Kim, Kyunga Kim, Myung Jin Chung

J Med Internet Res 2024;26:e52134

The TeleTriageTeam, Offering Continuity of Personalized Care Through Telemedicine: Development and Evaluation

The TeleTriageTeam, Offering Continuity of Personalized Care Through Telemedicine: Development and Evaluation

Although originally conceptualized for telephonic triaging and rescheduling appointments during the acute pandemic-related capacity crisis, the approach has evolved into a telemedicine service that included advising patients, refining treatment, or referring patients to other physicians. It appeared highly valuable beyond the acute crisis and is therefore still ongoing.

Janneau Claessens, Sigrid Mueller-Schotte, Jeannette van Weerden, Helianthe Kort, Saskia Imhof, Robert Wisse

JMIR Hum Factors 2023;10:e46145