Asynchronous Teleultrasound and In-Person Ultrasound: Comparing Diagnostic Accuracy
Notice bibliographique
Résumé
What Is the Issue? Access to ultrasound services remains limited in many parts of Canada, with fewer than 28% of rural hospitals having in-house ultrasound, often resulting in patients being transferred to urban centres. Ultrasound imaging requires highly trained professionals, typically sonographers, for accurate diagnostic exams and interpretation. However, Canada and many other countries are facing a shortage of trained sonographers, which can impact access to timely care. As a portable and radiation-free modality, ultrasound is ideal for real-time soft-tissue imaging, though CT, MRI, and PET-CT may be preferred for more complex cases. Teleultrasound (TUS) has emerged to support an increase in ultrasound demand, particularly in resource-limited environments. TUS can be delivered in real time with remote guidance from a sonographic expert, or images can be sent asynchronously for expert interpretation. TUS can be used by a variety of health care professionals with minimal ultrasound training, but as asynchronous models expand, their comparability to standard in-person ultrasound requires further evaluation. What Did We Do? We received a request related to the use of asynchronous TUS to support policy decision-making. In response, we prepared this rapid review to summarize and critically appraise the available studies on the quality of health care provided with asynchronous TUS (unsupervised ultrasound with remote exam interpretation by an expert) as compared to the traditional service model of ultrasound. A literature search was conducted, limited to English-language reports published since 2019, to identify relevant studies and evidence-based guidelines. A single reviewer screened records for inclusion based on predefined criteria, critically appraised the included studies, extracted relevant data, and summarized the findings. What Did We Find? We found 11 cohort selection cross-sectional studies that examined health care quality (diagnostic accuracy, image quality, and acceptability) across various target conditions. Overall, asynchronous TUS was found to be an alternative method to the standard in-person model of ultrasound for identifying certain targeted conditions, when assessing diagnostic accuracy and exam image quality. Asynchronous TUS was accepted by patients and clinicians, based on a limited number of studies that examined this outcome. Asynchronous TUS was studied in a wide range of clinical indications in various settings, highlighting its growing role and potential for expanded application in clinical practice. There is uncertainty regarding the acceptable balance of sensitivity and specificity for each target condition. The heterogeneity of study results, potential bias, and a limited volume of recent evidence impacts the overall interpretability of findings. What Does This Mean? Asynchronous teleultrasound TUS could improve access to diagnostic imaging, particularly in underserved or low-resource settings where in-person ultrasound services are limited. Wider clinical adoption would depend on establishing standardized training, procedural protocols, and supportive regulatory frameworks to ensure quality, consistency, and patient safety across settings. The evidence shows potential for asynchronous TUS use in clinical practice, but variation in study quality and unclear diagnostic standards mean it should be used cautiously and evaluated carefully within specific clinical contexts. Further research is needed to enhance understanding of patient outcomes, define condition-specific diagnostic accuracy thresholds (i.e., acceptable balance of sensitivity and specificity), and explore the impact on health system performance.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,056 | 0,300 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,005 | 0,006 |
| Bibliométrie | 0,010 | 0,010 |
| Études des sciences et des technologies | 0,001 | 0,003 |
| Communication savante | 0,006 | 0,005 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».