Comparative Effectiveness of Real-Time Teleultrasound Versus In-Person Ultrasound
Notice bibliographique
Résumé
What Is the Issue? Ultrasound imaging requires highly trained professionals for accurate diagnostic exams and interpretation. Ultrasound is more affordable and portable than CT and MRI and does not expose patients to radiation. This makes ultrasound the preferred method for real-time assessment and soft tissue imaging. For more detailed or complex imaging, or when clinically indicated, CT and MRI may be more appropriate. In Canada, less than 28% of rural hospitals have in-house access to ultrasound, leading to patient transfers. Ultrasound exams are often conducted by sonographers, and there is a notable shortage of sonographers both in Canada and worldwide. Limited access to skilled ultrasound professionals has led to the development of teleultrasound (TUS), which supports remote clinical decision-making. TUS can be delivered in real time with remote guidance from a sonographic expert. TUS can be used by a variety of health care professionals with minimal ultrasound training. However, as the use of real-time TUS continues to expand to different clinical areas, its clinical effectiveness compared with traditional in-person ultrasound remains unclear. What Did We Do? We received a request related to the use of real-time TUS to support policy decision-making. A literature search was conducted to identify studies examining the clinical effectiveness of real-time TUS compared with conventional in-person ultrasound and any evidence-based guidelines for TUS use in clinical practice. We also report some of the advantages and challenges of TUS as described in the literature. What Did We Find? Real-time TUS was comparable to conventional in-person ultrasound for exam image quality and diagnostic consistency. Exams took, on average, more than 25% (or 6 minutes) longer to complete compared with in-person ultrasound. Real-time TUS was associated with high clinician satisfaction for comfortability, telecommunication quality, exam duration and quality, and accessibility. Several studies reported transient safety-related complications (e.g., increased pressure, pain), patient discomfort or fear, and technical difficulties during 10% of robotic-assisted TUS exams. Real-time 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. No evidence-based guidelines were identified for the use of TUS in clinical practice.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».