Addressing challenges in telephone triage for outpatient oncology care: A data-centred digital routing solution.
Notice bibliographique
Résumé
591 Background: As cancer care shifts to a predominately outpatient model, there is growing recognition that optimizing communication between patients and their care providers between scheduled visits can improve efficiency and patient outcomes. Princess Margaret Cancer Centre (PM), which sees over 80,000 patients annually, operates with many parallel telephone triage lines as the primary means of patients-provider communication. When a patient needs to contact their care team, they are instructed to leave a voicemail and wait for a response. In a high-volume setting this model presents many challenges to the patient experience, provider efficiency, and patient safety. The purpose of this pilot project was to design, implement, and assess the feasibility of a digital channel for patients to reach their care team. Methods: We used a human-centred design approach to develop a new digital triage service. First, we analyzed manually collected triage call data over a one-year period to understand the most common patient queries of the telephone triage service. Through co-design, a new digital-triage service was conceptualized and prototyped. Subsequently, we tested a data-centred digital routing algorithm for patient concerns and symptoms. To evaluate implementation and assess feasibility, we collected usage data, satisfaction surveys, and conducted staff shadowing and interviews. We used PDSA cycles to refine user experience and clinical workflows. Results: Patient adoption of digital triage increased continuously over 9 months, with volumes surpassing voicemail after four months: over the last four months digital triage has encompassed on average 63% of the total request volumes. The response rate to patient surveys was 21%. Patients indicated being very satisfied or satisfied (74.4%), neutral (6.7%), and dissatisfied or very dissatisfied (18.9%). Interviews with leading triage staff suggest the digital channel improves triage efficiency and redirecting/escalation by providing structured and complete patient queries. Conclusions: The pilot highlights the feasibility and acceptability of a digital-triage service in a comprehensive cancer care setting. By leveraging digital tools and real-time data, PM addressed the challenges of telephone triage, enabling a more efficient process to respond to patients’ needs, while demonstrating high adoption and patient satisfaction. Subsequent work will expand the use of digital triage to all disease sites across the cancer centre, and create foundational workflows and technology for proactive care models, such as Remote Patient Monitoring.
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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 | 0,002 | 0,009 |
| 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 | 0,003 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 ».