Pilot to scale: Implementing a digital triage solution across a large comprehensive cancer centre.

225 Background: Princess Margaret Cancer Centre (PM) sees over 80,000 patients annually and primarily operates using an outpatient model. Historically patients use a phone/voicemail triage service to communicate with their care team between scheduled visits. Many patient queries lack critical information necessary for effective screening, assessment, and processing. In turn leading to delays or missed calls that negatively impact patient experience, system efficiency, and safety. To address these challenges, we piloted a digital triage service and subsequently implemented in sixteen clinics. This project evaluated initial adoption, usage, care patterns and satisfaction in the first 5 months post-implementation. Methods: We used human-centred service design to develop the digital triage service within the EMR (Epic). Implementation strategies to scale across all outpatient clinics included leadership buy-in, co-design with key stakeholders, a phased implementation approach, and improvement cycles. To evaluate initial adoption, usage and care patterns, we used EMR system data. To assess patient satisfaction, we surveyed patients who used the service during the first three months. We conducted semi-structured interviews with staff to understand their experience integrating digital triage into their workflow. Results: Following the go-live period, patients sent an average of 1096 digital requests per month, representing 16% of all triage requests (phone + digital). The most common requests were symptom management (36% of nursing requests) and appointment change requests (40% of administrative requests). The algorithm automatically routed 93% of requests to the most appropriate care team member, compared to 74% pre-implementation. When asked if they were satisfied with their experience, most patients agreed or were neutral (69% and 10%, respectively), while 21% disagreed. In semi-structured interviews, nurses and administrative staff described improved efficiency by having triage requests integrated within the EMR, while have challenges related to prioritizing requests across multiple channels (e.g. digital, phone, others). Conclusions: Digital triage is foundational for better cataloguing and understanding our patients' unmet needs at home and between visits, enabling a continuous learning process to understand when and why people struggle throughout their care journey. Ongoing analyses will explore disease site-specific trends, compare phone to digital triage, and identify differences between users of each method. The data will inform further improvement cycles on the build and workflows, while enabling appropriate resourcing of this critical service and shifts towards proactive care.

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Publication Details

Journal
JCO Oncology Practice
Published
2024-09-30
DOI
https://doi.org/10.1200/op.2024.20.10_suppl.225
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Pilot to scale: Implementing a digital triage solution across a large comprehensive cancer centre.

Faiza Somji, Iryna Tymoshyk, Kelly Lane, Adam Badzynski et al.
JCO Oncology Practice
Mobile Health and mHealth Applications
article

Pilot to scale: Implementing a digital triage solution across a large comprehensive cancer centre.

Faiza Somji, Iryna Tymoshyk, Kelly Lane, Adam Badzynski, Maritza Carvalho, Tran Truong, Shayla Devonish, Mike Lovas, Alejandro Berlín, Monika K. Krzyzanowska, Ana Bravo, Stacie Carey
article en

Abstract

225 Background: Princess Margaret Cancer Centre (PM) sees over 80,000 patients annually and primarily operates using an outpatient model. Historically patients use a phone/voicemail triage service to communicate with their care team between scheduled visits. Many patient queries lack critical information necessary for effective screening, assessment, and processing. In turn leading to delays or missed calls that negatively impact patient experience, system efficiency, and safety. To address these challenges, we piloted a digital triage service and subsequently implemented in sixteen clinics. This project evaluated initial adoption, usage, care patterns and satisfaction in the first 5 months post-implementation. Methods: We used human-centred service design to develop the digital triage service within the EMR (Epic). Implementation strategies to scale across all outpatient clinics included leadership buy-in, co-design with key stakeholders, a phased implementation approach, and improvement cycles. To evaluate initial adoption, usage and care patterns, we used EMR system data. To assess patient satisfaction, we surveyed patients who used the service during the first three months. We conducted semi-structured interviews with staff to understand their experience integrating digital triage into their workflow. Results: Following the go-live period, patients sent an average of 1096 digital requests per month, representing 16% of all triage requests (phone + digital). The most common requests were symptom management (36% of nursing requests) and appointment change requests (40% of administrative requests). The algorithm automatically routed 93% of requests to the most appropriate care team member, compared to 74% pre-implementation. When asked if they were satisfied with their experience, most patients agreed or were neutral (69% and 10%, respectively), while 21% disagreed. In semi-structured interviews, nurses and administrative staff described improved efficiency by having triage requests integrated within the EMR, while have challenges related to prioritizing requests across multiple channels (e.g. digital, phone, others). Conclusions: Digital triage is foundational for better cataloguing and understanding our patients' unmet needs at home and between visits, enabling a continuous learning process to understand when and why people struggle throughout their care journey. Ongoing analyses will explore disease site-specific trends, compare phone to digital triage, and identify differences between users of each method. The data will inform further improvement cycles on the build and workflows, while enabling appropriate resourcing of this critical service and shifts towards proactive care.

JCO Oncology PracticeVol. 20(10_suppl)
University Health Network (CA), Princess Margaret Cancer Centre (CA)
Princess Margaret Cancer Foundation
Openalex Percentile: Top 71%
Mobile Health and mHealth Applications
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