Canopy, the leader in Enterprise AI for oncology, today announced a partnership with the University of South Alabama (USA) Health Mitchell Cancer Institute, an academic research and treatment facility in Mobile, Alabama, to transform patient support between visits.
USA Health selected Canopy’s AI-native platform to replace legacy systems, aiming to extend the benefits of Remote Therapeutic Monitoring (RTM) across increasingly complex therapies while reducing operational burden for staff.
Canopy helps cancer centers manage the growing complexity of care by providing a unified AI platform across patient services: triage, call center, front office, referrals, and pharmacy. By embedding AI and automation into existing workflows, Canopy enables faster issue resolution, reduces manual work, and helps practices capture sustainable reimbursement.
Studies demonstrating the potential impact of Canopy’s platform on oncology patient experience in real-world settings have demonstrated:
USA Health Mitchell Cancer Institute is the first academic cancer center to join Canopy’s rapidly growing network of 500+ unique sites of care.
Canopy is the leader in Enterprise AI for Oncology, providing practices with a unified platform for all the care that happens between visits and across patient services. Supporting a growing network of more than 2,000 oncology providers across 500+ sites of care nationwide, Canopy enables practices to identify and prioritize patients who need help, resolve their issues using AI-native tools, and generate new reimbursement streams. For more information, visit www.canopycare.us.
As part of the University of South Alabama Health, the Mitchell Cancer Institute (MCI) is the only academic cancer research and treatment facility on the upper Gulf Coast corridor. With more than 250 employees, including clinicians and basic researchers, MCI embraces its mission to vanquish cancer through transformative research, education, and health care. To learn more, visit www.usahealthsystem.com/mci.
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1 Kolodziej, M. A., Kwiatkowsky, L., Parrinello, C., Thurow, T., Schaefer, E. S., Beck, J. T., Cherny, N., & Blau, S. (2022). ePRO-based digital symptom monitoring in a community oncology practice to reduce emergency room and inpatient utilization. Journal of Clinical Oncology, 40(16_suppl), 1508
2 Parrinello, C., Calkins, G., Kwiatkowsky, L., Schaefer, E. S., Beck, J. T., Ellis, A. R., Blau, S., Telivala, B. P., & Kolodziej, M. A. (2022). Time on treatment is prolonged in patients utilizing an ePRO based digital symptom monitoring platform in the community setting. Journal of Clinical Oncology, 40(16_suppl), 1528. DOI: 10.1200/JCO.2022.40.16_suppl.1528
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5 Derman, B. A., Essell, J. H., Kolodziej, M. A., Kwiatkowsky, L., Calkins, G., Parrinello, C. M., & Ascha, M. S. (2024, December 9). Electronic patient-reported outcome (ePRO) symptom monitoring for relapsed/refractory multiple myeloma in community settings, focusing on bispecific antibody therapy. American Society of Hematology Annual Meeting
6 Sharma, S., Doshi, G., Shumway, N., Schaefer, E., Dave, N., Marcus, A., Dyson, B., Derman, B., Essell, J., Ascha, M., Calkins, G., Neiman, J., Kwiatkowsky, L., & Kolodziej, M. (2025). Application of the remote therapeutic monitoring (RTM) platform to optimize adherence and manage toxicity of oral anti-cancer medications (OAM). JCO Oncology Practice, 21(suppl 10), abstract 594. DOI: 10.1200/OP.2025.21.10_suppl.594