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ManageCare transforms oncology survivorship practices by automating referral intake from oncology teams, coordinating surveillance imaging and lab schedules, tracking late-effect symptom management, and ensuring every cancer survivor remains engaged across cardiovascular monitoring, secondary cancer screening, and psychosocial support pathways.
Orchestrate every oncology survivorship patient journey from treatment completion to lifelong cancer surveillance with zero patients lost to follow-up
97%
Surveillance imaging schedule adherence
3 min
Average referral-to-verification time
72%
Reduction in patients lost during survivorship transition
0
Survivors lost to long-term surveillance follow-up
Oncology survivorship practices face the critical challenge of tracking cancer survivors across years of surveillance imaging, lab monitoring, late-effect management, and secondary cancer screening. Patients transition from active treatment and fall off surveillance schedules, late treatment effects go undetected, and psychosocial support referrals are missed during the survivorship transition.
Cancer survivors transitioning from active treatment fall off surveillance schedules when manual tracking systems cannot maintain multi-year monitoring protocols
Late treatment effects including cardiotoxicity, neuropathy, and secondary cancers go undetected without automated symptom surveillance
Surveillance imaging and lab coordination across oncology, radiology, and cardiology requires multi-department scheduling with no unified view
Psychosocial support referrals for scanxiety, depression, and fear of recurrence are missed during the survivorship transition
High-volume survivor calls about symptoms, scan results, and late-effect concerns overwhelm staff without AI-assisted triage and severity routing
Survivorship care plans from treating oncologists arrive in varied formats that require manual data extraction and protocol mapping
Every workflow purpose-built for oncology survivorship medicine operations.
Referral intake with OCR extraction of treatment summaries, survivorship care plans, pathology reports, and oncology discharge documentation with patient matching and insurance verification in under 3 minutes
AI-driven scheduling matching patients to optimal slots based on surveillance imaging intervals, late-effect monitoring timelines, cardio-oncology assessment schedules, and provider specialization in specific cancer type survivorship
Smart waitlist that fills cancellations within minutes via automated SMS and voice outreach prioritized by surveillance urgency and overdue screening flags
Pre-treatment prep automation — survivorship care plan reviews, imaging prep instructions, fasting lab requirements, and psychosocial screening questionnaires with compliance confirmation
Multi-channel patient engagement: reminders, confirmations, and prep instructions for surveillance scans, cardio-oncology visits, and support group sessions via SMS, voice, and portal
Real-time late-effect symptom and surveillance marker monitoring with AI severity assessment and escalation for patients showing potential recurrence indicators or emerging secondary cancers
Post-treatment AI triage with 91% first-call resolution — addressing survivorship symptom concerns, scan anxiety management, and late-effect medication questions
Automated survivorship/follow-up surveillance — zero patients lost to follow-up across 5-year and 10-year surveillance protocols, annual cardio-oncology assessments, and secondary cancer screening schedules
Specialized AI employees that handle these workflows autonomously.
Extracts survivorship referral data via OCR, processes treatment summaries and survivorship care plans, matches patients across oncology and primary care systems, verifies insurance eligibility, and flags overdue surveillance milestones for expedited scheduling.
Orchestrates multi-year surveillance imaging, cardio-oncology assessments, late-effect monitoring visits, and secondary cancer screenings while filling cancellations within minutes through AI-driven waitlist prioritization based on recurrence risk scores.
Delivers multi-channel outreach for surveillance scan reminders, late-effect screening prompts, and psychosocial support opportunities via SMS, voice, and portal — reducing surveillance dropout with predictive modeling and scanxiety-sensitive communication protocols.
Monitors late-effect symptoms and surveillance markers in real time, triages recurrence concern calls and treatment side-effect inquiries with AI severity assessment, and achieves 91% first-call resolution for survivorship post-treatment concerns.
Learn more about the platform, AI employees, and measurable outcomes powering modern healthcare practices.
See the autonomous agents that handle scheduling, referrals, care management, and more.
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