Nebraska Cancer Specialists Partners With Predoc to Automate Record Retrieval
Nebraska Cancer Specialists is partnering with Predoc to automate incoming document ingestion and fax processing, targeting an administrative burden where staff previously spent up to forty percent of their time on phone calls, paperwork, and records routing, AJMC reported.
The Administrative Burden of Cancer Care Referrals
Gathering medical records by hand can take anywhere from a single day up to two weeks depending on the practice and patient complexity, according to Hari. In oncology, that wait happens when days and minutes count. These delays are an artifact of the current health care system rather than any individual practice’s fault. Systems lack a single universal API to connect disparate electronic health records. Consequently, the phone and the fax remain the only two public and reliable endpoints that every practice shares.
When community oncology groups draw referrals from regional hospital systems, primary care groups, and other specialists, the friction multiplies. Processing a single referral packet can consume ten minutes of a team’s time. Across fifty, sixty, or seventy referrals a day, the cumulative hours lost are substantial.
How Multi-Agent AI Manages Fax Ingestion
Predoc deploys a multi-agent system designed to retrieve, organize, and extract clinical context from medical records, delivering them straight into clinician workflows. Voice agents handle the tedious task of placing calls and waiting on hold. Hari audited one such call where a voice agent sat on hold for eleven minutes, time a human would have otherwise spent away from patient care.
Turnaround times range from fifteen minutes if digital documents are easily located to about three days for more complex cases. The platform strips out prior oncology notes, medication lists, lab results, imaging results, and genetic testing, sorting them into the specific folders of the electronic health record system that clinicians require. At Nebraska Cancer Specialists, the implementation begins with taking over fax ingestion and document processing through a phased rollout before adding full retrieval capabilities.
AI Support Allows Triage Nurses to Focus on Nursing
Health care faces a severe labor shortage that leaders expect to worsen over time. Debra Patt, executive vice president of Texas Oncology and president of the Community Oncology Alliance, noted in early 2025 that staffing is a major challenge as demand increases and supply decreases. Speaking at the COA Payer Exchange & Innovation Summit in September, Patt reported that AI-enabled decision support shifted triage nurses from splitting their time evenly between nursing and clerical work to dedicating eighty percent of their day to actual nursing.
Proponents emphasize that these technologies do not reduce payroll so much as they reallocate human resources to tasks requiring direct patient engagement. Medical professionals do not enter the oncology field to spend forty percent of their time phoning, faxing, and scanning documents. Relieving staff from clerical duties helps reduce burnout across the entire care team.
Measuring Success in Clinical Workflows
The Community Oncology Alliance released an AI Playbook in June advising practices to plan technology pilots with measurable outcomes, noting that innovation alone does not improve care. Predoc tracks success through two primary metrics: turnaround time and staff hours saved. Cutting a four-day record retrieval process down to two days effectively halves the wait. By managing dozens of daily referrals, automated processing preserves critical hours for clinics striving to deliver timely oncology care.