AI agents for oncology practices

Oncology is a scheduling specialty with a financing problem attached: a chemotherapy plan is a calendar of infusions, labs, and imaging, and every cycle depends on a benefits investigation and an authorization that cleared before the chair time. Flexbone runs the treatment-schedule adherence calls, books infusion and lab visits, runs benefits investigations for buy-and-bill drugs, submits treatment-plan prior authorization, and handles referral intake from community practices, working inside the web interfaces of OncoEMR, Epic Beacon, ARIA, MOSAIQ, and Unlimited Systems alongside your clinical and billing teams.

How does AI keep oncology patients on their treatment schedule?

Flexbone runs the calls that keep the regimen on its calendar. Before each cycle, voice agents confirm the infusion appointment, verify the pre-treatment labs are scheduled or drawn, and check transportation, because a missed draw discovered at check-in forfeits the chair slot. When a patient cancels, the agent rebooks quickly and backfills the chair from a waitlist, since dose intervals are clinical parameters rather than scheduling preferences. Anything the patient reports that sounds clinical, a fever, new symptoms, a medication question, routes to the triage nurse with the context attached instead of being answered by the agent. After active treatment, the same machinery runs survivorship follow-up: recall for surveillance visits, imaging, and lab work on the schedule the care plan sets. The AI patient coordinator page covers the scheduling machinery itself.

Can AI run benefits investigations for buy-and-bill oncology?

Yes, and in oncology the investigation has to finish before the practice buys the drug. Flexbone runs the 270/271 eligibility check, then works the questions the transaction does not answer: whether the drug pays under the medical or the pharmacy benefit, where the patient sits against deductible and out-of-pocket maximums, whether the plan mandates white bagging from its specialty pharmacy, and what the coinsurance exposure on the regimen looks like. Browser agents pull the answers from payer portals and place the calls that portals cannot answer, then write the findings back so the financial counselor starts from a completed eligibility and benefits picture rather than a blank form. Patients with heavy coinsurance exposure are flagged early, while assistance program enrollment is still worth starting.

How does AI handle chemotherapy prior authorization and referral intake?

Flexbone submits the treatment plan and keeps it authorized as it changes. Payers review oncology regimens through pathways programs against staging, biomarkers, and prior lines of therapy, so the agent assembles that record from the chart, submits the plan-level request, and tracks it to a decision. Because the approval binds to the plan, a change of drug, dose, or schedule mid-course triggers an amended request before the next cycle rather than after a denied one. On the intake side, new patients arrive as referrals from community and hospital practices, and the first infusion date depends on how fast the records, pathology, and imaging arrive. Agents chase those documents, confirm the referral, and get the consult scheduled. The infusion and oncology PA page covers the authorization criteria in detail.

How does Flexbone deploy into an oncology practice?

We start with an audit rather than an installation. Flexbone is a forward-deployed engineering team: we sit with your operation, measure where cycles slip, which benefits investigations run late, and which referrals stall waiting on records, then build agents against your standard operating procedures. The agents work inside and alongside the web interfaces your staff already use, whether that is OncoEMR from Flatiron, Epic Beacon, ARIA from Varian, MOSAIQ from Elekta, or Unlimited Systems on the billing side, without an interface build or a certification project. Voice agents carry the patient and payer calls, browser agents work the portals, and everything writes back with an audit trail. Exceptions route to your team with context, and denial follow-up connects to denials management so the authorization record follows the claim.