Streamlining Oncology Care with Docviser Workflows

July 11, 2025

3 min Read

Cancer treatment is rarely a straight line. Every prescription must be vetted for drug interactions, matched against the latest clinical‑trial options, approved by pharmacy, scheduled by nursing staff, and continuously monitored for side‑effects. Before Docviser, each of those steps lived in a different system—or in someone’s head—creating delays, double‑checks, and long email chains.

Workflows in Docviser operate like software‑powered checklists: a pre‑defined series of steps that trigger one another automatically. Once a doctor initiates the process, each stakeholder (pharmacist, nurse, fellow specialist) sees exactly what they need to do and updates the case with a single click. The result is less time hunting for information and more time with patients.

Workflows vs. agents – what’s the difference?

A workflow is a deterministic script: the steps are fixed, the order is known, and the outcome is predictable. Its strength lies in reliability—every time the same trigger occurs, the same sequence unfolds.

An agent is more like a digital assistant with decision‑making power. Given a goal, it can choose which tools to call, adapt its strategy midway, and pursue the result through many possible paths. Agents are dynamic; they excel when the question is open‑ended or when new information might change the approach.

In Docviser we use both. Today’s article focuses on deterministic workflows—the automations every oncology case needs, every single time. In upcoming pieces we’ll explore how our Retrieval‑Augmented Generation (RAG) layer powers clinical reasoning and how Docviser Agents tackle those fluid, exploratory clinical questions.

Key oncology workflows we’ve built

Clinical question	What Docviser does behind the scenes	Benefit for the care team
Is my patient eligible for any open clinical trials?	With one tap, Docviser queries multiple trial registries, compares inclusion criteria to the patient’s chart, and returns an eligibility assessment.	Doctors keep pace with new research without leaving the consult room.
Could these drugs clash?	Our Drug Interaction workflow calls specialized interaction APIs, merges the findings, and highlights any red‑flag combinations before the prescription is signed.	Fewer pharmacy callbacks and safer regimens.
What side‑effects should I warn the patient about?	When a treatment plan is validated, Docviser pulls structured safety data from PubMed, Medscape, MedlinePlus and others, grounding LLM summaries in verifiable sources.	Up‑to‑date counselling materials appear instantly to both patient and doctor.
Show me the trend in neutrophil counts since cycle 1.	The doctor simply types the request; Docviser translates it to SQL, fetches the numbers, and renders an interactive graph on demand.	Clinical insights in seconds—no spreadsheets required.

These examples share a common pattern: they remove repetitive look‑ups, gather authoritative data, and present it in the right place at the right moment.

Listening to clinicians, releasing in small steps

Our best ideas don’t start in a sprint‑planning spreadsheet—they come straight from the clinicians who rely on Docviser every day. We gather feedback in many ways: a quick hallway chat, a late‑night email, or insights shared during virtual tumor boards. Whenever we notice a doctor copy‑pasting trial IDs or googling a side‑effect, we ask a simple question: “Could Docviser do that for you?” If the answer is yes, it moves onto the workflow roadmap.

Releases are incremental on purpose. A narrowly scoped automation that saves two minutes per patient is still a win, and clinicians trust the system because they helped design it.

What’s next

The workflows above are only the beginning. We’re currently validating automations for:

Automated document separation – ingesting a scanned admission folder, detecting each individual report, and filing it under the correct document type so doctors can instantly filter for what they need.
Consult‑to‑record transcription – turning the audio from a consultation into structured entries such as the visit note and new prescription; the physician only reviews and approves.

Each new workflow frees up a few more minutes for clinicians to spend with patients—and that, ultimately, is the measure of success.

This piece is the first in a series on Docviser’s AI‑enabled oncology platform. Next up: how Retrieval‑Augmented Generation (RAG) keeps our data grounded, and how Docviser Agents tackle open‑ended clinical questions.