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Project overview

Docviser is an oncology smart system prescription and patients management tool that enables doctors to collaborate very efficiently without a necessarily physical presence using virtual medical committees (tumor boards) and a collaborative treatment protocol database.

The entire in-clinic prescription flow is handled between doctors > pharmacists > nurses that enables them to set the right status for every treatment with real-time visibility.

Key results

40+
Hospitals
4000+
Patients
20k+
Treatments
100+
Tumor Boards

Challenge

Oncology teams needed one place to prescribe from shared protocols with exact dosages, hand prescriptions to pharmacists and nurses without confusion, and decide difficult cases together across specialties and locations.
  • 01

    Shared protocols

    One collaborative, global database of treatment protocols to prescribe from.

  • 02

    Exact dosages

    Precise dose calculations from proven methods and blood-test results — no manual arithmetic.

  • 03

    Three roles, one prescription

    Doctor, pharmacist and nurse working on the same treatment without back-and-forth.

  • 04

    Deciding together, remotely

    Multidisciplinary committees for specialists who aren’t in the same building.

Solution

A web and mobile platform with a shared protocol database, a prescription engine, a real-time doctor → pharmacist → nurse flow, virtual tumor boards, scheduling and an AI assistant over each patient’s files.
Protocol database
Drugs, cycles, dosages, custom calculations and localisations, ICD-10/11 coded, with bibliography and a chat to dispute unclear protocols.
Prescription engine
Recommends the most suitable protocol using the patient’s blood tests and scientifically proven calculation methods.
Real-time in-clinic flow
Pharmacists receive prescriptions instantly on web or mobile, update status and pass them to nurses. Every step is visible to everyone.
Virtual tumor boards
Secure case sharing plus built-in video conferencing for 30–40 participants, next to the patient’s files and history.
Scheduling
Consultations plus automatic Next Cycle Due dates; patients are notified and follow their treatment in real time.
AI assistant
Per-patient vector database queried with GPT-4o and medical models; auto-completes files, flags drug interactions. GDPR and HIPAA compliant.

Technology stack

NextJS
Vercel
Hubspot
React
MobX
StyledComponents
material-ui
AgoraSDK
Video-Audio Streaming
WebSockets
Web Push Notifications
S3 + Cloudfront AWS
CodePipeline
ReactNative
Push Notifications
Docker
CI - GithubActions
Fastlane
NestJS
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