MediOS — I Building an AI Hospital Control Plane Inside Notion

This is a submission for the Notion MCP Challenge

Video Demo

watch in youtube
https://youtu.be/xp2dmOBo06U

The Problem

Hospitals don’t struggle because of lack of expertise —

they struggle because of everyday workflow friction.

Healthcare work is inherently hectic.

Doctors and nurses operate under constant time pressure,
handling multiple patients, decisions, and updates at once.

• Supplies need to be tracked manually, and low stock is often noticed too late. masks , medicines , oxygen cylinder much more etc
• Patient information is recorded in multiple places, making it hard to keep everything consistent,The test records various department,patient history
• Doctor notes are sometimes difficult to read or follow, especially under time pressure These tasks are routine, but they take time, require coordination, and are easy to miss.

I wanted to explore:

What if these routine tasks could become simple, structured, and worry-free —

so hospital staff can focus on decisions instead of coordination?

People get tired and exhausts because of paperwork and disconnected systems.

What I Built

MediOS — an AI Clinical Control Plane that triages patients,
tracks hospital supplies, and keeps humans in control of every
critical decision.

The core idea: AI handles the paperwork. Humans make the decisions.

Show us the code

GitHub: https://github.com/shridharakki/medios

System Architecture

Nurse / Doctor types a message
           ↓
    Claude Desktop
           ↓
  Custom MCP Server (server.py)
           ↓
      5 MCP Tools:
  triage_patient()        → scores symptoms 0-100
  update_inventory()      → updates stock levels
  process_approved()      → assigns nurse on approval
  update_patient_notes()  → updates prescription
  create_alert()          → fires automatically on critical stock
           ↓
      Notion API
           ↓
  3 Databases: Patients | Review Queue | Inventory
           ↓
  watcher.py (background — checks every 30 seconds)
  → detects doctor approvals
  → assigns nurses automatically
  → zero extra commands needed

How I Used Notion MCP

Notion is not just a database in MediOS — it is the decision
surface where humans and AI collaborate.

3 Databases

Patients DB
Stores every patient with: Name, Symptoms, AI Score (0-100),
Priority (Critical/High/Medium), Status, Assigned Nurse, Doctor Notes

Review Queue DB
Every AI decision goes here first — nothing happens without
human approval. Doctor sees the AI reasoning and approves or rejects.

Inventory DB
Real-time supply tracking — Quantity, Threshold, Status
(OK/LOW/CRITICAL), Needs Reorder checkbox

3 Demo Flows

Flow 1 — Patient Triage + Human Approval

Nurse types:

"Add patient Ravi, chest pain and shortness of breath"

AI automatically:

• Scores symptoms → 91/100 — Critical
• Creates entry in Patients DB
• Sends to Review Queue as Pending

Doctor opens Notion → reads AI reasoning → changes to Approved

Watcher detects approval → Nurse Priya assigned instantly

No extra command. No manual step. The system reacts on its own.

Flow 2 — Inventory Alert (Proactive AI)

Nurse types:

"Update gloves quantity to 5"

AI automatically:

• Updates Inventory DB
• Detects quantity (5) is below threshold (20)
• Sets status → CRITICAL
• Ticks Needs Reorder checkbox
• Creates management alert in Review Queue

**One message. Five actions.

This is the difference between automation and intelligence —
the AI noticed a problem and reported it without being asked.

Flow 3 — Doctor Prescription

Doctor types:

"Update Ravi's notes: Prescribe aspirin 75mg, follow up in 3 days"

AI automatically:

• Updates Doctor Notes in Patients DB
• Changes patient Status → Treated

Doctor focuses on medicine. AI handles the paperwork.

Tech Stack

Future Roadmap

MediOS today handles triage, inventory, and prescriptions.
But the vision is much bigger —
There so many features to add
A complete Hospital Operating System where every role,
every department, and every patient has their own
intelligent workflow.

Phase 1 — Multi-User & Custom Tools

• Role-based access — Doctor, Nurse, Patient, Management each get their own custom MCP tools
• Doctor tools: voice dictation, prescription writer, patient summary
• Nurse tools: inventory reporting, patient updates, task management
• Management tools: dashboards, approvals, alerts
• Patient tools: view own records, book appointments, ask health questions

Phase 2 — Full Hospital Departments

• Medicine & Supplies — automated reordering, vendor alerts, usage prediction
• Instruments & Equipment — maintenance schedules, availability tracking
• Examinations & Tests — lab report scanning, result auto-updates to patient record
• Radiology & Scans — scan booking, report summarisation, doctor review queue
• Reporting — daily department summaries, weekly management reports auto-generated
• Appointments & Booking — patient self-booking, doctor calendar sync, reminder alerts

Phase 3 — Patient Home Care

• Medicine reminders — WhatsApp/SMS alerts so patients never forget their medication
• Personal health assistant — patient asks simple questions like:
  • "What should I eat today?"
  • "Which exercises help my recovery?"
  • "What activities should I avoid?"
  • "What yoga is good for my condition?"
• AI answers based on their actual prescription and doctor notes — not generic internet advice
• Recovery schedule — personalised daily plan sent to patient automatically after discharge
• Follow-up booking — AI reminds patient when next appointment is due and books it automatically

Phase 4 — Hospital Intelligence

• AI predicts busy periods from historical patient data
• Real-time bed availability across all wards
• Staff scheduling suggestions based on patient load
• Emergency ambulance tracking integration
• Insurance claim automation
• Cross-department coordination — lab results automatically notify the right doctor instantly

The Big Picture

From the moment a patient enters the hospital
to the moment they recover at home —
every step tracked, every task automated,
every human decision supported by AI.

MediOS is not just a hospital tool.
It becomes the operating system for healthcare.

What I Learned

This was my first real coding project outside of college assignments.

I learned:

• How to build custom MCP and how to connect it.
• How MCP servers work and how to build one from scratch
• How to connect Python to external APIs
• How to think about system design — not just writing code