Systex Scribe is live, book a demo today

Systex Scribe is live, book a demo

Live Now

Then

The Operating System for Healthcare

An ER-first hospital OS with real-time operational visibility. First module, Systex Scribe: conversation → structured ED notes + AI suggestions

Start a 30-day pilot

The Problem

The ER visibility gap

Emergency clinicians are forced to run care and operations at the same time. Without real-time visibility into patient status and workload, delays pile up and wait times grow.

The ER visibility gap

Emergency clinicians are forced to run care and operations at the same time. Without real-time visibility into patient status and workload, delays pile up and wait times grow.

Waiting room growing: 9 patients waiting

Staff Strain raising: More interruptions less care

Lab results ready: Provider not notified

Status not updated: Room still marked “Occupied”

Delays compound into losses

Small delays compound into fewer patients seen per shift and more patients who leave or choose another facility. That means lost revenue, higher strain on staff, and worse patient experience.

Waiting room growing

Staff Strain raising

Lab results ready

Status not updated

Delays compound into losses

Small delays compound into fewer patients seen per shift and more patients who leave or choose another facility. That means lost revenue, higher strain on staff, and worse patient experience.

Manual check...

Confirm bed availability

Check CT/X-ray backlog

Ask for latest vitals status

Manual coordination

Teams rely on manual check-ins, paging, and switching between systems that aren’t always current. Doctors spend time chasing updates across labs, imaging, beds, and consults instead of moving care forward.

Manual check...

Confirm bed availability

Check CT/X-ray backlog

Ask for latest vitals status

Manual coordination

Manual check...

Confirm bed availability

Check CT/X-ray backlog

Ask for latest vitals status

Manual coordination

Code

If updates are manual → data becomes stale

If data is stale → teams don't trust it

If teams don't trust it → they ask people instead

If people are the system → the ER slows down

Common failure:

"Room looks occupied" even when the patient left

→ room stays unused

→ wait times increase

→ doctors time wasted

→ patient wait time increased

Static tools don’t adapt

Most tools are static dashboards that depend on humans to keep them accurate. They don’t reconcile stale data or recommend the next best action, so teams stop trusting the board.

Code

If updates are manual → data becomes stale

If data is stale → teams don't trust it

If teams don't trust it → they ask people instead

If people are the system → the ER slows down

Common failure:

"Room looks occupied" even when the patient left

→ room stays unused

→ wait times increase

→ doctors time wasted

→ patient wait time increased

Static tools don’t adapt

Most tools are static dashboards that depend on humans to keep them accurate. They don’t reconcile stale data or recommend the next best action, so teams stop trusting the board.

Code

If updates are manual → data becomes stale

If data is stale → teams don't trust it

If teams don't trust it → they ask people instead

If people are the system → the ER slows down

Common failure:

"Room looks occupied" even when the patient left

→ room stays unused

→ wait times increase

→ doctors time wasted

→ patient wait time increased

Static tools don’t adapt

Most tools are static dashboards that depend on humans to keep them accurate. They don’t reconcile stale data or recommend the next best action, so teams stop trusting the board.

From dashboards to decisions

AI can now turn fragmented signals into a live model of ER operations. It can predict delays and recommend priorities continuously, so the ER runs on decisions, not manual coordination.

From dashboards to decisions

AI can now turn fragmented signals into a live model of ER operations. It can predict delays and recommend priorities continuously, so the ER runs on decisions, not manual coordination.

From dashboards to decisions

AI can now turn fragmented signals into a live model of ER operations. It can predict delays and recommend priorities continuously, so the ER runs on decisions, not manual coordination.

The Vision

Real time visibility across healthcare powered by AI

Systex AI is building the ER first hospital ERP. We combine live operational signals with clinical documentation to help teams prioritize work, predict delays, and improve throughput

What can I help with?

Generate summaries, extract symptoms, and explore clinically relevant insights in seconds

Add test result

Analyze

Suggest

Modify

What can I help with?

Generate summaries, extract symptoms, and explore clinically relevant insights in seconds

Add test result

Analyze

Suggest

Clinical Documentation

Systex Scribe: structured notes

Capture the clinician patient conversation and instantly generate a clean, structured ED notes. Then refine it quickly with an AI chatbot that improve completeness and consistency, so that documentation doesn't slow the shift.

Structure teport templates

Fast review + edits

Operations Intelligence

Systex Flow: live prioritization and predicted timelines

Systex Flow connects what's happening across the ER patient status, workload, pending orders, and throughput signals, to suggest what to do next. It helps teams anticipate delays, reduce bottlenecks, and keep patients moving safely through care.

Who to see next

Predict wait times

Bottleneck alerts

Live Status

Hospital Rooms

Room 13, Patient F
Waiting for X Ray results
Room 15, Patient D
Discharge completed,
Room 2, Patient S
On-going examination
Room 4, Patient A
Arrived for Initial examination
Waiting Room, Patient C
Patient still waiting for test documents

Live Status

Hospital Rooms

Room 13, Patient F
Waiting for X Ray results
Room 15, Patient D
Discharge completed,
Room 2, Patient S
On-going examination
Room 4, Patient A
Arrived for Initial examination
Waiting Room, Patient C
Patient still waiting for test documents

Hello Dr. Smith

Here is your custom schedule for the ER today

Dr. Smith's schedule:

Patient A, shoulder reduction

90% Finsihed

Schedule

9:00

9:30

10:00

10:30

11:00

11:30

12:00

Initial Patient Assessment

Patient D, room 15

X Ray Tests available

Patient C, room 12

Hello Dr. Smith

Here is your custom schedule for the ER today

Dr. Smith's schedule:

Patient A, shoulder reduction

90% Finsihed

Schedule

9:00

9:30

10:00

10:30

11:00

11:30

12:00

Initial Patient Assessment

Patient D, room 15

X Ray Tests available

Patient C, room 12

System Coordination

Systex OS: The AI operating system

Systex OS unifies documentation and operations into one AI-native system. With full visibility across the patient lifecycle, it helps hospitals coordinate teams, standardize workflows, and continuously improve efficiency without adding any manual tracking.

Unified lifecycle

Operational visibility

Continuous optimization

Want to see what we’re building next?

Take a quick walkthrough of the Systex platform, Scribe today, Flow next, and the ER operating system we’re building toward.

Explore Platform