Healthcare operations

Run the hospital, not the paperwork.

Ospeli is one operations system for hospitals and clinics: beds, engineering faults, A&E flow, process maps and the playbooks to redesign a department. It captures what happens as it happens, then helps your team fix the flow and prove what changed.

Map processes. Optimise flow. Improve care.

Operations today · Example General Example data Updated 14:32
Beds6available now · 4 waiting
Engineering11open work orders · 2 overdue
A&E flow3h 10mmedian arrival to decision
Process maps4walked this month
Needs a decision
PlaybookDischarge-before-noon trial on two wardsReview
EngineeringRepeat fault: suction unit, third time this monthAssign
The problem

Large public hospitals run on walking, phoning and paper.

Beds, broken equipment, A&E queues and handoffs are tracked on paper, whiteboards and phone calls, so nobody can see the whole hospital or prove what an improvement changed. Ospeli builds that record first.

TodayFree beds are found by walking the wards, with long gaps overnight.

With OspeliThe ward reports a bed's state the moment it changes.

TodayA&E waits are felt but not measured, step by step.

With OspeliArrival, triage, decision and bed are timestamped, so the slowest step is visible.

TodayHandoffs wait in trays and on boards until someone notices.

With OspeliEvery handoff is a task with an owner role and an alert.

TodayFaults are reported by phone and lost; simple fixes wait for a technician.

With OspeliScan a QR code to report, track the work order, and follow a step guide for simple fixes.

Modules

One system for the whole operation.

Start with the module that hurts most. Each one shares the same hospital model, the same definitions and the same audit trail.

Live demo

Bed board

Bed states, the waiting list, allocation with reasons for declines, and today's flow.

Open the demo
In build

Engineering and maintenance

QR fault reports with photos, work-order queues, repeat-fault lists and step guides for simple fixes.

In build

A&E and patient flow

Arrival to bed on one timeline, pressure levels and action cards when the department is under strain.

In build

Process mapping

Walk a process, tap each step, and get a current-state map with times and roles drawn for you.

In build

Playbooks

Flow reports, bottleneck finder, department redesign, structure review and business case packs.

In build

Guides for administrators

Checklists and decision trees for routine operations, with a learning mode for new staff.

How it works

Capture once. Every answer builds on it.

The model is not the hard part. The data, the hospital's structure and the routines that use them are.

  1. Capture

    Staff record what happens with one tap on a shared tablet or phone: a bed freed, a fault reported, a patient triaged. It works offline and syncs later. Timestamps are a by-product, not extra work.

  2. Model

    Departments, wards, beds, assets, roles and metric definitions are configured once per hospital, without code. Every report uses the same definitions every day.

  3. Playbooks

    Ready-made routines turn the day's events into the outputs operations teams already produce: flow reports, redesign options, structure reviews.

  4. Decide

    Ospeli suggests; a named person decides. Every suggestion is logged with its inputs and the human action taken.

Playbooks

The work your operations team does every week, built in.

Each playbook has a fixed input, a fixed analysis and a ready-to-use output. No starting from a blank chat.

Daily flow report

Reads: bed and admission eventsProduces: beds released, allocated and taken up, delays by reason, the overnight gap

Bottleneck finder

Reads: the event log for a ward or pathwayProduces: where time is lost, ranked, with each metric's definition beside its number

Department redesign

Reads: room list, layout, activity and staffingProduces: layout and process options with trade-offs and a data sheet

Process map

Reads: captured steps and timestampsProduces: a current-state flow, then a proposed future state

Structure review

Reads: roles, reporting lines, spans of control, vacanciesProduces: layers and spans analysis, duplication, a proposed structure

Business case pack

Reads: the output of any playbookProduces: a brief, data sheet and figures ready for executive sign-off
Why not a general AI chat?

A chat assistant starts every conversation empty.

Most of the effort in using general AI for hospital operations goes into explaining the hospital. Ospeli already knows it.

General AI chat

  • Knows only what someone pastes in
  • Needs the wards, roles and definitions explained each time
  • Gives a different answer to the same question on different days
  • Sends whatever you paste to an outside service

Ospeli

  • Holds today's data, captured on the ward as work happens
  • Knows your hospital: wards, beds, roles and metric definitions
  • Runs the same playbook the same way, so results compare week to week
  • Runs on your own server; no patient data leaves the hospital
Built for real hospitals

Designed for unreliable networks, shared tablets and tight budgets.

Offline-first

A ward keeps working through a network outage and syncs cleanly afterwards.

Runs on your premises

One small local server per hospital. Cloud hosting is optional, in-country where the law requires.

Beside your EHR

Sits alongside the existing record system and never replaces it. Exchanges data using HL7 FHIR R4 and HL7 v2.

Export anything

Any date range exports to CSV and FHIR without a vendor. Your data stays yours.

Commodity hardware

Mid-range Android tablets, a mini PC and a UPS. No specialist kit to import.

Open core

The core is open source, so a ministry IT team can install and inspect it.

Governance

Safe to buy, safe to run.

Ospeli is built to the rules a public hospital board and its data protection officer will ask about first.

People decide, Ospeli suggests

No allocation, report or clinical draft is issued without a named person's action.

Patient data stays in the hospital

Nothing identifiable leaves the site unless the hospital approves that specific flow in writing.

Measures flows, never people

Ospeli measures beds, queues and handoffs by role. It never times or ranks a named individual.

Full audit trail

Every read and write of patient data is logged in a tamper-evident record.

Synthetic data until you approve

Demonstrations and testing use a fictional hospital. Real data is used only after formal written approval.

An off switch for every AI feature

Each assistive feature can be turned off per hospital and per ward.

Pilot

Start with one to three wards and the bed desk.

A pilot runs alongside your existing paper process. Paper is retired on a ward only if its staff choose to.

  1. Weeks 1–2

    Measure today's baselines on paper. Agree ward and bed names. Check clocks. Install tablets.

  2. Weeks 3–6

    One ward and the allocation desk go live, alongside paper.

  3. Weeks 7–12

    Two more wards join. Results are measured against the week-one baseline.

Talk to us about a pilot

Tell us your hospital, the wards you have in mind and who leads operations and nursing.

hello@ospeli.com Ospeli is in early development. Pilots are arranged through each hospital's own procurement route.