How to Automate Care Logistics

Care Logistics treats the hospital as one moving system

Care Logistics sells two things that only work together: an operational model delivered by its own people, and CareEdge, the platform that keeps the model running once they leave. Hospitals bring it in when patients wait too long in the emergency department, when the beds are full but the building is not, and when nobody can say where the delay starts.

The premise is that a hospital is not a collection of departments. It is one system with a single moving constraint, and that constraint changes through the day. At nine it is imaging turnaround. By two it is a floor with no clean beds. By five it is a rehab facility whose admissions line has stopped being answered.

Which is why the work centres on a command centre: one room, one operating picture, with bed placement, staffing, diagnostics and transport in the same view. The people in it are not making clinical decisions. Their job is to notice that a patient has been ready to go since eleven, and that nobody downstairs knows it.

Every barrier to a discharge has a person chasing it

The command centre knows the patient is stuck. Somebody still has to go and unstick them, and that somebody has a phone.

A case manager rings the skilled nursing facility to ask whether the bed held on Tuesday is still held on Thursday. Another signs into an equipment supplier's site to see whether the home oxygen order was accepted. Somebody books non-emergency transport and waits to be called back. Somebody checks whether the outside imaging centre has released the report. Somebody looks up a guardianship hearing date on a county court site, because a patient with no decision-maker cannot be discharged anywhere at all.

None of it is hard. All of it is slow, and each hour of it is a bed. A patient who is medically finished but administratively unfinished occupies exactly the same room as a patient who needs one, and the emergency department downstairs is where that arithmetic gets settled.

Care Logistics

Held beds confirmed by seven Receiving facilities checked each morning, so a case manager learns the bed fell through at the start of the day instead of the end.

Transport that is genuinely booked Vendor dispatch pages read back, so nobody is dressed and waiting for a van that was never confirmed.

Barriers that arrive with their status The constraint list comes to the huddle with the outside answer attached, rather than as a set of calls somebody has to make.

CareEdge sees everything that happens inside the walls

The platform is genuinely strong at the job it was built for, and it is worth being precise about how much ground it covers.

CareEdge aligns care teams to a length-of-stay target for every patient and tracks progression against it in real time. Its AI agents monitor flow continuously, detect operational constraints as they emerge and recommend a next action inside the guardrails the operational model sets. Every barrier is assigned to an owner rather than left in a huddle note. Predictive analytics point at where the next constraint is likely to appear, and retrospective analytics show which ones keep coming back.

So the hospital knows. It knows the barrier, it knows who owns it, and it knows what the recommended action is.

What it cannot do is take that action, because the action is almost always a login somewhere else. The equipment supplier, the transport vendor, the receiving facility, the outside imaging centre and the county court each run their own system, and not one of them has any reason to report into a hospital's command centre.

Most discharge barriers are somebody else's to clear

Give the command centre something that can open those sites and the barrier list stops being a call list.

Every receiving facility on this week's pending list checked each morning for whether the bed is still held, so the news that it fell through arrives at seven rather than at four. Home oxygen and hospital bed orders confirmed on the supplier's own portal, with anything unaccepted raised while there is still a day to fix it. Non-emergency transport bookings read back from the vendor's dispatch page, so a patient is not dressed and sitting on the edge of the bed waiting for a van nobody confirmed.

Outside imaging and specialist reports collected from practices that never interfaced, so a discharge is not held up by a fax machine. Guardianship and conservatorship dates checked on the county register. Agency cover for tomorrow's short unit confirmed before the evening huddle instead of during it.

One line does not move in a hospital. Gathering runs unattended and on a schedule. Anything that changes a clinical or billing record, or that reaches a patient or a family, is prepared and left for a qualified person to review and send. The fetching goes. The judgement stays.

The chasing is done before the morning huddle

A barrier list is only as useful as the answers sitting next to it, and those answers currently arrive one phone call at a time.

WebRun is an AI agent that works a real Chrome browser, signed in the way your staff are. It opens the supplier portal, the transport vendor's board, the receiving facility's site or the county register, reads what is there, and brings it back as a list with times against it.

It runs on your schedule in your own private environment, sessions are not shared between tools, and a workflow can be locked to an explicit list of sites. You can watch a run and stop it at any point.

The workflows below are already built, and each one names exactly what it opens.