// Healthcare

AI Automations for Healthcare Back Office Operations

Everywhere else the workflow gets designed and the plumbing follows. Here it runs backwards. Three things get settled before anyone can say whether an automation is worth building. Where the data may be processed, which vendor may hold it, and under what contract.

What changes in Healthcare

Everywhere else the workflow is designed and the plumbing follows. Here it runs backwards. Before anyone can say whether an automation is worth building, three things have to be settled. Where the data may be processed, which vendor may hold it, and under what agreement. That answer changes the design, the cost, and sometimes the verdict. So it comes first.

The plumbing decision comes first

There are three boxes and every step of every workflow lands in one of them. Steps that may call a hosted model. Steps that have to run inside your own environment on a model you host. Steps that may only run on data de-identified before it arrived. Which box a step belongs in is a decision your compliance function makes and we ask for it in writing during scoping.

In the United States the framework is HIPAA. A vendor handling protected health information has to be under contract before a single record reaches it. HHS guidance on HIPAA and cloud computing says a provider that processes or stores that data for you is a business associate. That holds even when the data is encrypted and the provider has no key. So a business associate agreement is signed first. In the EU, Article 9 of the GDPR makes health data a special category. Processing it is prohibited unless one of the exceptions in Article 9(2) applies. A model vendor processing it on your behalf is a processor. Article 28 requires a binding contract that limits it to your documented instructions, including on transfers out of the EU. The engineering consequence needs no lawyer. Procurement for a model vendor is a calendar item, frequently longer than the build itself. A project that discovers that in month two has lost month two.

De-identification changes what the workflow can do

Stripping identifiers is a design decision, and it is not a filter bolted onto the front. A referral triage step that never sees a name can still sort by urgency and by specialty. It cannot tell you this is the same person who was here in March. Where that link matters to the outcome, the step moves to a different box and the cost goes up. We decide it per step and write down the reasoning, because the reasoning is what somebody asks for eighteen months later.

The paperwork is the prize

The work worth taking on here is administrative, and a hospital or a clinic group has a great deal of it.

None of it is clinical. All of it is people in a building spending their week re-keying things. It is the first work to fall over when a department is short-staffed.

The record system is not an API you can simply call

The electronic record is a vendor platform. An interface to it means the vendor’s own integration programme, their review, their environments and their schedule. That is a date somebody outside your organisation owns. We design around that. Build against an export or a staging interface while the request is in flight, and keep the model steps independent of the transport. Never put the whole value of an automation behind an integration nobody has approved yet.

The line we do not cross

Nothing we build emits output that reads as clinical advice, triage or a diagnosis. Nothing writes to the record of care without a named person approving that exact text. This excludes several workflows that demo beautifully and you will hear no during scoping instead of at handover.

Where a person stays permanently in the loop, they stay. The approval screen shows the draft, the source document it came from and what the model was unsure about. A clinician who cannot see where a sentence came from will not sign it, and they are right not to.

When it breaks, the clinic still has patients

The manual fallback carries more weight here than in any other work we do. If the referral router is down on a Monday morning, the referrals keep arriving. So the runbook names who does the work by hand, where the queue backs up, and what to check first. Then how a re-run avoids sending the same letter to the same patient twice. We rehearse that path before go-live, with your staff, on an ordinary working day. A fallback nobody has practised is a paragraph in a document, and not a plan.

This is the Healthcare view of AI Automations. That page covers how the work runs whatever the sector.

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