Which administrative work is worth automating?

The work that is repeated identically and is expensive when it goes wrong. Claim preparation and validation, eligibility checks, routing and escalation all qualify. Work that requires judgement each time does not, and automating it anyway produces a process people route around.

How quickly can a workflow be changed?

The design goal is moments rather than a release cycle. That matters because administrative rules change with regulation and with each payer contract, so a workflow that needs engineering time to change is a workflow that stays wrong for a quarter.

Why is AI adoption growing on the administrative side?

Because the clinical wins get the attention but the administrative volume is larger. Hospitals and other providers are adopting AI-driven informatics across operations, and deep learning is being applied in medical imaging, disease diagnostics and drug innovation at the same time — the operational tier simply has more repetitions to remove.

Where do real-time devices fit?

Sensors and devices tracking a patient status in real time feed the same operational picture the workflows run on. An escalation triggered by a measurement is only possible if the measurement reaches the workflow, which is why monitoring and automation belong in one capability.

Does this need a new system?

Not usually. Administrative automation works best layered over the systems already running the process, because replacing them is a multi-year programme and the workflow problem is immediate.

Intelligent Administrative Workflow Assistance

Driving the Growth with Healthcare Informatics

The expanding selection of AI-driven healthcare informatics solutions and healthcare operational support in hospitals and other healthcare service providers is expected to drive growth in the services segment over the coming years.

The growing adoption of deep learning in various healthcare applications, especially in medical imaging, disease diagnostics, and drug discovery, and the use of different sensors and devices to track a patient’s health status in real-time are enhancing the growth of the business.

Growth in the medical imaging and diagnostics segment can be attributed to factors such as the availability of a considerable volume of imaging data, and benefits offered by NHS AI solutions to radiologists in diagnosis and treatment planning.

Design & automate healthcare business workflows in moments. Boost efficiency with a reliable, no-code workflow program.

Delivering the Associated Patient Care

Nowadays, technology applications promote healthier behaviour in people and support the proactive control of a healthy lifestyle. Additionally, artificial intelligence increases the ability of healthcare professionals to understand better the day-to-day patterns and needs of the people they care for. With that knowledge, they can give better feedback, direction, and support for staying fit.

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How this works with the rest of the suite

NANO RCM
The revenue cycle is the largest administrative workflow in a provider, and the one where rework is most measurable.
NANO NEM
An automated workflow still needs somebody told when it stalls, which is what escalation is for.
NANO CSS
Claim scrubbing is the clearest case of exhaustive repetitive checking that software does better than people.
NANO MAS
Auditing shows where the administrative process is failing across the whole claim set rather than in one case.

Frequently asked questions

Which administrative work is worth automating?: The work that is repeated identically and is expensive when it goes wrong. Claim preparation and validation, eligibility checks, routing and escalation all qualify. Work that requires judgement each time does not, and automating it anyway produces a process people route around.
How quickly can a workflow be changed?: The design goal is moments rather than a release cycle. That matters because administrative rules change with regulation and with each payer contract, so a workflow that needs engineering time to change is a workflow that stays wrong for a quarter.
Why is AI adoption growing on the administrative side?: Because the clinical wins get the attention but the administrative volume is larger. Hospitals and other providers are adopting AI-driven informatics across operations, and deep learning is being applied in medical imaging, disease diagnostics and drug innovation at the same time — the operational tier simply has more repetitions to remove.
Where do real-time devices fit?: Sensors and devices tracking a patient status in real time feed the same operational picture the workflows run on. An escalation triggered by a measurement is only possible if the measurement reaches the workflow, which is why monitoring and automation belong in one capability.
Does this need a new system?: Not usually. Administrative automation works best layered over the systems already running the process, because replacing them is a multi-year programme and the workflow problem is immediate.