Healthcare AI needs a System of Work

A referral arrives. A patient needs care. The health system has an EHR, scheduling software and a team responsible for connecting that patient to a specialist.

Yet someone still has to read the referral, check requirements, chase missing information, reach the patient and secure an appointment.

Every application can be working exactly as designed while the patient waits.

For an access leader, that means a backlog. For a CFO, it can mean unused capacity and lost revenue. For care teams, it means more time coordinating care and less time delivering it.

Healthcare has digitized its information. People still carry much of the responsibility for moving the work forward.

AI gives us the opportunity to change that operating model.

From individual agents to a System of Work

A System of Work coordinates people, AI agents and existing applications to complete operational workflows. It connects execution, exception handling, governance and performance measurement, with people accountable for decisions and changes.

Consider the referral. Reading it is one step. Getting the patient scheduled requires identifying the patient, checking requirements, obtaining missing information, finding an appropriate appointment and resolving exceptions.

An agent that reads the document saves time. A coordinated workflow that carries it through to an appointment creates capacity.

That distinction should shape how health systems evaluate AI.

A scheduling call can be answered while the patient remains unscheduled. A denial can be classified while the claim remains unresolved. A discharge checklist can be updated while an administrative barrier still delays the patient’s next step.

The work needs an owner all the way through to the outcome.

Measure what gets better

Operators need to connect AI activity to operational performance.

• Referrals should be measured by time to appointment, referral conversion, unresolved backlog.
• Discharge coordination should be measured by time to resolve administrative barriers, staff coordination burden.
• Denials should be measured by resolution time, collections, cost per resolved case. 

Hours saved matter. What those hours make possible matters more: additional patients served, less overtime, lower outsourcing expense or capacity for work the team could never reach.

This is the promise of an elastic workforce: operational capacity that can expand with demand.

Start where work is stuck

A faxed referral may be an outdated starting point. It is still how a patient enters the system today.

Waiting for every referring practice to change its process leaves that patient waiting, too.

Start with the existing pathway. Remove manual burden. Make the handoffs visible. Then improve the pathway using what execution reveals.

The people closest to the work should guide that process. A referral coordinator knows which missing detail causes repeated delays. A nurse knows which exception needs immediate attention. Their expertise should determine how agents operate and when they escalate.

Accountability makes speed possible

At NKC Health, a workflow was being prepared to send headache questionnaires to about 250 patients each week.

During a review before launch, Notable’s Flow Compass identified a configuration detail that needed adjusting so patients’ answers would reach the chart. The team corrected it before go-live.

Collecting the answers was only part of the job. Making them available to the physician completed the handoff.

That example captures what running an AI workforce requires: visibility into the entire workflow, testing before deployment and people empowered to approve changes.

Flow Compass brings those capabilities together with workflow planning, building, performance analysis and troubleshooting. Operators can understand what is working, investigate what failed and determine what to improve next.

Every improvement should carry forward

A better referral workflow contains valuable knowledge about requirements, exceptions and handoffs. The next team should be able to build on it.

Through the Notable Network, healthcare Builders share expertise and reusable approaches that organizations adapt to their own patients, policies and technology. Each organization can start further ahead.

Notable already delivers more than 3.2 million hours saved annually across our partners. The opportunity ahead is to make that capacity continuously more useful, dependable and scalable.

Health system leaders should expect their AI investments to shorten queues, resolve handoffs and give caregivers time back.

The standard for healthcare AI should be simple: patients get care sooner, and teams can accomplish more. That is what a System of Work must deliver.

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