September Healthcare RCM Briefing: 7 Shifts Leaders Should Watch Going Into Q4

Why SOPs Are Essential to Healthcare Operations

Every organisation has SOPs.

They tell employees what to do, in what order and, ideally, what outcome is expected.

They are essential to operational consistency. They support training, quality, compliance, audits and governance.

But modern healthcare operations increasingly require something more.

They require employees to know what to do when reality doesn’t perfectly match the SOP.

And that is where the difference between process documentation and decision intelligence begins.

The Limitations of Traditional SOPs

A traditional SOP is often built around a predictable relationship:

If X happens, perform Y.

For straightforward situations, that works well.

But healthcare operations are rarely completely predictable.

• Payer requirements vary.
• Documentation may be incomplete.
• Accounts may contain unusual circumstances.
• Systems may behave unexpectedly.
• Requirements change.
• Exceptions emerge.
• Information may not be available when a decision needs to be made.

The moment a case moves outside the standard path, the employee needs something the SOP may not provide:

judgement.

When Healthcare Operations Depend on Experience

This is where organisations often become dependent on experienced employees.

• Someone knows what to do because they have seen the situation before.
• Someone knows which payer rule applies.
• Someone knows which document to check.
• Someone knows whether an issue should be corrected, investigated or escalated.

The knowledge exists.

But it may exist primarily in people’s experience rather than in the process itself.

SOP vs Decision Intelligence

That creates an important distinction.

An SOP documents what should happen.

Decision intelligence helps people determine what should happen when circumstances vary.

In practical terms, decision intelligence is the combination of rules, context, data, experience and escalation logic that helps someone make a better operational decision.

Instead of simply saying:

“Do this.”

A more mature process helps answer:

“Given this situation, what should happen next and why?”

Turning Individual Experience Into Organisational Knowledge

Consider a claim that does not fit the normal workflow.

A basic process might simply instruct the employee:

“Escalate to the SME.”

That may resolve the immediate issue.

But it also creates dependency.

Every similar exception continues to move toward the same experienced person. The SME becomes a bottleneck, employees become dependent on escalation, and the organisation continues to rely on individual memory.

A more mature process begins capturing the decision logic.

For example:

• Condition A → Action A
• Condition B → Action B
• Condition C → Check documentation
• None of the above → Escalate

The organisation has now converted part of individual experience into organisational knowledge.

Decision Trees and Guided Workflows

This is where decision trees and guided workflows become particularly valuable.

Imagine a claim issue being identified.

The first question might be whether the required information is available.

If it is, proceed.

If it isn’t, determine where the information should come from.

Then ask whether the information is recoverable.

If it is, obtain and validate it.

If it isn’t, follow the defined escalation path.

The value isn’t in creating a complicated flowchart.

The value is in making the reasoning behind the process visible.

Decision Intelligence and Employee Training

That matters enormously for training as well.

When employees are taught only the standard process, they can become highly effective at predictable cases but uncertain when something changes.

When they understand the decision logic behind the process, they become better equipped to handle variation.

Solving the Knowledge-Transfer Problem

This also addresses one of the most persistent operational risks in healthcare:

the knowledge-transfer problem.

Organisations sometimes discover after an experienced employee leaves that important decisions were never actually documented.

The process existed.

The instructions existed.

But the reasoning didn’t.

The result can be:

• knowledge loss
• inconsistent decisions
• longer training periods
• increased escalations
• variation in quality

Decision intelligence can help close that gap by capturing not just what experts do, but the logic they use to determine why they do it.

Don’t Document Every Possible Scenario

This does not mean turning every experienced employee into a documentation resource or attempting to document every possible scenario.

That would create another problem: enormous SOPs that nobody actually uses.

The objective should be to identify the decisions that matter most.

• Where do employees regularly hesitate?
• Where do SMEs receive repeated escalations?
• Which exceptions create the most rework?
• Which decisions vary between employees?
• Which processes are heavily dependent on individual experience?

Those are the areas where decision logic can create the greatest value.

How Technology Can Strengthen Decision Intelligence

Technology can strengthen this model.

Searchable knowledge bases, guided workflows, decision trees, contextual prompts, automated checks, analytics and AI-assisted knowledge retrieval can make relevant information easier to access at the moment a decision needs to be made.

But technology should support the process rather than compensate for poor process design.

Putting AI on top of an unclear workflow doesn’t automatically create decision intelligence.

It may simply make an unclear workflow faster.

The thinking needs to happen first.

Designing Decision Architecture

A useful way to design such processes is to work backwards from the desired outcome.

Start by asking:

• What outcome are we trying to achieve?
• What decision must be made?
• What information is required to make it?
• What rules apply?
• What meaningful exceptions exist?
• Who owns the decision?
• When should escalation occur?
• How will we know whether the decision was correct?

This approach changes process design from writing instructions to designing decision architecture.

The Future of Healthcare SOPs

And that may become increasingly important as healthcare operations become more technology-enabled.

The SOP of the future may not be a 40-page document that an employee reads once during training and rarely opens again.

It may be a living operational system that brings together:

the rule + the context + the relevant information + the next decision + the escalation path.

In other words, the process becomes available at the moment the employee needs it.

That doesn’t eliminate human judgement.

It makes human judgement more informed and more consistent.

And that is an important distinction.

The Goal of Decision Intelligence

The goal of decision intelligence isn’t to document every possible situation or remove every decision from employees.

It is to make the important decisions easier to navigate, while ensuring that genuinely complex situations reach the right person.

A More Mature Question for Healthcare Organisations

A mature organisation therefore shouldn’t ask only:

“Do we have an SOP for this?”

It should also ask:

“Does our process help people make the right decision when the situation doesn’t follow the standard path?”

Because real-world healthcare rarely follows a perfect script.

SOPs tell people how work should happen.

Decision intelligence helps people navigate when it doesn’t.

And in complex healthcare operations, that difference can determine whether knowledge remains trapped inside individuals—or becomes part of the organisation itself.

Building Better Healthcare Processes

The goal isn’t to document every possible situation.

The goal is to make better decisions easier, more consistent and more repeatable.

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