Every Funded Initiative Hides the Ones You Skipped

Sep 30

6 min read

Somewhere in every large health system, a director of informatics is looking at a list.

Two dozen requests, from nine departments, all waiting on the same data team. Revenue-cycle wants a denial-prevention build. Nursing wants demand forecasting. A service line wants an imaging tool. Population health wants risk stratification. Each request is real. Each one is justified. Each one has a sponsor who believes it is the most important thing on the list.

The director can fund three of them this year. Maybe four.

The hard part is not evaluating any single request. The team can do that. The hard part is the question none of the requests answer on their own: if we build this one, what are we giving up by not building that one?

That question has a name. It is opportunity cost, the value of the best alternative you did not choose. It is the first thing taught in any finance course. It is also the most underweighted variable in health system capital planning. Not because leaders fail to understand it, but because their process cannot show it to them.

Opportunity cost is a comparison, and the comparison never happens

Opportunity cost is not a number you can read off a business case. It is a subtraction: the value of what you funded, minus the value of the best thing you funded instead of. That makes it a comparison, and a comparison needs the competing options standing on the same ground at the same time.

They almost never do.

A denial-prevention build is scored in recovered cash. A staffing model is scored in agency hours avoided. A care-coordination effort is scored in readmissions. A shared-savings build is scored in contract yield. Four requests, four definitions of value, four time horizons, four sponsors. You cannot subtract one from another. So the list is never ranked. It is worked in the order the cases matured and the sponsors pushed.

This is why opportunity cost stays invisible. It is not hiding. It was never computed, because the process was never built to compute it.

It is worth being precise about the mechanics, because the fix follows from the diagnosis. There are six reasons the opportunity cost across a portfolio of initiatives stays out of view.

There is no common denominator.
Competing initiatives arrive in the units their sponsors chose. Without one shared basis, leadership is not comparing options. It is comparing presentations.
The full list is never assembled.
Requests surface one at a time, championed separately. The initiative that would have been the best use of the dollar, but that no one packaged, is an invisible competitor. You cannot weigh against an option that never reached the table.
Funding is sequential, not simultaneous.
Capacity gets committed as cases mature, across a year, not in one clearing moment. First credible case wins the slot. By the time a stronger use of the same capacity appears, the capacity is gone.
The road not funded leaves no record.
The initiative you approve gets a charter, a budget, and an owner. The one you passed over gets nothing. No artifact records what you declined, or why. The loss is never written down, so it is never revisited.
The loop never closes.
A year later, no one reconciles what the funded initiative returned against what the passed-over one would have. The counterfactual is unobservable and unowned. The organization never learns the real price of its choices, and the next cycle repeats blind.
And so the cost becomes deniable.
When a senior voice redirects the capital, the opportunity cost of that override is ambient and un-attributable. No one has to defend, on the record, what the system gave up. An override against an invisible cost is free. That is the real reason the best analysis so often loses to the loudest voice in the room. Not that the analysis was weak. That ignoring it cost nothing.

Deloitte's work on measuring the return on digital investment in health care names the root of this directly. The problem is not that the data is missing. It is that organizations lack a consistent framework to identify, quantify, and compare the value of competing investments. The data is there. The common basis for comparison is not. (deloitte.com)

That has been the case until we built a solution for it.

The field is full of wins, and that is the trap

Here is the part that makes this hard to see from the inside.

Walk that same health system and you will find a portfolio of genuine wins. The revenue-cycle team stood up denial prevention and watched first-pass yield climb. Nursing built demand forecasting and pulled agency hours down. A deterioration model is catching sepsis earlier than the old pathway did. Documentation runs on ambient capture now. A shared-savings model finally reads claims and clinical data together. Every one of those is hard to do, and every one of them worked.

That track record is real, and it deserves respect. The field has proven, many times over, that it can make an individual initiative pay.

But a portfolio full of individual wins is exactly what hides the opportunity cost. Because each initiative cleared its own bar, no one ever had to ask the harder question: of everything we could have funded, was this the best use of the capacity? Each win looks like a good decision in isolation. Whether the collection was the best one available is a question no one is positioned to ask. The initiatives were never on one comparable basis to begin with.

You see the cost most clearly when a lower-return effort gets funded ahead of a higher-return one, for reasons that have nothing to do with return. An imaging tool ships because a service-line chief championed it and the case was ready. A denial build worth several times the payback waits two more quarters, because no one turned it into something the room could act on. Both look reasonable in the moment. Together they are expensive. The system spent scarce capacity on the smaller prize, because the bigger prize was never on the same table to lose to it.

The instinct, when value leaks, is to buy another initiative. More tooling. Another model. The evidence points the other way. The next increment of value will not come from the twenty-sixth initiative. It will come from the first honest ranking of the twenty-five already competing for the same team.

What changes when the portfolio sits on one basis

Closing this gap does not require a bigger analytics investment or a new governance binder. It requires one thing the current process lacks: a shared basis on which every competing initiative is scored, compared, and ranked. Then the trade becomes visible before the capacity is spent.

When that basis exists, three things change.

The initiatives become comparable. Every request is evaluated on the same definition of value, the same assumption structure, the same scoring logic. The better-packaged initiative stops beating the better initiative.
The decision becomes defensible. The score traces to explicit, challengeable assumptions. When a leader asks why this one and not that one, the answer is on the record, not in someone's head. Judgment still belongs to the leaders, where it should. What changes is that the override now happens in the open, against the ranking, and has to be defended. Ignoring the best option is no longer free.
The decision becomes durable. The logic survives the meeting. Next cycle rescores against the same basis instead of rebuilding from scratch, and last cycle's realized results become the input that sharpens the next. Decision quality compounds instead of resetting to zero.

This is not a hypothesis. Premier's account of Kaleida Health is one of the clearest documented examples. A disciplined, repeatable evaluation process, built on common logic and consistent criteria, produced more than $17.7M in savings in one year, and more than $75M over five. The mechanism was not a new tool. It was a decision structure that let competing priorities be compared on shared terms. Capital moved to the highest-return options, not the most persuasively argued ones. (premierinc.com)

The inverse is the story most systems are living, and it does not look like a failure. It looks like a year of individually defensible decisions that collectively underperform, with the shortfall written off to execution. McKinsey's research on why even successful change efforts fall short documents how much value that pattern leaves on the table. Much of that loss is not downstream. It was locked in at the moment of decision, by a process that could not surface the right trade-off. (mckinsey.com)

Back to the list

Return to the director of informatics and the two dozen requests.

They do not need a better pitch for any single one. They need the one thing no report on their desk gives them today: all of it, on one comparable basis, ranked, with the value of the best unfunded option visible before the decision is made.

That is what decision infrastructure is. Not another advisor at the table, and not another initiative on the list, but the basis the whole list is finally weighed on. It is the difference between a portfolio of wins and the best portfolio available.

The wins are real. The question worth asking, before the next one is funded, is what it costs you.