Healthcare Administration & Operations / Healthcare IT
Sindhuja K
March 12, 2026 • 5 min read
A price list with a few thousand-line items has room for more than one kind of mistake. Picture a hospital’s full Schedule of Charges. Procedure tariffs, room rent categories, consumables, surgeon fees, laboratory investigations, package rates, all built up over years, often across different people, different departments, different software, sometimes even different facilities that later merged. Somewhere in a list that size, the same service ends up listed twice. Maybe under a slightly different name. Maybe with a different amount attached to each entry.
This is not a surprising thing to find. It is what happens to any large, manually maintained catalogue over time. Ask a librarian, a warehouse manager, or anyone who has ever cleaned up a shared spreadsheet, duplicates are not a sign that something dishonest happened. They are a sign that a lot of people touched the same list over a long period.
What this actually looks like
In one hospital Schedule of Charges we reviewed, running to over 3,000-line items, a surgical procedure, Grade II LGI Therapeutic surgery charges, appeared twice. The first entry priced it at roughly ₹10,450 at the base room category, rising to ₹26,500 at the top tier. The second entry, same exact procedure name, priced it at roughly ₹17,500 at the base tier, rising to ₹44,400 at the top, close to 70 percent higher at every single room category.
Neither entry had been flagged during the hospital’s own manual review of the sheet. That is not a criticism of the reviewer. It is the point. In a document this size, two rows with an identical name and a meaningfully different price are easy to miss, even for someone reading carefully, because nothing about either row looks wrong in isolation. It only becomes visible when the two are seen side by side.
Where it becomes a problem
The trouble is not that a duplicate exists. The trouble is what happens next, quietly, without anyone deciding it should.
If two entries for the same service carry two different amounts, whichever one gets billed depends on which one someone happens to pick, at a billing desk that processes hundreds of bills a day, without the time to cross-check every line against every other. If it is the higher one, there is no way to tell whether that was a deliberate choice or simply the entry that came up first. And if questioned later, both entries are technically real, both exist in the approved rate list. Nobody has to have intended anything for this to cause a dispute.
This is exactly why calling it fraud misses the point. Fraud implies intent, and intent is usually impossible to establish from a spreadsheet. What is actually happening is simpler and far more common: a gap in tariff governance that nobody has caught yet, sitting quietly in a document nobody re-reads line by line once it is finalised.
Catching it without accusing anyone
The fix is not an investigation. It is a governance check, the same kind any well-run rate card needs, whether the entry in question is a procedure tariff, a room rent category, a consumable charge, a surgeon fee grade, or a lab investigation rate.
When a rate card is being built or updated, the system can flag when two entries look like they might be describing the same thing, an identical service name with two different rates, like the Grade II LGI Therapeutic example above, or two very similarly worded entries that may or may not be the same service. That flag is not a verdict. It is a question: is this intentional, or did it slip through?
Often, the answer is simple. Two departments named a similar-sounding procedure slightly differently on purpose, because they genuinely are different services. In that case, the hospital can confirm that, add a short note explaining why, and move on. Nothing gets forced. Nothing gets deleted without reason. The hospital, as the party who understands its own services best, gets the final say, with the flag and the explanation both kept-on record.
What this does is turn an invisible risk into a visible, resolved decision. Instead of a silent ambiguity that only surfaces during a dispute months later, it becomes a documented choice made at the time the rate card was set, by the people who actually know what the entries mean. That record, not the absence of any duplicates at all, is what makes a rate card defensible.
Why this benefits both sides, not just one
A rate card that has been through this kind of governance check is stronger for everyone who relies on it. Hospitals get a cleaner, more defensible tariff, one that holds up when questioned instead of raising eyebrows. Insurers get more confidence in the rate cards they are working from, since ambiguity has already been resolved rather than left to chance. And when a claim is eventually reviewed, whoever is looking at it is looking at a rate card that has already answered its own obvious questions, rather than one that raises new ones.
None of this requires deciding, in advance, that anyone did anything wrong. It only requires accepting that any list built by people, over years, at scale, across procedure tariffs, room categories, consumables, surgeon fees, and lab charges alike, will develop small inconsistencies, and that catching those early is far less costly, and far less adversarial, than catching them after a claim has already been paid, or rejected.
Where this fits into a larger picture
Duplicate entries are usually a data quality issue that should be identified, reviewed, documented, and resolved, not automatically treated as evidence of wrongdoing. That is the right stance for a technology partner working alongside hospitals, not against them.
At Tecforz, we think about this as tariff governance, not policing. A rate card platform should help a hospital see ambiguity before it becomes a dispute, keep a documented trail of every decision made about it, and leave the hospital in full control of its own pricing. Duplicate checking is one small, concrete piece of that larger goal, rate cards that are transparent, defensible, and trusted by every hospital, insurer, and auditor who has to rely on them.
Preventing an ambiguity is a much smaller problem than resolving a dispute. That is really all this is about.