LoopWHI ’26

What the Claims Journey Actually Costs the Household

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Key takeaways

  • Reimbursement is the majority route, not cashless. Of claims with a clean settlement type, 55.3% were reimbursement — the household paid the hospital first and waited for the money back. Only 44.7% were cashless.
  • One claim in five draws a query — the insurer asking for more documents before it pays. On reimbursement claims the query rate is 34.5%; on cashless it is 6.6%. The query is the single largest source of delay in the journey.
  • A query roughly doubles the long-tail wait. A reimbursement claim that draws no query has a 90th-percentile turnaround of 15 days; one that draws a query, 23 days. On cashless the same query pushes the 90th percentile from 32 days to 54.
  • Cashless is the slower route, not the faster one — median 10 days against reimbursement's 6 — because cashless claims are larger, more complex, and more often investigated. The two routes serve different claim sizes: cashless averages ₹74,535 incurred, reimbursement ₹28,348.
  • A queried claim is nearly twice as likely to be rejected — 5.4% repudiation against 2.9% for claims that settle without a query.

Most hospital claims in Loop's broker book settle quickly, and the headline turnaround numbers are good. The reader of a claims-experience page is not, however, the median claim. It is the household that paid a hospital bill out of its own account on the way out of the ward and is now waiting for the insurer to send the money back. That household is the majority case: of the 74,339 claims and ₹320.6 crore of incurred expense in the latest twelve months, 55.3% of the claims with a clean settlement type went through reimbursement rather than cashless. The standard claims dashboard reports an average turnaround and a settlement ratio. What it does not report is who carries the float, who absorbs the document chase, and how those two burdens fall unevenly across the same book.

Reimbursement, not cashless, is how the majority of claims settle#

The first structural fact of the claims journey is the route. Cashless means the insurer settles directly with a network hospital at discharge; the patient pays only the deductions and the non-covered extras. Reimbursement means the household pays the full hospital bill, submits the paperwork afterwards, and waits for the insurer to pay it back.

Settlement route Share of claims
Reimbursement 55.3%
Cashless 44.7%

Reimbursement, not cashless, is the majority route

Share of claims by settlement route — the larger segment is the one where the household pays the hospital first and waits for the money back

55.3%of clean-bucket claims settle by reimbursement
  • Reimbursement — household fronts the money55.3%
  • Cashless — insurer settles at discharge44.7%

Claims with an unambiguous settlement type (the clean two-bucket cut); records with an 'Other' or in-process status are excluded. Latest 12-month window.

The reimbursement majority is not a sign of a broken network. It is a sign of where claims actually originate. Reimbursement claims are smaller and more local: the average reimbursement claim is ₹28,348 of incurred expense, against ₹74,535 for the average cashless claim. The large, planned, surgical admission goes to a network hospital and runs cashless. The smaller, often unplanned admission — the fever that becomes three nights on a drip, the fall, the day-care procedure at the neighbourhood hospital that isn't on the network panel — gets paid by the household and claimed back.

The split therefore encodes a quiet inequality of experience. The household with a planned surgery at a large network hospital is the one most likely to never touch its own money. The household with an unplanned admission at the nearest available hospital is the one most likely to front ₹30,000 and wait.

Most claims settle inside ten days; a tail waits a month or more#

Turnaround time (TAT) is the count of days from claim intimation to settlement. The distribution is strongly front-loaded — but it has a tail.

TAT band Share of claims
0–5 days 39.5%
6–10 days 30.1%
11–15 days 11.5%
16–20 days 5.7%
21–30 days 6.5%
More than 30 days 6.6%

Seven in ten claims settle within ten days — but one in twenty waits a month or more

Share of claims by turnaround band, intimation to settlement

74,339 claims
0–5 days
39.5%
6–10 days
30.1%
11–15 days
11.5%
16–20 days
5.7%
21–30 days
6.5%
More than 30 days
where the experience breaks down
6.6%
Values in %

The 0–5 and 6–10 bands carry the good news. The >30-days band is the household's worst case — for a reimbursement claim, every one of those days is a day out of pocket on a bill already paid. TAT capped to exclude a handful of malformed values above 400 days.

Seven in ten claims settle within ten days. That is a genuinely good number, and it is the number a claims dashboard leads with. The other end of the distribution is the one that shapes how the benefit feels: 6.6% of claims — better than one in twenty — take more than thirty days to settle. For a reimbursement claim, those thirty-plus days are thirty-plus days the household is out of pocket on a bill it has already paid. The average claim does not describe that household. The tail does.

The query is the friction engine, and it sits on the reimbursement route#

The single most consequential event in a claim's life, after the admission itself, is the query — the insurer writing back to ask for more documents, a clarification, a missing report, a discharge summary that reads as incomplete. One claim in five draws one.

Query rate Median TAT 90th-pctile TAT Avg incurred
Cashless 6.6% 10 days 33 days ₹74,535
Reimbursement 34.5% 6 days 18 days ₹28,348

Reimbursement carries five times the query rate — yet settles faster on the median

Query rate by route, beside each route's median and 90th-percentile turnaround

Query rate

Reimbursement
one claim in three queried
34.5%
Cashless
6.6%
Values in %

Turnaround, days

Median TAT90th-percentile TAT
Reimbursement
6 d / 18 d
Cashless
10 d / 33 d
Median TAT versus 90th-percentile TAT, values in days

Average incurred per claim: Cashless ₹74,535 · Reimbursement ₹28,348. The 34.5% query rate is the friction the household feels — and it lands on the route where the household has already paid the hospital.

The query rate on reimbursement claims is 34.5%; on cashless claims it is 6.6%. The gap is structural. A cashless claim has already been examined once, at pre-authorisation, before the patient was even admitted — the insurer has seen the treatment plan and approved it. By the time the bill arrives, most of the questions have been asked and answered. A reimbursement claim arrives cold: the first time the insurer sees the case is when the completed file lands, and the first opportunity to ask for a missing document is after the household has already paid and is already waiting.

The effect of a query on the wait is direct, and it is sharpest exactly where the household is most exposed — the long tail.

Median TAT 90th-pctile TAT
Reimbursement — no query 5 days 15 days
Reimbursement — queried 6 days 23 days
Cashless — no query 10 days 32 days
Cashless — queried 12 days 54 days

The query barely moves the median — it manufactures the long tail

Turnaround with and without a query, by route — the stretch is at the 90th percentile

Median TAT

No queryQueried
Reimbursement
5 d / 6 d
Cashless
10 d / 12 d
No query versus Queried, values in days

90th-percentile TAT

No queryQueried
Reimbursement
15 d / 23 d
Cashless
32 d / 54 d
No query versus Queried, values in days

A query stretches the reimbursement worst case from 15 to 23 days, and the cashless worst case from 32 to 54. Both panels share the same 0–60-day scale so the median panel cannot flatter the story.

On the median, a query costs almost nothing — a day or two. On the 90th percentile, it is decisive. A reimbursement claim's worst-case wait stretches from 15 days to 23 when a query lands; a cashless claim's stretches from 32 days to 54. The query does not slow down the typical claim. It manufactures the long tail. And because the query rate is five times higher on the reimbursement route, the household that is already fronting the money is also the household most likely to be sent back for more paper.

A query also makes the claim more likely to be rejected#

The query is not only a delay. It is correlated with the worst outcome a claim can have — repudiation, the insurer's refusal to pay.

Repudiation rate
Settled without a query 2.9%
Settled after a query 5.4%

A queried claim is nearly twice as likely to be rejected

Repudiation rate by whether the claim drew a query

Settled without a query
2.9%
Settled after a query
5.4%
Values in %

The causation runs both ways and the data cannot separate them. Repudiation is measured across the whole book, where rejected claims carry a status of their own — which is why it appears near-zero within the settled cashless/reimbursement buckets but at 2.9–5.4% across the full population.

A claim that draws a query is rejected 5.4% of the time, against 2.9% for a claim that settles without one — nearly double. The causation runs both ways and the data cannot separate them: some claims are queried because they were always going to be contested, and some are repudiated only after a query exposes a problem the household could not resolve. Either way, for the household, the query is the moment the claim stops being routine. It is the fork where a settlement that was on track becomes a settlement that needs chasing, and a small but real share of those chases end in a no.

Cashless is the slower route, against the intuition#

The reflexive read of cashless is that it is the fast, frictionless option — the patient walks out without paying, the insurer handles the rest. On turnaround, the data says the opposite.

The median cashless claim settles in 10 days; the median reimbursement claim, in 6. At the 90th percentile the gap widens: 33 days for cashless against 18 for reimbursement. The reason is not that cashless is administered worse. It is that the two routes carry different claims. Cashless concentrates the large, surgical, network-hospital admission — ₹74,535 of incurred expense on average, against ₹28,348 for reimbursement. Bigger claims involve more clinical complexity, larger sums to verify, and a higher chance of investigation before the insurer releases payment.

TAT band Cashless Reimbursement
0–5 days 22.6% 48.8%
6–10 days 29.5% 29.0%
11–15 days 16.6% 10.3%
16–20 days 9.8% 3.9%
21–30 days 10.4% 4.0%
More than 30 days 11.1% 4.0%

Nearly half of reimbursement claims settle in five days; under a quarter of cashless do

Share of each route's claims by turnaround band — reimbursement's mass sits in the fastest band, cashless spreads across the slower ones

ReimbursementCashless

The slow tail is overwhelmingly cashless: 11.1% of cashless claims take more than 30 days, against 4.0% of reimbursement. Clean two-bucket cut; TAT capped to exclude malformed values above 400 days.

Nearly half of reimbursement claims settle inside five days; under a quarter of cashless claims do. And the slow tail is overwhelmingly a cashless phenomenon — 11.1% of cashless claims take more than thirty days, against 4.0% of reimbursement. The household experience splits cleanly: the cashless household never pays but waits longer for the case to close; the reimbursement household pays first, then mostly gets the money back quickly — unless a query lands.

Deductions are near-universal, and heaviest on the cashless bill#

Settlement is rarely settlement in full. The insurer pays the covered, eligible portion of the bill; the rest — non-medical consumables, room-rent excess over the policy limit, items outside the cover — is deducted and lands back on the household.

Some deduction is applied to 79.0% of cashless claims and 64.9% of reimbursement claims. The cashless figure is higher because the cashless bill is the large hospital bill, with the most line items and the most room for non-payable extras — the gloves, the syringes, the administrative charges that itemised hospital billing in India is known for. On a cashless claim the deduction is the household's only out-of-pocket cost, and it is visible at discharge. On a reimbursement claim the deduction is the gap between what the household paid and what comes back — money it has already spent and will not recover. The Hospitalization Friction page takes up that deduction in full: it is the ₹98.1 Cr the book never returns to the household.

Query friction varies by what the household is admitted for#

The query rate is not uniform across conditions. The cuts that vary most are clinical, not demographic — the layers of the household (employee, spouse, child, parent) all sit in a narrow 20–24% query band, but the conditions diverge.

Claim category Query rate Median TAT 90th-pctile TAT
Maternity and delivery 31.0% 8 days 23 days
Musculoskeletal, injury and fractures 27.2% 8 days 31 days
Infectious disease and fever 26.5% 8 days 30 days
Respiratory 25.6% 8 days 26 days
Gastrointestinal 25.1% 8 days 28 days
Cardiac and circulatory 21.5% 8 days 29 days
Genitourinary and kidney 18.9% 8 days 26 days
Cancer and oncology 17.7% 8 days 25 days
Eye and cataract 17.5% 8 days 28 days

Maternity queries most; musculoskeletal injury settles slowest

Query rate by claim category, ranked — with each category's median and 90th-percentile turnaround alongside

Maternity and delivery
median 8 d · 90th pctile 23 d
31.0%
Musculoskeletal, injury and fractures
median 8 d · 90th pctile 31 d
27.2%
Infectious disease and fever
median 8 d · 90th pctile 30 d
26.5%
Respiratory
median 8 d · 90th pctile 26 d
25.6%
Gastrointestinal
median 8 d · 90th pctile 28 d
25.1%
Cardiac and circulatory
median 8 d · 90th pctile 29 d
21.5%
Genitourinary and kidney
median 8 d · 90th pctile 26 d
18.9%
Cancer and oncology
median 8 d · 90th pctile 25 d
17.7%
Eye and cataract
median 8 d · 90th pctile 28 d
17.5%
Values in %

Query rate and turnaround are related but not identical: the highest-query category (maternity, 31.0%) is not the slowest-settling one (musculoskeletal injury, 90th percentile 31 days). A high query rate reads as where documentation is hardest to get right the first time, not as the insurer behaving badly.

Maternity carries the highest query rate of any major category, at 31.0%. The reason is documentary, not clinical: a maternity claim requires a specific and unforgiving paper trail — the antenatal records, the exact procedure coding for a delivery, the newborn's details when the admission produces a second patient. Any gap triggers a query. Musculoskeletal injury, infectious disease, and respiratory admissions follow, all above 25%, all of them the unplanned admissions that arrive without a pre-built file. At the other end, the planned and well-codified admissions — cancer, eye and cataract, genitourinary — query least, because the documentation is assembled in advance by the treating hospital.

By contrast, the relationship layer barely moves the query rate. Employee, spouse, child, and parent claims all query between 19.7% and 24.2%, and all settle on a median of seven days. The friction is in what the household is admitted for, not in which member of it is admitted. This is the cut that, having been run, confirms a prior rather than overturning one — worth stating precisely because the natural assumption is that parent claims, being larger and more complex, would be queried more. They are queried slightly less — and as the Family Claims page shows, the parent layer is also the one route where cashless usage exceeds reimbursement, which is part of why it draws fewer queries. The complexity of a parent admission is in its clinical severity, not in its paperwork.

References

  1. 1Insurance Regulatory and Development Authority of India (IRDAI). Annual Report 2023–24 — health insurance claims settlement and repudiation statistics for the Indian market. https://irdai.gov.in
  2. 2Reddy, K. S., Patel, V., Jha, P., Paul, V. K., Kumar, A. K. S., & Dandona, L. (2011). Towards achievement of universal health care in India by 2020: a call to action. The Lancet, 377(9767), 760–768. https://doi.org/10.1016/S0140-6736(10)61960-5
  3. 3Prinja, S., Bahuguna, P., Gupta, I., Chowdhury, S., & Trivedi, M. (2019). Role of insurance in determining utilization of healthcare and financial risk protection in India. PLOS ONE, 14(2), e0211793. https://doi.org/10.1371/journal.pone.0211793
  4. 4Karan, A., Yip, W., & Mahal, A. (2017). Extending health insurance to the poor in India: An impact evaluation of Rashtriya Swasthya Bima Yojana on out-of-pocket spending for healthcare. Social Science & Medicine, 181, 83–92. https://doi.org/10.1016/j.socscimed.2017.03.053