
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue V, May 2026
selected claim files—25 TPA and 25 Corporate—with additional insights gained from fifteen interviews with
staff in finance, billing, MRD, and insurance departments. Both primary and secondary data sources were used,
including interviews, observations, claim registers, audit reports, and communication logs.
Data collection tools included document reviews, observation checklists, semi-structured interviews, and
structured Excel templates designed to record key financial indicators such as billed amount, approved amount,
deductions, and settlement delays. Analytical methods involved descriptive statistics, comparative and trend
analysis, root cause analysis, and qualitative thematic categorization of staff feedback. The leakage percentage
was calculated using the formula:
(Billed Amount – Settled Amount) / Billed Amount × 100.
The study acknowledges limitations, including its focus on a single hospital, variations in TPA and corporate
policies that affected uniform analysis, and restricted availability of archival claim data. Despite these
constraints, the methodology provides a strong foundation for identifying systemic, operational, and contractual
factors contributing to revenue leakage.
RESULTS AND OBSERVATIONS
Data Analysis and Findings
The analysis shows that hospitals lose around 4–5% of their annual revenue due to claim denials, underpayments,
and billing inefficiencies. A significant contributor is the use of manual processes, where data entry errors alone
lead to nearly 4% revenue loss. Additionally, claim denials have increased and now account for approximately
15% of total submitted claims, affecting both TPA and corporate segments.
Revenue leakage was categorized into five key areas. Coding and billing errors arise from incorrect or
inconsistent use of medical codes, leading to underpayments or rejection of claims. Even small errors, such as
missed CPT adjustments, can reduce settlements by 2–3%. Improper or incomplete documentation is another
major issue, where missing discharge summaries, investigation reports, or authorization forms reduce
reimbursement rates. These problems are more frequent in manual systems.
Claim denials and delays occur due to incomplete patient information, lack of authorization, or late submission.
Delays exceeding 30 days increase accounts receivable and may lead to write-offs. Unbilled or lost claims also
contribute to leakage due to poor tracking and follow-up systems. Lastly, pricing and contract issues arise from
weak negotiation and unclear payer-provider agreements, particularly in corporate cases.
A comparative analysis of 50 patients highlights differences between TPA and corporate claims. TPA claims
show consistent losses due to strict scrutiny, coding errors, and frequent queries, resulting in higher denial rates
(18%) and longer settlement delays (14 days). In contrast, corporate claims have slightly lower denial rates
(13%) but higher average leakage (19%) due to unfavourable contract terms and internal approval delays.
Key observations indicate that coding errors and documentation gaps are the leading causes of leakage across
both claim types. TPA claims involve more audits and queries, increasing delays, while corporate claims suffer
from contract inefficiencies. Even a modest leakage of 12–16% per claim can result in significant financial loss,
especially in high-value cases.
Overall, the findings emphasize that improving billing accuracy, strengthening documentation practices, and
enhancing contract management are essential to reduce revenue leakage and improve hospital financial
performance.
Table: Leakage Sources (20 Patients)