HIM 215 Module 6 Coding Compliance Short Paper Example

Accurate in Both Directions: Queries, Upcoding and Clinical Validation at Glenwood Regional Hospital

[Student Name]

Southern New Hampshire University

HIM 215: Coding & Classification Systems

Module Six Short Paper

[Instructor Name]

[Date]

The organization, setting and figures below are a composite written as a model document. No real employer, client, colleague or patient is described.

Accurate in Both Directions: Queries, Upcoding and Clinical Validation at Glenwood Regional Hospital

Glenwood Regional Hospital's coding manager tells new staff that the goal is never the highest-paying code or the safest-looking code, but the correct one. Compliance means coding what the record supports, asking when it is unclear and refusing to add what it does not say. This paper explains the rules that frame that work, what research shows about coding incentives, how to write a compliant physician query and how clinical validation differs from coding.

The Legal Frame

Codes on a claim are statements of fact to the payer. The federal False Claims Act allows the government to recover triple damages plus penalties for each false claim submitted knowingly, which includes reckless disregard of the truth. HIPAA requires standard code sets and adherence to their official guidelines. Federal inspector general guidance for hospitals lists seven building blocks for a compliance program. In plain terms, a hospital needs rules in writing, a named officer and committee, regular education, a safe way to raise concerns, routine checking of its own claims, fair and even-handed discipline and a plan to fix problems quickly once found.

Upcoding and Undercoding

Upcoding assigns codes that describe a more severe or costly condition or service than the record supports. Undercoding omits supported diagnoses or procedures, lowering payment and making patients look healthier in quality data than they were. Both are inaccurate. Unbundling, billing separately for parts of a service that should be coded together, and misuse of modifiers to bypass edits are related risks in outpatient coding.

What Research Shows About Incentives

Coding responds to money. In the 1990s, according to Silverman and Skinner (2004), hospitals increasingly placed Medicare pneumonia patients in the best-paying respiratory group, and for-profit hospitals moved furthest. Geruso and Layton (2020) found that Medicare Advantage enrollees were coded as sicker than comparable people in traditional Medicare, raising plan payments through more intensive diagnosis coding. Neither study proves individual fraud, but both show that systems reward coding intensity, which is why independent review matters.

When to Query

A query is a question to the provider that asks for clarification so the record is accurate. Queries are appropriate when documentation is conflicting, incomplete, ambiguous or illegible; when clinical indicators suggest a diagnosis the provider has not documented; when the cause-and-effect relationship between conditions is unclear; or when present-on-admission status is uncertain. Queries are not appropriate simply because a different diagnosis would pay more.

What Makes a Query Compliant

Industry guidance from AHIMA and the Association of Clinical Documentation Integrity Specialists describes compliant queries as non-leading. A query should present the relevant clinical indicators from the record, offer reasonable options that include "other" and "clinically undetermined" and never mention payment or quality-score effects. Yes-or-no questions are acceptable only in limited situations, such as confirming present-on-admission status, and must not be used to obtain a new diagnosis. Queries become part of the business record or the medical record according to facility policy.

A Leading and a Compliant Query

Table 1 compares two ways of asking about the same patient, who has pneumonia, a respiratory rate of 30, an oxygen saturation of 86% on room air and a nurse's note that high-flow oxygen was begun overnight. The first query tells the physician what to write and why it matters financially. The second presents the facts and lets the physician decide.

Table 1. Leading Versus Compliant Query

Note. Composite example prepared for staff training.

Clinical Validation Is a Different Question

Under the official guidelines, codes come from what the treating provider wrote, and a coder never supplies a diagnosis of their own. Clinical validation, by contrast, asks whether a documented diagnosis is supported by clinical evidence. Payers perform clinical validation when they review claims, and hospitals increasingly do it before billing. Rhee et al. (2017) found that sepsis grew rapidly in claims data while clinical measures of sepsis stayed stable, suggesting that documentation and coding practices, not only patient illness, drove the rise, and payers have responded with denials.

Glenwood's Response to Sepsis Denials

Glenwood now routes every inpatient chart with a sepsis diagnosis to a clinical documentation specialist before billing. If the record lacks indicators such as organ dysfunction or elevated lactate, the specialist sends a compliant query asking the physician to confirm or clarify the diagnosis with supporting findings. When a payer denies a claim that the record supports, the hospital appeals with a clinical summary and relevant laboratory values. Physicians receive education on documenting the specific findings behind a sepsis diagnosis.

Documentation Improvement Programs

Many compliance problems begin before a coder opens the chart. Clinical documentation integrity programs place nurses or experienced coders on the units to review records while patients are still in the hospital, so questions reach physicians when details are fresh. At Glenwood, two documentation specialists review about 40 charts a day, prioritizing sepsis, respiratory failure, heart failure and malnutrition, where specificity most often affects both payment and quality data. Their success is measured by query response and agreement rates, not by revenue gained, which keeps the program focused on accuracy.

Audits and Monitoring

Internal audits by Glenwood's coding quality team review a sample of charts every month, and an external firm audits annually. Medicare contractors, including recovery audit contractors, and commercial payers conduct their own reviews. O'Malley et al. (2005) described facility quality control as one of the main influences on coding accuracy; regular, well-designed audits catch both upcoding and undercoding before payers do.

Ethics in Daily Work

AHIMA's ethical standards for coding ask coders to apply official guidelines, query when documentation is unclear, refuse to participate in practices that misrepresent care and report concerns. At Glenwood, coders can raise concerns with the compliance officer through an anonymous line, and no coder's performance review includes financial targets such as case mix index.

Conclusion

Coding compliance means accuracy in both directions, protected by a compliance program, non-leading queries, clear separation of clinical validation from coding and regular audits. Research shows that financial incentives shape coding patterns, so hospitals like Glenwood need processes that keep the record, not the payment, at the center. Project Two will design an audit plan that puts these principles into practice.

References

Geruso, M., & Layton, T. (2020). Upcoding: Evidence from Medicare on squishy risk adjustment. Journal of Political Economy, 128(3), 984-1026. https://doi.org/10.1086/704756

O'Malley, K. J., Cook, K. F., Price, M. D., Wildes, K. R., Hurdle, J. F., & Ashton, C. M. (2005). Measuring diagnoses: ICD code accuracy. Health Services Research, 40(5, Pt. 2), 1620-1639. https://doi.org/10.1111/j.1475-6773.2005.00444.x

Rhee, C., Dantes, R., Epstein, L., Murphy, D. J., Seymour, C. W., Iwashyna, T. J., Kadri, S. S., Angus, D. C., Danner, R. L., Fiore, A. E., Jernigan, J. A., Martin, G. S., Septimus, E., Warren, D. K., Karcz, A., Chan, C., Menchaca, J. T., Wang, R., Gruber, S., & Klompas, M. (2017). Incidence and trends of sepsis in US hospitals using clinical vs claims data, 2009-2014. JAMA, 318(13), 1241-1249. https://doi.org/10.1001/jama.2017.13836

Silverman, E., & Skinner, J. (2004). Medicare upcoding and hospital ownership. Journal of Health Economics, 23(2), 369-389. https://doi.org/10.1016/j.jhealeco.2003.09.007