HIM 215 Module 4 Project One Example

Project One: From Chart to Payment Group, Four Inpatient Coding Cases at Glenwood Regional Hospital

[Student Name]

Southern New Hampshire University

HIM 215: Coding & Classification Systems

Project One

[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.

Project One: From Chart to Payment Group, Four Inpatient Coding Cases at Glenwood Regional Hospital

Inpatient coding at Glenwood Regional Hospital ends with an MS-DRG, the severity-adjusted payment group Medicare uses, which determines how Medicare and many other payers reimburse the stay. This project explains how codes become an MS-DRG and codes four composite cases drawn from common Glenwood admissions. Each case lists codes with their sequence and present-on-admission indicators, names the MS-DRG and explains what documentation would change the result. All patient details are invented, and codes should be verified against the current year's code set and grouper.

How MS-DRGs Work

The grouper assigns each discharge to a major diagnostic category based on the principal diagnosis, then to a medical or surgical group depending on whether certain procedures were performed. Many groups split into two or three levels depending on secondary diagnoses. A complication or comorbidity, a CC, or a major complication or comorbidity, an MCC, moves a case into a higher-paying level because these conditions increase the resources a stay requires. Some secondary codes do not count as a CC or MCC when paired with certain principal diagnoses, a rule called CC exclusion.

Present on Admission

Each diagnosis also receives a present-on-admission indicator: Y if the condition was present when the order for admission was written, N if it developed during the stay, U if documentation is insufficient, W if the provider cannot clinically determine it and 1 for exempt codes. For certain hospital-acquired conditions, such as some pressure injuries and catheter-associated infections, an N indicator prevents the condition from raising the payment group. Accurate indicators therefore matter for both payment and quality reporting.

Case 1: Sepsis With Acute Kidney Failure

A 71-year-old is admitted from the emergency department with fever, low blood pressure that responds to fluids and a rising creatinine. The physician documents sepsis due to Escherichia coli urinary tract infection with acute kidney failure, all present on admission. Following the sepsis guideline, the systemic infection is principal: A41.51. Because sepsis is accompanied by acute organ dysfunction, the case represents severe sepsis, reported with R65.20, severe sepsis without septic shock, along with N39.0 for the urinary tract infection and N17.9 for acute kidney failure, unspecified. The MS-DRG is 871, septicemia or severe sepsis without mechanical ventilation over 96 hours, with MCC.

Table 1. Case 1 Codes

Note. Composite case; verify codes and grouping with the current year's software.

Case 1: The Clinical Validation Question

This is exactly the type of case payers now deny. Many payers apply the Sepsis-3 definition, which requires organ dysfunction measured by specific scores, while coding rules accept the provider's documented diagnosis. Rhee et al. (2017) showed that sepsis rose sharply in claims data while clinical measures stayed stable, which helps explain payer skepticism. Coders do not overrule physicians, but Glenwood's clinical documentation specialists now review sepsis charts before billing and query the physician when the record lacks clinical indicators, such as lactate levels or organ dysfunction, that support the diagnosis.

Case 2: Pneumonia, Two Versions

A 66-year-old with chronic obstructive pulmonary disease and type 2 diabetes is admitted with community-acquired pneumonia, organism not identified, treated with intravenous antibiotics. The codes are J18.9, pneumonia, unspecified organism, as principal, with J44.9 for the lung disease and E11.9 for the diabetes. Neither secondary is a CC, so the MS-DRG is 195, simple pneumonia and pleurisy without CC or MCC.

Case 2: When Documentation Adds Detail

Suppose the physician's progress note describes an oxygen saturation of 84% on room air, increased work of breathing and a new need for high-flow oxygen, and documents acute on chronic hypoxic respiratory failure. Adding J96.21 as a secondary diagnosis, an MCC, moves the case to MS-DRG 193, simple pneumonia and pleurisy with MCC. If the respiratory failure were the main reason for admission, guidelines on sequencing could make it principal instead, which would move the case to a respiratory failure group. When the documentation leaves that unclear, a compliant query asks the physician which condition occasioned the admission.

Table 2. Case 2 Versions

Note. Composite case; the respiratory failure diagnosis must be documented and clinically supported.

Why Case 2 Deserves Caution

Differences like these create incentives. Silverman and Skinner (2004) found that coding of Medicare pneumonia admissions shifted toward the highest-paying respiratory groups during the 1990s, especially at for-profit hospitals, a pattern consistent with upcoding. The lesson for Glenwood is that the respiratory failure code belongs on the claim only when the physician documents it and the clinical record supports it.

Case 3: Total Knee Replacement

A 68-year-old with primary osteoarthritis of the right knee undergoes a cemented total knee replacement through an open incision, with no significant complications. The principal diagnosis, M17.11, captures primary wear-and-tear arthritis confined to the right knee. The procedure is 0SRC0J9, replacement of right knee joint with synthetic substitute, cemented, open approach. With no MCC, the case groups to MS-DRG 470, major hip and knee joint replacement or reattachment of lower extremity without MCC. Because Medicare now allows many knee replacements in the outpatient setting, inpatient cases like this one require documentation of why inpatient care was needed.

Case 4: Appendectomy

A 34-year-old is admitted with acute appendicitis without perforation, abscess or peritonitis and undergoes a laparoscopic appendectomy. The principal diagnosis is K35.80, unspecified acute appendicitis, and the procedure is 0DTJ4ZZ. Without a complicated principal diagnosis and without a CC or MCC, the case groups to MS-DRG 343, appendectomy without complicated principal diagnosis without CC or MCC. If the pathology report later confirmed perforation and the surgeon documented it, the principal diagnosis would change and the case would move to the complicated appendectomy groups.

Table 3. Cases 3 and 4

Note. Composite cases; confirm with the current year's grouper.

Common Threads

Across the four cases, the MS-DRG depended on three things: choosing the principal diagnosis by guideline, capturing secondary diagnoses that meet reporting criteria and documentation specific enough to support them. O'Malley et al. (2005) placed documentation and coder training among the main sources of coding error, and Cheng et al. (2009) found that documentation gaps shifted payment groups in both directions. Coding well means neither leaving supported conditions off the claim nor adding unsupported ones.

Lessons for Glenwood's Audit Rate

Glenwood's 91% MS-DRG agreement rate means about one case in eleven was grouped differently by the auditor. The cases above suggest where disagreements arise: sepsis sequencing and validation, respiratory failure as a principal or secondary diagnosis and procedure details such as approach. Targeted education and pre-bill review of these case types should lift agreement toward the 95% goal.

Conclusion

Four cases show how codes, sequencing and present-on-admission indicators become a payment group, and how documentation can move a case between groups. Accurate coding follows the guidelines, respects the physician's documentation and uses compliant queries and clinical validation when the record is unclear. Project Two will build these lessons into a coding quality audit plan.

References

Cheng, P., Gilchrist, A., Robinson, K. M., & Paul, L. (2009). The risk and consequences of clinical miscoding due to inadequate medical documentation: A case study of the impact on health services funding. Health Information Management Journal, 38(1), 35-46. https://doi.org/10.1177/183335830903800105

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