| Course | C807 Healthcare Compliance |
|---|---|
| Task | Task 1 |
| Paper type | Coding compliance analysis |
| Length | About 1,200 words, 3 pages |
| Format | APA 7 |
| School | Western Governors University (WGU) |
| Program | BS Health Information Management |
| Updated | September 2026 |
Free sample paper for C807 Task 1
Same Patient, Two Rulebooks: Inpatient and Outpatient Coding Compliance at a Composite Regional Hospital
Student Name
Leavitt School of Health, Western Governors University
C807: Healthcare Compliance, Task 1
Course Instructor
Month Day, Year
Same Patient, Two Rulebooks: Inpatient and Outpatient Coding Compliance at a Composite Regional Hospital
Purpose and Setting
This analysis was prepared for a new coding manager at a composite 280-bed regional hospital with an emergency department, same-day surgery center and hospital-based outpatient clinics. The coding team has eleven inpatient coders and eight outpatient coders. Last year an external audit found an inpatient coding accuracy rate of 91% and an outpatient rate of 88%, both below the hospital's 95% target, and the hospital's billing reports showed a rise in two high-weighted diagnosis groups that the compliance committee wants explained. The paper compares inpatient and outpatient coding, explains compliant query practice, identifies the risk areas that draw audits in each setting and sets out a monitoring plan.
Inpatient and Outpatient Coding Compared
Inpatient and outpatient coding differ in their code sets, the guidelines that govern diagnosis selection and the way codes turn into payment. The table summarizes the differences the coding manager needs to keep in view.
| Feature | Inpatient hospital coding | Outpatient hospital coding |
|---|---|---|
| Diagnosis code set | ICD-10-CM | ICD-10-CM |
| Procedure code set | ICD-10-PCS | CPT and HCPCS Level II |
| First-listed diagnosis | Principal diagnosis: the condition established after study to be chiefly responsible for the admission | First-listed diagnosis: the main reason for the encounter |
| Uncertain diagnoses | May be coded as if established when documented as probable or suspected at discharge | Not coded; code signs, symptoms or the reason for the visit instead |
| Payment system | Medicare Severity Diagnosis Related Groups (MS-DRGs) under the inpatient prospective payment system | Ambulatory Payment Classifications (APCs) under the outpatient prospective payment system |
| Main source documents | Entire record of the stay, including physician progress notes and discharge summary | Encounter documentation, orders, procedure notes and results |
| Key edits | MS-DRG grouper logic, present-on-admission indicators | National Correct Coding Initiative edits and medically unlikely edits |
Why the Differences Matter
Two differences have the largest compliance effect. The first is the rule for uncertain diagnoses. In the inpatient setting, a condition documented at discharge as probable, suspected or likely may be coded as if it existed, while in the outpatient setting the coder reports the symptom or finding instead (National Center for Health Statistics, 2025). An outpatient coder who reports suspected pneumonia as pneumonia, or an inpatient coder who fails to report a documented probable diagnosis, both produce inaccurate claims. The second is how codes drive payment. In the inpatient setting, adding a single secondary diagnosis that qualifies as a complication or comorbidity can move a stay into a higher-weighted MS-DRG, which is why inpatient audits focus on secondary diagnoses. In the outpatient setting, payment depends more on procedure codes, modifiers and whether services are bundled, which is why outpatient audits focus on CPT, HCPCS and modifier use.
The patient who arrives in the emergency department and is admitted shows how the two meet. The emergency visit is coded under outpatient rules until the admission order, and the inpatient stay under inpatient rules; for Medicare patients, many outpatient services in the three days before admission are bundled into the inpatient claim. Coders who move between settings need clear rules and regular reminders about which guidelines apply.
Compliant Query Practice
Coders may not assign a diagnosis that the provider has not documented, even when laboratory values or medications suggest it. When documentation is incomplete, conflicting or unclear, the coder or a clinical documentation specialist sends the provider a query. A compliant query presents the relevant clinical facts from the record, asks the provider to clarify and offers reasonable options, including an option such as 'other' or 'unable to determine'. It does not lead the provider toward a particular answer, mention the effect on payment or introduce a diagnosis the clinical facts do not support (American Health Information Management Association & Association of Clinical Documentation Integrity Specialists, 2022).
An example shows the difference. A leading query would read: 'The patient had a sodium of 128. Please document hyponatremia to support the severity of illness.' A compliant query would read: 'Sodium values were 128 on day 1 and 131 on day 2; the patient received fluid restriction. Please clarify whether these findings represent a diagnosis, and if so, document it: hyponatremia, another condition, clinically insignificant finding, or unable to determine.' The second version gives the provider the facts and leaves the judgment where it belongs.
The hospital's query policy should require written or electronic queries kept as part of the business record, a standard template, and periodic review of query rates and responses by provider to identify both documentation gaps and any pattern that suggests leading questions.
Risk Areas
Inpatient risk areas are concentrated in diagnoses that affect MS-DRG assignment: principal diagnosis selection when two conditions compete, sepsis coded without clinical support, acute respiratory failure and severe malnutrition coded from documentation that does not meet clinical criteria, and complications or comorbidities added from abnormal values alone. The Office of Inspector General has reported that Medicare stays billed at the highest severity level increased in the years before the pandemic and recommended closer review of such billing (Office of Inspector General [OIG], 2021). The rise in two high-weighted diagnosis groups at the composite hospital is exactly the pattern that draws that kind of review.
Outpatient risk areas include modifiers used to bypass bundling edits, such as modifier 59 or 25 without a separately identifiable service; evaluation and management levels that do not match documentation; procedures billed without documentation of medical necessity; and drug units billed incorrectly. The National Correct Coding Initiative edits define many code pairs that should not be billed together, and coders must understand when a modifier is appropriate rather than using it to clear an edit (Centers for Medicare & Medicaid Services [CMS], 2025).
Monitoring Plan
The monitoring plan has four parts. First, routine accuracy audits: each coder has ten records reviewed per quarter, selected at random from their work, with a higher sample for coders below 95% accuracy and for new staff. Second, focused audits of high-risk areas: each quarter, the audit team reviews 30 inpatient records from the diagnosis groups that rose last year and 30 outpatient records with modifier 59 or 25. Third, data monitoring: the coding manager reviews the hospital's comparative billing report from Medicare each quarter, along with internal reports of query rates and case mix index by service line, and investigates any area that changes sharply. Fourth, education: audit findings are shared with each coder individually and summarized for the team, and repeated documentation gaps are referred to the clinical documentation program for provider education.
Audits are performed by credentialed auditors who did not code the records, and findings are reported to the compliance committee each quarter. When an audit finds overpayments, the claims are corrected and repaid under the hospital's overpayment policy, and the error rate is used to decide whether a wider review is needed.
Conclusion
Inpatient and outpatient coding share a diagnosis code set but differ in almost everything else: procedure codes, diagnosis selection rules, payment systems and the edits that apply. Compliance depends on coders applying the right rules to the right setting, asking providers compliant questions when documentation is unclear and being monitored closely enough that errors are found and corrected by the hospital before an outside auditor finds them. Accurate coding protects the hospital in both directions: it avoids overpayments that create legal risk and captures legitimate payment for the care provided.
References
American Health Information Management Association & Association of Clinical Documentation Integrity Specialists. (2022). Guidelines for achieving a compliant query practice (2022 update). https://bok.ahima.org/
Centers for Medicare & Medicaid Services. (2025). National Correct Coding Initiative edits. https://www.cms.gov/medicare/coding-billing/national-correct-coding-initiative-ncci-edits
National Center for Health Statistics. (2025). ICD-10-CM official guidelines for coding and reporting FY 2026. Centers for Disease Control and Prevention. https://www.cdc.gov/nchs/icd/icd-10-cm/index.html
Office of Inspector General. (2021). Trend toward more expensive inpatient hospital stays in Medicare emerged before COVID-19 and warrants further scrutiny (OEI-02-18-00380). U.S. Department of Health and Human Services. https://oig.hhs.gov/oei/reports/OEI-02-18-00380.asp
What the C807 Task 1 instructions ask
The first C807 task asks you to analyze coding compliance across care settings. Expect to compare inpatient and outpatient coding, including code sets and guidelines, explain why the differences matter for compliance, describe compliant query practice, identify risk areas and propose monitoring. The setting may be a composite hospital, but the rules must be stated accurately. Evaluators look for code sets named correctly for each setting, differences explained by their compliance effect rather than listed, query practice that follows national guidance and risk areas linked to real audit targets. A general description of coding without the compliance lens will not meet the analysis aspects. Monitoring should be specific enough that a coding manager could put it in place the following month.
How this C807 Task 1 example is built
The analysis opens with its purpose and the hospital's services, then compares inpatient and outpatient coding side by side. A section explains why two differences carry the most risk: uncertain diagnoses may be coded as if confirmed for inpatients but not for outpatients, and procedure code sets differ. The query section describes when and how coders may ask providers for clarification without leading them, citing the national practice brief. Risk areas are split by setting. The monitoring plan combines routine accuracy audits, targeted reviews of high-risk codes, query audits and education, each with a frequency. The conclusion ties the comparison back to what the new manager should watch first.
Where the C807 Task 1 rubric puts the marks
C807 Task 1 aspects are rated competent, approaching competence or not evident. A comparison aspect checks that inpatient and outpatient code sets and guidelines are identified correctly. A significance aspect rewards differences explained by their compliance effect. A query aspect looks for practice that follows national guidance. A risk aspect asks for specific areas in each setting. A monitoring aspect wants audits and education with frequencies and owners. Evaluators check terminology and rules closely, since a misstated guideline is a serious error in a compliance paper. Official guidelines and practice briefs should be cited where rules are described, and risk areas tied to published audit priorities earn more credit than ones drawn from opinion.
C807 Task 1 help: what sends it back
Coding compliance papers come back most often when rules are misstated. Check each guideline, especially uncertain diagnosis rules, against the official source. Second, differences are listed without explaining why they matter for compliance. Say what goes wrong if a coder applies the wrong rule. Third, query practice is described loosely. Explain what makes a query compliant, such as offering clinically supported options without leading. Fourth, monitoring is vague. Name the audit type, sample size, frequency and who reviews results. Finally, keep the audience in mind. A paper written for a new coding manager should end with priorities, not a summary of everything in the coding books. Read the query practice brief before writing that section.
Get a C807 Task 1 example written to your instructions
Send the Task 1 instructions and rubric from your C807 course of study. We write a custom coding compliance analysis to those exact aspects and return it in 24-48h. The first custom sample is free.
More C807 papers
Other Health information sample papers
- D260 Task 1 HIM Environmental Scan
- D190 Task 3 Database Quality Review
- C801 Task 1 Legal Health Record Analysis
- C812 Task 2 Value-based Payment Analysis
C807 Task 1 questions, answered
Which code sets belong in a C807 comparison?
Inpatient hospital coding uses ICD-10-CM for diagnoses and ICD-10-PCS for procedures, grouped into MS-DRGs. Outpatient coding uses ICD-10-CM with CPT and HCPCS Level II, paid largely under the outpatient prospective payment system.
What makes a physician query compliant in C807?
A query that asks for clarification without leading the provider toward a particular answer, offers clinically supported options and is documented. The sample follows national query practice guidance.
How often should coding be audited for C807 Task 1?
Set a routine sample for each coder and targeted reviews for high-risk codes. The sample reviews ten records per coder quarterly and adds focused audits where risk is highest.
Is the C807 hospital in the sample real?
No. The regional hospital and its coding team are hypothetical. The code sets, guidelines and query practice guidance described are real and cited in the paper. Any similarity to a real hospital is coincidental.
Where can I find a free C807 Task 1 sample paper?
The inpatient and outpatient comparison appears above with a comment on each part. Send your C807 instructions and setting, and the first tailored analysis is prepared at no cost.