Report to Dr. Aaron Stein:

Chart Reviewer

— I can help a lot with legitimate, compliant ways to ensure the hospital receives the full, accurate reimbursement it’s entitled to by improving documentation, coding accuracy, and revenue-integrity processes. Below I’ll give you a practical, hospital-focused playbook (with examples and templates) you can use as the basis for a compliant DRG/CDI/coding program.

I can’t help with techniques for upcoding or any advice intended to misrepresent care to get higher payment — that would be illegal and unethical. Upcoding and intentional misrepresentation are specifically targeted by HHS-OIG and other enforcement bodies and can lead to civil/criminal penalties for hospitals and individuals. Office of Inspector General+1

 

 

Quick summary (why this helps)

Accurate reimbursement usually fails not because hospitals are trying to cheat, but because documentation is incomplete, ambiguous, or missing clinically relevant comorbidities/complications. Fixing documentation and coder workflows increases appropriate revenue while staying compliant. See CMS guidance on MS-DRG grouping rules and the role of POA, and OIG guidance on compliance risks. CMS+2CMS+2

 

Compliant revenue-optimization playbook (practical steps)                

 

1) Strengthen Clinical Documentation Improvement (CDI)

  • Create or expand a CDI team (nurse/clinical analyst + physician advisor) focused on inpatient documentation accuracy, not “higher billing.” CDI should identify missing specificity (e.g., type of heart failure, organism for sepsis, malnutrition severity) and engage physicians with compliant queries. AHIMA and ACDIS provide best-practice toolkits for CDI/query programs. AHIMA+2AHIMA+2

Actions:

  • Daily/near-real-time reviews on high-risk DRGs (sepsis, respiratory failure, GI bleed, CHF, acute kidney injury, malnutrition).
  • Monthly education sessions with physicians on the clinical documentation elements that change DRG/CC/MCC capture.

2) Implement a compliant physician-query program

  • Use a standard, non-leading query format that clarifies facts already in the chart (not to suggest diagnoses). Follow AHIMA/ACDIS guidance for wording, documentation and escalation. Keep queries factual: “Please clarify whether patient X had documented acute kidney injury vs chronic kidney disease exacerbation,” not “Please confirm AKI so we can code…” ACDIS+1

I’ll include a short compliant query template below you can use.

3) Target common missed or under-documented comorbidities

Focus audits on diagnoses that commonly affect DRG assignment or add CC/MCC status:

  • Acute organ dysfunctions (acute kidney injury, acute respiratory failure, shock, sepsis).
  • Malnutrition (and severity).
  • Acute blood loss/anemia requiring transfusion.
  • Diabetes with complications, acute on chronic heart failure, delirium, pressure ulcers, deep venous thrombosis, COVID/viral pneumonitis when applicable.
    Build a short checklist of “did we document X?” for coders/CDI reviewers. (Use clinical criteria to ensure accuracy.) SCP Health+1

4) Ensure coding staff education and coder-physician collaboration

  • Regular coder training on ICD-10-CM specificity requirements, ICD-10-PCS (procedures), and MS-DRG grouper logic. Use CMS/MS-DRG references and state Medicaid guidance. CMS+1

5) Use routine audits and feedback loops (revenue integrity)

  • Monthly internal coding audits (sampled by DRG and by service line) to find patterns of missed documentation, then feedback to departments. Track metrics: query response rate, query accuracy, percent of cases changing DRG, case mix index (CMI) trends, and denial/recovery rates.

6) Clarify Present-On-Admission (POA) and sequencing rules

  • POA indicators and correct principal diagnosis sequencing can change MS-DRG assignment. Make sure medical teams and coders understand what must be considered POA and how to document. Use CMS UB-04/ICD-10 guidelines. CMS+1

7) Coordinate with compliance, legal, and payer relations

  • Run any documentation improvements through the hospital compliance office and legal counsel. If you find systemic gaps, work with payers (including Medicaid) to clarify coding expectations and avoid later denials or audits. OIG guidance recommends proactively maintaining a compliance program. Federal Register+1

Actionable items you can implement now (checklist)

  1. Start a 30-day pilot: CDI reviewers perform daily review for 5 high-volume/high-variance DRGs (pick based on Palisades’ data).
  2. Deploy a compliant query template (example below).
  3. Run a 3-month retrospective audit on last 500 Medicaid discharges: identify top 10 diagnoses that led to DRG changes when documentation improved.
  4. Monthly coder/physician education meeting and a one-page “documentation cheat sheet” for each specialty.
  5. Implement a dashboard tracking: case mix index, % cases with query, % queries answered, % of DRG changes from queries, and payer denials related to coding.

 

 

Compliant physician query template (example)

Use this as a neutral, non-leading template per AHIMA/ACDIS guidance:

Compliant Clinical Clarification Query
Patient: [Name / MRN / DOB]
Date of admission: [date]
Question (select one that applies):

  • Clarify whether the patient had [acute vs chronic condition] documented in the record (e.g., acute kidney injury vs chronic kidney disease).
  • Clarify the type/organism/location of infection (e.g., sepsis due to urinary source vs bacteremia of unknown source).
  • Confirm severity of [malnutrition, anemia, heart failure exacerbation, respiratory failure] per clinical findings.
    Please provide a response based only on information present in the medical record or your clinical assessment. Document your response in the chart or respond here: _______ (physician signature/date/time).

This format asks for factual clarification and avoids leading language or suggestions about coding or reimbursement. Use your facility’s query form to capture the response in the chart. ACDIS+1

Examples of documentation language physicians can use (compliant)

These are wording examples clinicians can use to improve clarity and coding accuracy:

  • “Acute kidney injury on chronic kidney disease stage 3 — creatinine trended from X to Y consistent with AKI.”
  • “Sepsis secondary to community-acquired pneumonia with hypotension requiring vasopressors.”
  • “Severe protein-calorie malnutrition, consistent with — [objective findings].”
    Emphasize objective findings (labs, vitals, interventions) to support the diagnosis.

Resources / references (authoritative)

  • OIG enforcement and compliance guidance (upcoding risk and enforcement). Office of Inspector General+1
  • CMS MS-DRG classifications and software; POA and coding rules. CMS+1
  • AHIMA / ACDIS CDI and inpatient query toolkits (compliant query practices). AHIMA+2AHIMA+2
  • Practical CDI desk references and sample physician query wording (Optum, AAPC materials). OptumCoding+1