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E14.9
ICD-10-CM
Diabetes

Find comprehensive information on Diabetes Mellitus (DM), including diagnostic criteria, clinical documentation tips for healthcare professionals, and accurate medical coding for Diabetes using ICD-10 and other relevant code sets. Learn about managing and documenting Type 1 Diabetes, Type 2 Diabetes, and other forms of DM. This resource supports accurate diagnosis coding and optimized clinical documentation for diabetes care.

Also known as

Diabetes Mellitus
DM
Sugar Diabetes

Diagnosis Snapshot

Key Facts
  • Definition : A chronic metabolic disorder characterized by elevated blood sugar levels.
  • Clinical Signs : Frequent urination, excessive thirst, unexplained weight loss, increased hunger, fatigue.
  • Common Settings : Primary care clinics, endocrinology departments, diabetes education centers.

Related ICD-10 Code Ranges

Complete code families applicable to AAPC E14.9 Coding
E08-E13

Diabetes mellitus

Covers various types of diabetes mellitus, including type 1, type 2, and gestational.

O24

Diabetes mellitus in pregnancy

Specifies diabetes arising during pregnancy (gestational) or pre-existing diabetes complicating pregnancy.

E16-E16.9

Diabetes mellitus with other specified complications

Diabetes with complications not covered in other categories like ophthalmic or neurological manifestations.

Code-Specific Guidance

Decision Tree for

Follow this step-by-step guide to choose the correct ICD-10 code.

Is the diabetes type 1?

  • Yes

    With ketoacidosis?

  • No

    Is the diabetes type 2?

Code Comparison

Related Codes Comparison

When to use each related code

Description
Group of metabolic disorders with hyperglycemia.
Elevated blood glucose levels without clinical diabetes.
Diabetes during pregnancy impacting both mother and fetus.

Documentation Best Practices

Documentation Checklist
  • Diabetes diagnosis: Type 1 or 2?
  • Document HbA1c level.
  • Diabetes: Date of diagnosis.
  • Document any diabetes complications.
  • Diabetes: Medications and management plan.

Coding and Audit Risks

Common Risks
  • Unspecified Diabetes Type

    Coding DM without specifying type (I, II, etc.) leads to inaccurate severity and treatment reflection, impacting reimbursement and quality metrics. ICD-10 specificity is crucial.

  • Comorbidity Overlooked

    Failing to code diabetic complications (neuropathy, retinopathy) understates patient complexity, impacting risk adjustment and resource allocation. Complete documentation is key.

  • Unconfirmed Gestational DM

    Coding gestational diabetes without confirming postpartum status leads to inaccurate chronic disease tracking and potential overtreatment. Follow-up documentation is required.

Mitigation Tips

Best Practices
  • Annual eye exams, A1c monitoring for diabetic retinopathy (ICD-10-CM E11.3)
  • Control blood glucose, blood pressure, cholesterol (HCCs RAF scores)
  • Regular foot exams, neuropathy assessment (ICD-10-CM G63.2), patient education
  • Medication adherence, lifestyle changes (diet, exercise) for diabetes management
  • Timely diabetes diagnosis documentation for accurate coding, billing (CPT 2000F)

Clinical Decision Support

Checklist
  • Confirm FPG, OGTT, or A1C diagnostic criteria documented.
  • Review patient history for polyuria, polydipsia, polyphagia.
  • Assess for diabetes complications (eye, kidney, nerve).
  • Document diabetes type (1, 2, other) and ICD-10 code (E08-E13).

Reimbursement and Quality Metrics

Impact Summary
  • Diabetes reimbursement hinges on accurate ICD-10-CM coding (E08-E13) and proper documentation of complications.
  • Diabetes quality metrics impact hospital reporting on HbA1c control, eye exams, and nephropathy screening.
  • Coding errors for diabetes with complications (e.g., ketoacidosis, retinopathy) can lead to claim denials.
  • Improved diabetes management and documentation enhance reimbursement and elevate quality scores.

Streamline Your Medical Coding

Let S10.AI help you select the most accurate ICD-10 codes for . Our AI-powered assistant ensures compliance and reduces coding errors.

Frequently Asked Questions

Common Questions and Answers

Q: What are the latest evidence-based diagnostic criteria for differentiating between type 1 diabetes, type 2 diabetes, and other specific types of diabetes in adult patients?

A: Differentiating diabetes types is crucial for tailored management. The American Diabetes Association (ADA) and other international guidelines recommend using a combination of clinical features, autoimmune antibody testing (e.g., GAD65, IA-2, ZnT8), C-peptide levels, and genetic markers. Specifically, type 1 diabetes often presents with acute onset, younger age, leaner body habitus, and positive autoantibodies. Type 2 diabetes typically has a more insidious onset, is associated with older age, obesity, and family history, and exhibits insulin resistance. Other specific types like monogenic diabetes (e.g., MODY) require genetic testing for confirmation. Consider implementing a comprehensive diagnostic algorithm incorporating these factors to ensure accurate classification and personalized treatment strategies. Explore how genetic testing and C-peptide levels can enhance diagnostic accuracy in challenging cases. For further detailed information, refer to the latest ADA Standards of Medical Care in Diabetes.

Q: How can clinicians effectively manage patients with diabetes and comorbid chronic kidney disease (CKD) to minimize cardiovascular risk and improve patient outcomes?

A: Managing diabetes and CKD concurrently requires a multidisciplinary approach. Key strategies include intensive blood glucose control within personalized targets, optimizing blood pressure control with appropriate antihypertensive agents (e.g., ACE inhibitors, ARBs), and implementing renoprotective therapies like SGLT2 inhibitors and GLP-1 receptor agonists, as indicated by current guidelines (KDIGO, ADA). Regular monitoring of renal function (eGFR, albuminuria) is essential. Furthermore, addressing lifestyle factors like diet, exercise, and smoking cessation is critical. Learn more about the latest recommendations for managing cardiovascular risk in patients with diabetes and CKD. Consider implementing a collaborative care model involving nephrologists, endocrinologists, and other specialists to provide holistic patient care and improve long-term outcomes. Explore the role of newer medications in improving cardiorenal outcomes in this high-risk population.

Quick Tips

Practical Coding Tips
  • Code E10-E14 for DM types
  • Document DM complications
  • Specificity improves coding accuracy
  • Query physician for unclear DM
  • Check HbA1c in documentation

Documentation Templates

Patient presents with symptoms suggestive of diabetes mellitus, including polyuria, polydipsia, and polyphagia.  The patient reports recent unexplained weight loss and fatigue.  Fasting blood glucose level was elevated at [Insert Value] mg/dL, confirming the diagnosis of diabetes.  HbA1c was measured at [Insert Value]%, indicating [Interpretation of HbA1c level - e.g., well-controlled, poorly controlled].  Assessment includes review of family history of diabetes, dietary habits, and current physical activity levels.  Differential diagnosis considered prediabetes, gestational diabetes if applicable, and type 1 diabetes.  Type 2 diabetes diagnosis is supported by patient's age, BMI of [Insert Value], and absence of diabetic ketoacidosis.  Patient education provided on diabetes management, including blood glucose monitoring, healthy eating, regular exercise, and medication adherence.  Treatment plan includes initiation of [Medication Name and Dosage] along with lifestyle modifications.  Follow-up appointment scheduled to monitor glycemic control, assess treatment efficacy, and address potential complications such as diabetic neuropathy, nephropathy, and retinopathy.  ICD-10 code E11.9 (Type 2 diabetes mellitus without complications) assigned.  Referral to a certified diabetes educator and registered dietitian is recommended for comprehensive diabetes self-management education and support. This documentation supports medical necessity for prescribed treatment and facilitates accurate medical billing and coding.