CodeMD-AI-driven ICD-10 code assistant

Example

A user inputs 'diabetes' as the search term. CodeMD asks whether it is Type 1 or Type 2. Once Type 2 is selected, it continues to ask whether the diabetes involves complications like nephropathy or retinopathy, narrowing down the search until the most specific code is identified.

Scenario

A medical coder in a hospital is tasked with documenting a patient’s condition of Type 2 diabetes with chronic kidney disease. CodeMD helps them avoid sifting through hundreds of diabetes-related codes by guiding them through relevant questions, quickly identifying E11.22 (Type 2 diabetes mellitus with diabetic chronic kidney disease).

Example

A user searches for 'hypertension'. CodeMD prompts follow-up questions about whether it is essential (primary) hypertension or secondary to other causes, helping pinpoint whether to use I10 for primary hypertension or a more specific code for secondary hypertension.

Scenario

In an outpatient clinic, a nurse is entering data for a patient with a history of secondary hypertension due to renal artery stenosis. Instead of manually searching through all hypertension-related codes, CodeMD asks targeted questions and directs the nurse to I15.0 (Renovascular hypertension), saving time and improving accuracy.

Example

When a user searches for 'COPD', CodeMD automatically expands the acronym to 'chronic obstructive pulmonary disease' and returns relevant ICD-10 codes for that condition.

Scenario

A general practitioner quickly types 'COPD' into the system while documenting a patient’s diagnosis. Instead of needing to enter the full name, CodeMD expands the acronym and asks follow-up questions about whether there are exacerbations, leading to the selection of J44.1 (Chronic obstructive pulmonary disease with (acute) exacerbation).