Get Codes

This package may be utilized to obtain ICD-9-CM, ICD-10-CM, SNOMEDs, RxNorms, LOINC codes for given disease, drugs or laboratory terms. The codes are obtained using pre-trained model ‘text-davinci-003’. Please make sure to manually review the codes before using them further. I personally always manually review the codes before using them irrespective of the source. Enjoy, and have fun!

Set up and use

Setting and using this package is very simple. You will need an OpenAI API key (please see this https://beta.openai.com/). Please follow the following steps once you have the API key.

Install the package

Use following to install the package.

devtools:: install_github("rohit43/GptMedCode")

Set up environment

Set up your R environment with the OpenAI key as follows

usethis::edit_r_environ()
# This will open your .Renviron file. Add following in that file and save.
OPENAI_API_KEY="Your OpenAI API Key "

All Set

Now you are ready to rock and roll. Try the following script to get started. This will bring up a dialogue box. Enter the disease of your choice (Diabetes, a default option) and hit return. In few seconds, the mDat will be populated with ICD-10-CM codes for Diabetes.

mDat <- GptMedCode::icd10Prompt()
head(mDat)

Get ICD-9-CM Codes

For diabetes (or the disease of your choice).

mDat <- GptMedCode::icd9Prompt()
head(mDat)

Get SNOMED Codes

For diabetes (or the disease of your choice).

mDat <- GptMedCode::snomedPrompt()
head(mDat)

Get RxNorms Codes

For Metformin (or the medication of your choice).

mDat <- GptMedCode::rxNormPrompt()
head(mDat)

Get LOINC Codes

For Hemoglobin A1c (or the laboratory measurement of your choice).

mDat <- GptMedCode::loincPrompt()
head(mDat)

Please be careful

The code list returned by this package are from the pre-trained language model (ChatGPT). Please make sure to manually review the codes in case you want to utilize the codes further.

New additions

Thanks to Daniel Donoho, MD (Twitter @ddonoho) for suggesting (https://twitter.com/ddonoho/status/1607878698870382594?s=20&t=WVQFX1s6T-QUVH5-lUks6g) to add codes from NLM CTSS (https://clinicaltables.nlm.nih.gov/). One can use the function ICD10NlmCTSS.R to obtain the ICD-10-CM codes for a given disease prompt (default Diabetes) from the NLM CTTS to help compare the codes returned by the ChatGPT prompt.

Comments

Please reach out for discussions, comments, and suggestions. Enjoy and be safe.