AutoICD – Automated Clinical Text Coding Powered by AI
Overview
What is AutoICD?
AutoICD is an advanced API that automatically codes clinical texts into ICD-10 using cutting-edge natural language processing (NLP) machine learning algorithms. Its technology empowers healthcare professionals and developers to streamline their ICD-10 coding processes with unparalleled speed and precision.
How does AutoICD code clinical texts into ICD10?
AutoICD uses advanced natural language processing (NLP) machine learning algorithms to analyze and interpret clinical text data, and then automatically generate the corresponding ICD-10 codes. The system has been trained on a vast amount of clinical data, enabling it to accurately recognize and extract key clinical concepts and translate them into the appropriate ICD-10 codes.
What is the technology behind AutoICD's automated clinical text coding?
AutoICD leverages state-of-the-art transformer-based machine learning models for natural language processing to code clinical texts into ICD10 with unprecedented speed and accuracy. These models use cutting-edge techniques to learn the nuances of clinical language and identify the most relevant codes for each text, ensuring that the coding process is as efficient and precise as possible.
How does AutoICD streamline ICD-10 coding processes?
AutoICD streamlines ICD10 coding processes by leveraging advanced natural language processing (NLP) machine learning algorithms to automatically code clinical texts into ICD-10, reducing the need for manual coding and the associated errors and delays. This allows healthcare professionals to focus on more critical tasks and optimize their workflow, resulting in more efficient and accurate coding of clinical texts. Additionally, our API returns the ICD-10 codes in structured data format, making it easy to integrate the data into existing systems and applications, and enabling users to easily analyze and report on their clinical data.
Who can benefit from using AutoICD?
AutoICD can benefit a wide range of healthcare professionals, including physicians, coders, billers, and medical researchers. Additionally, developers and technology companies can also benefit from integrating AutoICD's API into their software applications. Anyone who deals with clinical texts and ICD-10 coding can benefit from AutoICD's advanced NLP machine learning algorithms to streamline their coding processes and improve accuracy.
How fast is AutoICD?
AutoICD is designed to be fast and efficient. The processing time may vary depending on the length and complexity of the clinical text, but generally, the API can generate ICD-10 codes in just a few second
How does AutoICD handle negations?
AutoICD’s advanced natural language processing (NLP) machine learning algorithms are designed to handle negations in clinical texts. The model can recognize negated terms and automatically adjust the coding accordingly. This ensures that the codes generated by AutoICD accurately reflect the presence or absence of conditions in the clinical text.
How does AutoICD handle clinical terms related to patient history or family history?
AutoICD's advanced natural language processing (NLP) machine learning algorithms are designed to recognize and appropriately code terms related to history or family history. These algorithms take into account the context of the term within the clinical text, as well as other relevant factors, to accurately code these terms into ICD-10.
Which languages are supported by AutoICD?
AutoICD currently natively supports English language. However, we are constantly expanding our capabilities, and if you require support for other languages, please feel free to reach out to us and we'll be happy to discuss your specific needs.
Does AutoICD support other coding standards like SNOMED-CT?
Yes, AutoICD API also provides coding in SNOMED-CT, which is available as an optional feature. Please contact us for more information about how to enable this feature