Automated Clinical Text Coding Powered by AI
Revolutionize your ICD-10 coding with AutoICD – the AI-powered solution that delivers lightning-fast, precise, and efficient clinical text coding.
Features
AutoICD API enables the parsing of unstructured medical text, such as medical records or insurance claims, and generates structured data representations of medical knowledge entities in the form of ICD-10 codes. This structured data can be used for downstream analysis and automation.
Accurate and efficient ICD10 coding
AutoICD uses advanced machine learning algorithms with incredible speed and accuracy, reducing the risk of coding errors and improving the efficiency of your coding processes.
Scalability
AutoICD is designed to be highly scalable, making it suitable for projects of all sizes and levels of complexity.
User-friendly API
AutoICD’s intuitive and user-friendly API is easy to integrate into your existing software or application, allowing you to improve the efficiency and accuracy of your ICD10 coding processes without the need for manual coding.
Speed
AutoICD is capable of processing large volumes of clinical texts quickly and efficiently, helping you save valuable time and resources.
Continuous learning algorithms
AutoICD’s algorithms are constantly learning and improving, ensuring that the API gets smarter over time and providing even more accurate and relevant coding recommendations with each use.
Flexible integration
AutoICD’s API is highly flexible and can easily integrate with a wide range of healthcare software systems, allowing you to seamlessly incorporate accurate and efficient ICD-10 coding into your existing workflows.
How does AutoICD work?
AutoICD is a user-friendly REST API that automates ICD-10 medical coding from clinical text. It delivers structured data in a JSON format for seamless integration with your current systems and applications, allowing for easy analysis, reporting, and revenue cycle management.
For more information, checkout our API Documentation.
1
Submit Your Clinical Text
Submitting your clinical text to AutoICD is easy. Simply send us the text through our user-friendly REST API, and let our advanced algorithms do the work. Our system will analyze the text and generate accurate ICD-10 codes automatically.
2
Receive Your Coded Data
Our API delivers the ICD-10 codes as structured data in a JSON format, allowing for seamless integration with your current systems and applications.
3
Use Your Coded Data
With the structured data in hand, you can easily analyze and report on your clinical data, improve care coordination, and optimize your revenue cycle management.
4
Continuously Improve
As you use AutoICD to code more clinical texts, our algorithms continue to learn and improve, providing even more accurate and relevant coding recommendations with each use.
Try Demo
Experience AutoICD’s automated ICD-10 clinical text coding with our live demo
Contact Us
If you have any questions or would like more information about AutoICD, please don’t hesitate to reach out to us.
Frequently Asked Questions
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.
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.
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.
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.
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.
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
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.
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.
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.
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
About us
AutoICD is a leading provider of advanced natural language processing (NLP) machine learning algorithms for effortless ICD10 coding. Our cutting-edge API empowers healthcare professionals and developers with the ability to automatically code clinical texts into ICD10 with unparalleled speed and precision.
We understand the challenges that come with ICD10 coding and are committed to providing solutions that streamline the process and improve accuracy. Our state-of-the-art technology is designed to enhance the efficiency and effectiveness of ICD10 coding, enabling healthcare providers to focus on patient care.
At AutoICD, we prioritize scalability and user-friendliness in all our products. Our API is designed to be intuitive and easy-to-use, making it an ideal solution for projects of all sizes and complexity levels. Whether you’re a small healthcare practice or a large healthcare system, AutoICD can help you simplify your ICD10 coding process and reduce coding errors.
Our team of experienced data scientists and machine learning experts is dedicated to advancing the field of NLP and creating innovative solutions for healthcare professionals. We’re passionate about using cutting-edge technology to improve healthcare outcomes and are committed to providing the highest level of customer support to our clients.