The Corti API provides a comprehensive suite of AI-powered capabilities designed to enhance your medical applications. Our offerings include, but are not limited to, medical transcription and clinical summarization. At the core of our system is the concept of an Interaction, which represents the real-time engagement between a medical practitioner and a patient. This entity ties together various services offered by the API, ensuring that data flows seamlessly across different functionalities.
Understanding Interactions and Facts
An Interaction is the fundamental unit within the Corti Co-Pilot API that encapsulates the entire conversation or session between a medical professional and a patient. It ties together all related data and operations, enabling a cohesive workflow from the start of the interaction to the generation of final documentation.
Within an interaction, the Corti Co-Pilot API extracts Facts, atomic pieces of information that are critical for documenting an interaction accurately. These facts can include details such as the patient’s name, height, blood pressure, symptoms, and other clinically relevant data. Facts are designed to help clinicians quickly identify the salient points of an interaction, making it easier to draft complete and truthful clinical documents.
Key Features of Facts
Relevance and Precision: Facts are distilled from the conversation in real-time, ensuring that every crucial piece of information is captured as the interaction unfolds.
Customizability: Clinicians can easily add, remove, or modify facts to ensure that the documentation reflects the true nature of the interaction.
Integration with Documentation: These facts form the building blocks of clinical documents, ensuring that every relevant detail is included without overwhelming the clinician with unnecessary information.
Bringing It All Together
Through the structured flow of Interactions and the extraction of Facts, the Corti API delivers a cohesive and efficient experience, ensuring that all data, from live transcriptions to finalized documents, is tightly integrated and easily accessible. This interaction-centric approach, combined with the granularity of facts, makes it simple for developers to build robust medical applications that leverage real-time AI capabilities across multiple aspects of the practitioner-patient relationship.