Aioclinic is an AI doctor assistant tool for medical scenarios, positioned as an AI medical assistant based on large language models, designed to let doctors focus more on patients rather than medical record paperwork, reducing the time spent writing medical records and improving efficiency.
In terms of use, Aioclinic mainly helps doctors obtain diagnostic and treatment information from speech and automatically generate electronic medical records. It also supports intelligent guidance and pre-consultation, collecting patient condition information in advance, as well as AI automatic generation of medical record documents throughout the entire hospitalization process. Its goal is to return doctors to diagnostic and treatment decision-making, help them focus more on patients, improve the medical record documentation experience, say goodbye to copy-paste, and restore the real diagnostic and treatment process.
Main capabilities include: multimodal information entry, supporting multiple interaction methods such as text, speech, and images, and automatically extracting key information; speech recognition (ASR) and image recognition (OCR), which can read information such as laboratory reports and examination reports; a professional knowledge base built on a corpus of tens of millions of characters of medical text, as well as tens of thousands of medical templates manually written by medical editors; support for simulating a doctor assistant conducting medical history interviews with patients, combining information such as the patient's gender and age and the description of the condition, guiding patients with questions based on differential diagnosis logic, intelligently identifying symptom descriptions for personalized consultation, and recommending suitable departments for treatment, connecting to the hospital registration homepage; an error rate reduced by 68% compared with leading cloud vendors, supporting rapid recognition and text conversion within 2 seconds, including professional medical terminology.
In terms of usage, Aioclinic can be used on work computers, mobile phones, and iPads, making it convenient for doctors to open the AI medical assistant to write medical records anytime and anywhere in their spare time or on the way to and from work. It is used with a computer microphone and supports multi-mode AI assistance, including AI communicating with patients, AI communicating with doctors, and AI listening to communication between doctors and patients. In terms of system integration, it supports two EMR integration technologies, API (Application Programming Interface) and RPA (Robotic Process Automation), to achieve real-time data synchronization and transmission.
Applicable scenarios are mainly clinical diagnosis and treatment processes in hospitals and community hospitals, including outpatient and inpatient scenarios. It has already been implemented in more than 20 hospitals and more than 10 community hospitals, including Zhejiang Provincial People's Hospital, Sir Run Run Shaw Hospital Affiliated with Zhejiang University School of Medicine, and Zhejiang Hospital.
In terms of limitations, official materials emphasize that patient privacy is not involved, using information data desensitization and anonymization processing, with data only going in and not out, safe and risk-free. Other information such as fees, pricing, and specific platform requirements has not yet been provided.