According to research, physicians spend an average of over 16 minutes per patient visit using electronic health records (EHRs). This can contribute to clinician burnout, which is currently at an all-time high. However, a healthcare software company based in San Francisco, Ambience Healthcare, has launched a new product to help reduce the burden of administrative tasks.
The AI medical scribe, called AutoScribe, is embedded into the electronic medical record and operates in real-time. Ambience Healthcare invested $30 million into the product after two years of research and development. With AutoScribe, clinicians can speak to their patients as they normally would, while the software listens in the background. After the visit, the physician receives a draft of the medical notes, which can be edited if needed. The notes from AutoScribe provide information on the patient’s symptoms, care plan, and any changes made during the visit.
AutoScribe can pick up on the medically relevant parts of the visit, differentiate from small talk, organize content by each unique problem, pick up on multiple speakers, and is multilingual. The notes can also be customized to the clinician’s preferences. Overall, AutoScribe aims to help clinicians save time on administrative tasks, reduce the risk of burnout, and provide better patient care.
One can borrow the idea from the above news about using AI technology to reduce the administrative burden on clinicians. Here are some possible ways to implement this idea:
1. Integrate AI-powered medical scribes into electronic health records (EHRs): Similar to AutoScribe, other companies can develop AI-powered medical scribes that can be embedded into EHRs to help physicians capture important patient information more efficiently. For example, Suki.AI is a digital assistant for doctors that uses voice recognition and natural language processing to create patient notes in real-time.
2. Use AI-powered clinical decision support systems: AI can also help physicians make more informed decisions about patient care by providing evidence-based recommendations based on patient data. For example, IBM Watson Health has developed a clinical decision support system that analyzes patient data and provides personalized treatment recommendations.
3. Implement AI-powered patient monitoring systems: AI can also help healthcare providers monitor patients remotely and identify potential issues before they become serious. For example, Current Health has developed a wearable device that continuously monitors patient vital signs and uses AI to alert healthcare providers to potential health issues.