RAAPID Reviews

Help physicians put patients before documentation--returning joy to the practice of medicine, giving them time back for themselves, and enhancing the quality of care by restoring the centrality of the physician-patient relationship. Oracle Health Clinical Digital Assistant, an AI-powered voice-assistant, records key elements from the physician-patient interaction to interpret it, input a draft into the Oracle Health EHR and allow the physician to quickly review and approve clinical documentation. Ask questions using natural language to get patient details and perform common clinical workflows. Create draft clinical notes based on data from patients and conversations between the patient and physician for the physician to review and sign off. Use voice commands to create, append and edit pre-drafted patient notes generated during patient encounters.

Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.