Get to Know How Health Cloud’s Assessment Generation Works

Assessment Generation uses the power of Einstein generative AI to digitize the questions in the source document and enhances user experience by eliminating the need for a manual review of the entire document. Assessment Generation also aids in the reuse of the generated questions for crafting diverse healthcare assessments.

When you upload a document, Einstein generative AI works in the background to swiftly extract crucial information and create comprehensive question records that capture the essential fields and details. Let’s see a high-level overview of what occurs during the Assessment Generation process.

Einstein generative AI:

• Scans the uploaded document, extracts the text, and creates the OcrDocumentScan Result record with the transformed text.
• Uses the text to build the prompt, sends it to Einstein for processing, and waits for a response.
• Creates the AI Natural Language Process Result record to track the response for the overall process request sent to Einstein.
• Chunks the extracted text into smaller segments depending on the request size.
• Creates the AI Natural Language Process Chunk Result records to track the response for each chunk record sent to Einstein.
• Processes each chunk record in a queue and receives the JSON response from Einstein.
• Uses the JSON response to create the required Assessment Question, Assessment Question Version, and Assessment Question Source Document records.
• Updates the status of the AI Natural Language Process Result and AI Natural Language Process Chunk Results records to Completed.