A healthcare company needs an AI system that can read structured patient records, identify important medical details, and produce concise summaries. Which solution meets these needs?

Amazon Comprehend Medical is specifically designed for natural language processing (NLP) of unstructured medical text. It can accurately extract medical entities (e.g., diagnoses, medications, procedures) and their relationships from patient records. Combining this with rule-based logic allows for the structured formatting of these extracted details into concise summaries, directly addressing the prompt's requirements. Amazon Personalize is for building real-time personalization and recommendation systems, not for medical text analysis or summarization. Amazon Textract is for extracting text and data from scanned documents, but it doesn't inherently understand medical context or summarize; a keyword extractor would be insufficient for comprehensive medical summarization. Amazon Kendra is an intelligent search service that creates a searchable index, but it is not designed for extracting specific medical entities or generating summaries based on detailed medical understanding.