A medical company has English-language health records and patient self-reported text and needs to extract insights from that text with minimal development effort. Which AWS service is the best fit?

Amazon Comprehend Medical is the best fit because it is a specialized natural language processing (NLP) service designed to extract health information from unstructured medical text. It can identify entities like medical conditions, medications, and protected health information (PHI), and can also perform tasks like summarization relevant to medical records. This service requires minimal development effort as it is a fully managed, pre-trained AI service. Amazon SageMaker with an RNN or Sequence-to-Sequence algorithm would require significant development effort, including data preparation, model training, and deployment, which contradicts the "minimal development effort" requirement. While these are powerful tools, they are for custom model building, not off-the-shelf medical text processing. Amazon Kendra is a search service for enterprise data, not specifically designed for medical text summarization or entity extraction, although it could be used for searching medical documents.