Healthcare data can be ingested into AWS through various methods including batch, stream, or hybrid approaches. For batch ingestion, AWS Snowball can be used for large data migrations, while AWS Glue facilitates the extraction, transformation, and loading of data. For streaming data, Amazon Kinesis offers options like Data Streams and Data Firehose. A hybrid approach can be achieved using AWS Storage Gateway for continuous data integration.

AWS offers several storage options for healthcare data, including block storage, object storage, and databases. Amazon Elastic Block Storage (EBS) and Amazon Elastic File System (EFS) are available for block-level data, while Amazon S3 serves as a highly durable object storage solution. For database needs, customers can choose from Amazon RDS, Amazon Redshift, and Amazon DynamoDB, depending on their specific requirements.

To protect healthcare data on AWS, customers can utilize various security features. This includes encryption at rest and in transit using services like Amazon S3 and Amazon EBS. Monitoring can be done through Amazon CloudWatch, and controlled access can be managed with AWS Identity and Access Management (IAM). Additionally, Amazon Macie can help discover and classify sensitive data, alerting users to potential security threats.