Hygieia - A Gen AI Solution for Pharma
The problem statement concerns the misinterpretation of handwritten doctor prescriptions at a high level. While this is a well-known issue in healthcare, it extends beyond and is sometimes observed even in the insurance industry. Handwritten medical reports submitted by healthcare providers, claims submitted by policyholders (and in some cases, agents), and notes written by underwriters can all pose risks, lead to coverage disputes, and, in some instances, facilitate fraud.
Misinterpreting handwritten doctor prescriptions is a problem. For example, in the United States, it has been reported that sloppy handwriting by doctors has led to adverse events, with one report from the National Academies of Science Institute indicating illegible handwriting in prescriptions. (https://www.nature.com/articles/s41598-022-07571-z).
Good news is, Gen AI has the potential to significantly improve it. With the help of models such as Claude 3 Sonnet, we have a potential solution to the problem. Here is AI that can augment human pharmacists in reading prescriptions. This would not only improve patient safety but also free up pharmacists' time to focus on providing better care to patients.
Here is the springboot sample application to interact with Anthropic Claude 3 foundation model using Amazon Bedrock API. You can upload an image and interact with Anthropic Claude 3, ask questions.
https://github.com/vsrinivasprasad1/genai-springboot
https://github.com/awsdocs/aws-doc-sdk-examples/blob/main/javav2/example_code/bedrock-runtime/src/main/java/com/example/bedrockruntime/InvokeModelWithResponseStream.java https://github.com/awsdocs/aws-doc-sdk-examples/blob/main/javav2/example_code/bedrock-runtime/src/test/java/ImageToTextAsyncTest.java https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/java_bedrock_code_examples.html
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