Tag: Amazon Comprehend Medical

Having ready access to clinical context helps radiologists eliminate assumptions and better apply their skills and expertise in rendering final reports. An automated extraction of relevant clinical context from electronic health records (EHRs) can provide clinical context. A typical imaging workflow involves a patient following up for a recommended procedure prescribed by a provider. For […]

Healthcare and life science organizations are moving towards digital transformation to decrease the cost of care, improve collaboration, make data-driven clinical and operational decisions, and enable faster development of new therapeutics and treatment paths. Identifying the right cloud technology to reach these goals can be challenging, and many organizations lack the internal resourcing and expertise […]

Artificial intelligence can speed up the development of new drug development, be a bridge to personalized medicine using the information of our genomes, and help address the problem of a chronic shortage of doctors (especially in countries where health services are underdeveloped). However, significant challenges remain before we can get there. The challenge The application […]

Amazon Comprehend Medical is a HIPAA eligible service that uses deep learning to identify and extract relevant information from medical text. The service uses trained Natural Language Processing (NLP) models to identify medical entities and relationships, such as medication, dosage, diagnosis, and Protected Health Information (PHI). This provides an efficient and cost-effective way to mine data […]

When a medical claim is submitted, the insurance provider must process the claim to determine the correct financial responsibility of the insurance provider and the patient. The process to determine this is broadly known as claims adjudication. It involves creating a claims processing workflow that checks each claim for authenticity, correctness, and validity based on […]

Healthcare interoperability is a major initiative across all stakeholders of the healthcare ecosystem, and the Fast Healthcare Interoperability Resources (FHIR) standard has opened the doors for a modern approach to sharing such information. I have frequently heard from healthcare customers that they want to make a difference in patients’ lives by sharing the most relevant […]