Category: Amazon Comprehend Medical

Introduction To meet the needs of the emerging wave of digital healthcare, our global healthcare customers have been building telehealth solutions that comply with healthcare regulations, such as HIPAA and GDPR, in order to deliver higher quality service and better patient outcomes. For example, telehealth visits have grown to over 30 times higher than before […]

Hospital systems are dynamic, fast-paced, and challenging environments to manage. There are vastly different areas from emergency departments to walk-in clinics, where seamless, secure, and efficient interactions must occur in order to achieve optimal patient satisfaction, care delivery, staff productivity, and the utmost safety. Electronic Health Record (EHR) systems and other Healthcare Information Technology (HIT) […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Life Science companies are witnessing substantial growth in number of Adverse Events (AE) being reported for their products. This may be due to the increase in data volumes coming from journals, articles, social media, and non-standardized data sources. Evolving regulations […]

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 […]

The Dark Data Problem Up to 80% of your organization’s medical patient data is untapped, undervalued, or unused Imagine walking into a physician’s office for a checkup. As you describe some pain you’ve been having in your left knee, the doctor barely looks up from the screen as she clatters away on the keyboard, taking […]

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 […]

With over 75 launches and announcements of new services and major features during re:Invent, it can be hard for any technologist to keep track of the most relevant information for Healthcare and Life Science (HCLS) workloads. Explore the below recap of information important for HCLS customers and links to the top re:Invent breakout sessions. Top […]

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 […]