Category: Healthcare

It’s no secret that hospital readmissions impact patient outcomes and the financial health of healthcare providers globally. Specifically in the United States, the Agency for Healthcare Research and Quality (AHRQ) shows that readmissions are some of the costliest episodes to treat, with costs reaching in excess of $41.3B. Hospitals and healthcare providers are looking for […]

Innovations in industries like retail, communication, transportation, and entertainment, have forever changed customer expectations. Information and services can now be accessed immediately from nearly any device in any location. For healthcare, this means patients want new ways to conveniently and quickly access care… and taking their business elsewhere if those needs are not met. In […]

What happens when a pandemic cancels your annual scientific meeting? You improvise. The Observational Health Data Sciences and Informatics (OHDSI, pronounced “odyssey”) community planned to celebrate recent research initiatives and discuss future efforts during the annual European Symposium at Oxford University in late March. COVID-19 had other plans. Opting to flatten the curve, symposium organizers […]

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 […]

Technology is changing how we practice medicine. Sensors and wearables are getting smaller and cheaper, and algorithms are becoming powerful enough to predict medical outcomes. Yet despite rapid advances, healthcare lags behind other industries in truly putting these technologies to use. A major barrier to entry is the cross-disciplinary approach required to create such tools, […]

Build a machine learning model to predict the likelihood of stroke in a patient with newly diagnosed atrial fibrillation In healthcare, patient outcome prediction is a critical step in improving the effectiveness of care delivery while reducing its overall cost.  Being able to accurately forecast what will happen next to patients, at scale, is key […]

We have an exciting re:Invent planned for the healthcare and life science industries this year. This year’s conference will be our biggest yet, with 60,000+ attendees, more than 2,000 technical sessions and dedicated tracks for both healthcare and life sciences. Below is some key information to help industry attendees make the most of re:Invent 2019. […]