Precision Medicine

The Coalition for Health AI is offering its Applied Model Card artificial intelligence transparency tool on GitHub to build "the kind of trust that we need," says its CEO Dr. Brian Anderson.

For seven years, the cardiac surgical team has leveraged computational fluid dynamics software to provide consistent preoperative planning for pediatric congenital heart disease patients and improve outcomes. Sharing workflows is reaching more patients.

A typical hospital’s radiology services produce 40% to 60% of medical images, but many other specialties also depend heavily on images, such as cardiology, orthopedics, dermatology, and others. Although medical images are a key clinical tool for multiple disciplines, they are still largely unintegrated into hospital EMR systems – making it difficult for physicians outside that hospital to access those images. Moving medical images and related informatics to cloud services like Amazon Web Services (AWS) can help create more complete pictures of patient health and yield valuable insights, but healthcare organizations should ensure that they have a strategy in place before adopting the cloud.

Personalized medicine is constantly evolving, and the technologies it relies on are advancing rapidly. In this environment, the associated challenges are numerous and complex. Overcoming them often requires fresh eyes and multiple perspectives.

The transformation to personalized healthcare is happening now. Innovations such as artificial intelligence (AI) and machine learning (ML) are already empowering healthcare professionals to act on insights from massive amounts of data and make dramatic improvements in operational efficiency, clinical effectiveness, and patient outcomes. With an extensive portfolio of trusted cloud services and purpose-built solutions, AWS and AWS Partners are helping customers make healthcare more efficient, effective, and secure. Read this eBook and start your journey today.

AI, augmented reality, biomedical sensors and beyond – by mapping out a clear vision now, we can widen our ambitions and improve modernization strategies to better harness the vast potential offered by technology advances.

This is the second article in a series regarding process-based opportunities as the healthcare industry begins to emerge from the challenges of the pandemic.

From vaccines to virtual care, enterprise imaging to precision medicine, these are the growth areas that will shape the direction of healthcare, this year and beyond.

Healthcare institutions can anticipate reaping clinical, operational and financial benefits from enabling their clinicians with AI-powered decision support solutions to make informed decisions along patients’ disease pathways. To get there, alignment and teamwork between information technology, clinicians and service lines is essential. During this informative presentation, University of Missouri Health Care’s CIO and Associate CMO share perspectives from their “C” seats on the challenges clinical decision support solutions can address, the coordination needed to implement these AI-powered solutions into clinical practice, and how partnering with industry can lead to the development of best-practices for other institutions to follow.

Health and care have been inexorably moving toward a new paradigm – one where the nature of the interactions is more personalised and they require the person to be more active in their pursuit of reducing risks that have an adverse effect upon the development of non-communicable diseases, says Dr Charles Alessi, chief clinical officer at HIMSS.