The "Six As" for Population Health Management

Healthcare organisations globally are investing significant resources in re-architecting their care delivery infrastructures to enable them to adapt successfully to new, value-based delivery models. This is driven by a need to reduce the increasing costs of healthcare while improving healthcare outcomes. To achieve this, healthcare organisations are looking for ways to proactively manage the health of populations to prevent the onset of avoidable chronic conditions, and to better manage those already suffering from chronic disease. This is broadly termed a shift to population health management, with proactive management of the health of a given population, typically through care that is coordinated across the community through a number of linked healthcare organisations.

One of the most complex and critical aspects of building the foundation for successful population health management is developing an IT infrastructure that will enable clinicians and administrators to access and share the clinical and financial information they need, and allow them to streamline and automate their processes to ensure the most efficient clinical and administrative workflows.

Download: The "Six As" for Population Health Management (.pdf, 1.277 KB).

Download from eHealthNews.eu Portal's mirror: The "Six As" for Population Health Management (.pdf, 1.277 KB).

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...