Improved Experience of Care
Empowering patients to better manage their own care … And lowering the data-collection burden on clinicians so they can focus more time on patient engagement for better outcomes.
Latest Posts
Adapting Guidelines for Emergencies in the Digital Age
"Operationalizing clinical decision support (CDS) from clinical guidelines is challenging and particularly difficult during emergencies when recommendations are often developed in real time. This is an overview of a CDC-led, multi-stakeholder initiative, Adapting...
Counterfeit Pharmaceuticals Supply Chain
"A recent World Health Organization report estimates that 1 in 10 medical products – including pills, vaccines, and diagnostic kits – circulating in low and middle-income countries are either substandard or falsified. This counterfeit issue is growing exponentially...
Advancing Technology: The Impact on Military Medicine
"Military medical organizations around the world are faced with an increasing number of challenges that can be helped and hindered by technology. Whether it’s cybersecurity or technology standards, military health IT decision makers are working to improve their...
Creating a Core Cancer Data Model to Enable a Learning Health System
"MITRE is collaborating with ASCO, CancerLinQ, and other clinical experts to develop mCODE (Minimal Common Oncology Data Elements). mCODE models a standard set of interoperable data that will be collected for every cancer patient, with the objective of substantially...
What’s Next for mCODE?
Andre Quina, Principal Investigator, Electronic Health Records, explains what's next for mCODE.
What is mCODE?
Andre Quina, Principal Investigator, Electronic Health Records, explains mCODE - the minimal common oncology data element.
mCODE
Connect with us at HIMSS19 and learn about: The mCODE model Progress on an operational pilot of mCODE at Intermountain Healthcare National mCODE Summit planned for September 2019 mCODE-related Events at HIMSS12:00pm – 12:30pm The mCODE Project: Improving Cancer Care...
Three Key Considerations for Leveraging Digital Health Tools to Support Patient Engagement
Diabetes and other chronic diseases are the leading causes of death and disability in the United States and 86% of the nation’s $ 2.7 trillion in annual healthcare expenditures are attributed to chronic disease patients. Digital health technology...
Predictive Analytics in Child Welfare
Considerations in Contracting Vendors for Predictive Analytics By Christopher Teixeira, Michelle M. Jacobs Smith, and Matthew Boyas An increasing number of child welfare agencies are considering using predictive analytics in their work....
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