Clinical leaders identify electronic, evidence-based order sets as tremendously effective at improving clinical decision support (CDS). Well-implemented order sets streamline workflow, drive computerized physician order entry (CPOE) and improve core measures right at the point of care.

The Department of Health & Human Services has declared 2013 the year of implementation of Meaningful Use (MU) and no rulemaking regarding Stage 3 will occur before 2014. While the numbers regarding incentive payments and EHR adoption continue to increase, I would say that many healthcare providers are questioning the whole initiative.

Lean methodology, adopted from the Toyota Production System which was originally conceived after World War II, has been hailed as a way to save costs, streamline efficiencies and reduce waste in virtually any endeavor. Healthcare has been slow to adopt the strategy, but those organizations that have can attest to its value to patients and employees.

Telemedicine’s potential is vast, but before it can be realized, a number challenges must be overcome. High-speed bandwidth still is not available in some areas of the country, and telemedicine’s role in the transition to a fee-for-performance model needs to be supported by clearer reimbursement guidelines. Just how close are we to meeting healthcare needs at anytime, from anywhere?

Derrick Suehs, chief quality officer of Crouse Hospital in Syracuse, N.Y., discusses the difference between good and great patient care. "I've begun to realize the difference between good and great comes down to passion and purpose. I suspect many people will dismiss this conclusion as overly simplistic, but I disagree," Suehs writes in an editorial published by Hospital Impact.

Contextualizing patient needs and circumstances at the point of care improves healthcare outcomes, according to an observational study published on April 16 in the Annals of Internal Medicine.

I love reading about advanced technologies that have the potential to help with our most complex patients. It will be a fantastic future where natural language processing mixed with big data analytics will help diagnose difficult cases and suggest novel management strategies.

We know that time is brain when it comes to stroke care. An increasing range of apps, IT solutions and innovations are wide-ranging across the care continuum. An everyday text message can help friends and family members detect a neurological problem—known as dystextia.