Introduction Lung cancer is the most common cause of cancer death worldwide, and is predicted to be diagnosed in over 200,000 new patients in the US this year [1]. While smoking is undoubtedly the most significant cause, recent reports have highlighted a significant increase in cases of lung cancer among non- (and never-) smokers [2,3].
A few weeks ago, we wrote about the possible implications of robots assisting with surgeries. But the operating room isn’t the only place where rapidly advancing technology has the potential to produce serious disruptions. Pathology could be one of the next proving grounds for artificial intelligence (AI). AIs have been making news all over the
The fast pace of technology is revolutionizing health care. The internet has made the adoption of mobile health (mHealth) and remote patient monitoring possible. Tablets and mobile devices are perfect for adopting structured synoptic reporting for clinics looking to reduce transcription costs and improve report accuracy. And now, robots are taking over the operating room.
Clear, precise communication is critical to every stage of healthcare delivery. From the patient consulting with their primary care physician, to ordering tests and imaging, to creating medical reports and interpreting results and ultimately delivering the information to patients, ensuring information is accurately transmitted across care teams is integral to achieving the best possible outcomes
At first blush, the concept of tracking medical outcomes may seem simple. However, it is actually deceptively complicated to pin down a precise definition. Patients, doctors and healthcare managers may all have dramatically different definitions of what constitutes success after a medical procedure. Relief from symptoms is often a successful outcome for patients; truly curing
