In this week’s platter, we take a comprehensive look at AI and then later at the challenges to overcome before mass adoption of AI in healthcare; then we pay attention to how real-world evidence could impact healthcare decision making; and, finally, we take a look at camera enabled goggles which, let’s just say, is very early in its development cycle.
Unease over AI is still common, and perhaps somewhat justified as researchers start to turn well-controlled pilots into commercialized deployments of diagnostic tools, clinical decision support systems, and workflow optimization aids. Many of these offerings must still earn the trust of clinicians, especially those who question the underlying integrity and potential biases of the data upon which these algorithms were trained.
Regardless of where any individual or institution falls along the enthusiasm spectrum, it is becoming increasingly clear that nothing is going to stay the same once the healthcare industry hits its AI event horizon – and that moment may be coming very soon…
The potential of artificial intelligence for making healthcare better is indisputable. But integrating it successfully into our healthcare systems requires us to overcome some significant challenges. Despite this, we can be sure of one thing: artificial Intelligence will not replace physicians. Yet, medical professionals who use A.I. will replace those who don’t.
Healthcare is rapidly transitioning to a new world of patient choice with a laser-like focus on outcomes and value. Indeed, healthcare systems that have traditionally focused on medical interventions driven via episodic interaction with the patient are now recognizing the need to fully understand exogenous factors (“real world evidence”) and deliver continual care. But how do we exploit this data to significantly improve healthcare decisions?
Recent scientific advancements are spurring on innovation in disease diagnostics. Last month, a team of researchers from the National University of Singapore developed a tiny microfluidic chip that can detect minute biomolecules without lab equipment. The strides made in the automation of diagnostics will cause fundamental changes in medicine. The field is set to become more of an information science.
Camera-equipped goggles that record what you miss the moment you blink. That’s right!!! You be the judge . You just blinked…you’ve just missed a moment.