At Droice, we use artificial intelligence to help clinicians make better decisions for individual patients. What treatment should a patient be given? Are there any potential complications? What tests need to be done? All of these (and many more) are examples of difficult, data-intensive questions that doctors must answer every day.
Patients on biologics and biosimilars present new challenges for emergency patient care. Complex critical patients require rapid access to useful data for complete care
Data science is a buzzy term not only in the technology sector but in the wider culture, as well. It has seeped into the common vernacular and promises increased insights and knowledge extracted from the vast quantity of data being generated every day.
The elemental complexity of emergency medical care leads to barriers that must be overcome for meaningful Emergency Medicine Artificial Intelligence (EMAI) to exist.
Close to half of all hospital-based health care delivered annually in the US is performed in emergency departments…
Robotic process automation (RPA) technology is the next frontier for businesses looking to streamline processes, increase productivity and ultimately improve the bottom-line. RPA typically uses artificial intelligence to handle repetitive…
Personalized medicine is poised to be a major disruptor of clinical care as we know it today. Despite this, translation of technologies geared towards personalized medicine can be hampered by the existing framework of clinical medicine…
Talk on Deep Learning in the Health Record: Discovering Meaning in Clinical Text. Everyone knows that electronic healths records (EHRs) are messy. From missing data, to nonstandard text, to interoperability issues…
