If you're not a member of the healthcare community, then you might not be aware of a quiet crisis creeping up on hospitals all over the country: not enough nurses and too many patients. This trend is partially fueled by the Baby Boomers who are reaching old age. Baby Boomer nurses are beginning to retire, leaving a shortfall of skilled and experienced healthcare providers. The Boomer generation as a whole requires more medical care as they enter their 60s and 70s. Complex problems like the nursing shortage require creative solutions.
Yale New Haven Hospital nursing staff was one of the earliest users of the Rothman Index. The index is a tool used to reflect acuity and risk levels for patients. Clinical Informatics Manager Leslie Hutchins stated the Yale New Haven Hospital implementation of technology was aiming to provide the right advisory, at the right time, in order to pull the data that is meaningful to the cause of achieving desired patient outcomes. The Rothman index uses electronic medical record data for calculations. The Rothman Index was met by a great deal of skepticism regarding validity and reliability in addition to the accuracy of actionable results.
Being a nurse is a highly demanding, but genuinely fulfilling job with the chance to touch many people's lives. As it requires the core of what makes us human – paying attention, being empathetic and caring -, it will never be replaced by technology. However, innovations can relieve nurses of the burden of many monotonous and repetitive tasks. Let's see how technology supports the future of nurses! Clarissa, S.S. visits newborn babies and their mothers every week in the second district of Budapest.
Whether interfering early on in the diagnosis process, managing medical data, assisting health care providers, or helping doctors tailor precise treatments, Health AI is likely to disrupt the healthcare ecosystem from top to bottom. The health AI market is experiencing a boom and is expected to reach a value of $6.6 billion by 2021, up from just $600 million in 2014. According to a report by Accenture, by 2026, AI applications with "near-term value" could translate to $150 billion annual savings for the U.S. healthcare industry. The above report puts robot-assisted surgery at the top of AI applications in terms of the potential value for the healthcare industry. By 2026, robot-assisted surgeries will amount to savings worth $40 billion, driven by "technological advances in robotic solutions for more types of surgery."