How artificial intelligence is changing nursing

GENERAL PURPOSE: To provide information on the development of AI and its impact on nursing practice. LEARNING OBJECTIVES/OUTCOMES: After completing this continuing-education activity, you should be able to: 1. Examine the development and fundamentals of AI. 2. Identify several nursing applications for AI. One stumbling block in the history of AI development is that scientists didn't have the computational power and supporting technologies early on to develop algorithms. process vast amounts of data. generate results quickly. In the field of AI, automated instructions that tell a computer what to do are called algorithms. data sets. unit chip technology. Andrew Ng proved that a computer can learn by getting it to identify cats. determine patient acuity. play games. A term used interchangeably with AI is deep learning. machine learning. cognitive technology. The Watson computer was trained at Memorial Sloan Kettering Cancer Center to provide treatment options. control lighting throughout the center. optimize staffing. Deep learning involves networked algorithms called nursing networks. mobile networks. neural networks. The Rothman Index is a tool that reflects different types of cancer. patient emotions. patient acuity and risk. Rothman Index scores are calculated using EMR data associated with 26 variables, including a total of how many nursing assessment metrics? 5 11 17 What's critical to the calculation and value of Rothman Index scores? timely input of nursing assessment data use of nurse SWAT teams nurse buy-in to the new technology Social or companion robots are protective. emotionally responsive. intuitive. The robot being developed at Duke University is designed to address healthcare workers who are at high risk for infection during patient care. radiation exposure during special procedures. injury from violent patients or visitors. The Duke University robot currently performs a total of approximately what percentage of predefined nursing tasks? 20% 40% 60% What's a limitation of the Duke University robot? It freezes frequently. It's 20 times slower than a nurse. It becomes disconnected due to a lack of bandwidth. Which statement regarding the project using the TCHAT robot is accurate? It sends warning notifications on mobile phones to indicate patient deterioration. It starts with one in-home visit followed by telehealth remote visits. It impacts suicide rates by linking patients with mental health care. CCH uses mobile apps to collect data from the EMR to identify how to prevent adverse events. which infectious-disease protocols to implement. when medication is due to be administered. Experts or end users become the quality check for data inputs and outputs by evaluating the results from which question? Were the results generated in a timely fashion? How many data points were required? Are any of the results surprising? According to the Massachusetts Institute of Technology, areas where bias can creep into an AI project include all of the following except framing the problem or task to be solved. determining the hardware best suited to run the algorithms. selecting flawed data to train the system. What's predicted for the future of AI? By 2030, up to 375 million workers worldwide will need to switch occupations. Most jobs can be fully automated with AI technologies. Eventually, it's highly likely that nurses will be replaced by AI.