How Artificial Intelligence is Partnering With Nursing to Provide Care

Today, clinical information is vast, complex, constantly changing and requires a refined skillset for practical application during patient care.

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Now more than ever, high-quality nursing care depends on instantaneous processing and decisive action when interacting with abundant volumes of data. In fact, the continual demand for real-time analysis, consumption and action against volumes of clinical information has become a new standard in nursing care.

With this new standard, artificial intelligence (AI) offers a promising road ahead for the practice of nursing. AI has applications in virtually all specialties and nursing work settings so learning how to productively engage with this technology presents huge opportunity.

What is AI?

AI is a broad category of emerging technologies that aim to investigate, synthesize, learn, take action and deduce intelligence from various clinical systems and information sources. The technology helps support, and in some cases, even supplement human tasks.

The goal of AI is to learn and adapt by providing responses and predictions over time that are faster and as relevant (or more relevant) than human computing power.

A few examples of developing technologies that leverage AI, include:

Virtual reality
Voice assistive technology
Natural language processing
Image recognition
Robotics
Machine learning
Expert rule-based systems

AI uses complex logic and programming to learn about a topic rapidly and provide support, answers and action. The result is just-in-time informational synthesizing, suggested actions and even task completion.

Nurses partner with machines

Throughout the last two decades, nurses have learned to adapt their workload and practice to the influx of data that has resulted from the introduction of clinical information systems, electronic medical records and integrated medical equipment and support systems.

Whether these systems require manual data entry or have integrated components, the goal has always been the same – to collect clinical information. However, an evolutional shift is occurring. The technology focus is moving beyond implementing new systems to capture clinical data to establishing a whole new type of relationship between clinicians and machines.

Computer processing now has the ability to interrogate these clinical data collection systems and surface answers to questions that are waiting to be asked – or, in some cases, that haven’t even been considered. These systems can predict future patient outcomes based on the identification of different trends in patient data.

Herein lies the opportunity for nursing: the ability to augment existing clinical intelligence by quickly processing through multiple sources of information to make recommendations, forecast results and assist with decisions.

Nurses welcome these new technological solutions as collaborators and the newest non-human contributing member to the patient care team.

AI applications in nursing

Nurses impact every facet of patient care – from the cost of care to the overall patient experience. Within this spectrum of responsibility lies the prospect for a number of different technologies to use the computing power of AI to assist with nursing care.

The following chart depicts a selection of AI technologies and the associated opportunities they present within the nursing profession.

Nothing artificial about evolving nursing intelligence

Nurses have always been uniquely positioned to influence how technology is synthesized at the point of care. A new set of skills and practical knowledge is needed to interact with machines as an additional contributor to the care team.

AI technology is emerging as a partner with nursing to rapidly synthesize information, complete work, assist with clinical decisions and improve patient outcomes. Individually, each of these emerging technologies offers tremendous opportunity to improve care. Combining these solutions and educating nurses on how to best interact with machines will open unlimited solutions for efficiency, capacity, quality and healthcare transformation in the future.