AI in Nursing: Clinical Decision Support and Patient Care

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18 Questions

What is a primary function of clinical decision support tools?

To provide actionable options based on data

How can AI-based clinical decision support improve fall risk prediction?

By quickly considering large volumes of data and accurately flagging at-risk patients

What is an advantage of AI-based clinical decision support over traditional methods?

Automated adjustments in variable selection and calculation

What is a potential limitation of traditional fall risk calculation methods?

They are vulnerable to human error

How do AI-based clinical decision support tools identify at-risk patients?

By considering diverse patient information from the EHR and other sources

What is a benefit of integrating clinical decision support into mobile health applications?

It enhances nurses' ability to make clinical decisions beyond the EHR

What percentage of healthcare spending in the United States is consumed by chronic illnesses?

75%

What is a key benefit of mobile health technologies in managing chronic illnesses?

Receiving and sending data directly between patients and providers

How do mobile health technologies help in managing chronic illnesses?

By creating a comprehensive picture of patient health in everyday environments

What is the role of AI in clinical decision support tools?

Helping nurses advocate for patients and identify care gaps

Why is nurse participation crucial in the development and deployment of AI-based clinical decision support tools?

To ensure tools complement nursing workflows and benefit care delivery

What is the primary challenge addressed by mHealth and sensor-based technologies during the COVID-19 pandemic?

Increased need to retrieve data from patients remotely and between clinic visits

What can be achieved by analyzing mobile health data for patients with diabetes?

Identifying patients who need additional care and self-management support

What is an advantage of using smartphones in healthcare?

They can improve access to care across socioeconomic, racial, and ethnic backgrounds

What type of data can be collected using sensor-based technologies in the home or hospital environment?

Weight, movement, and environmental data such as temperature, light, sound, and air quality

What is a benefit of using mobile health technologies to monitor patients with chronic diseases?

They can provide near real-time data and feedback loops to prompt behavior change

What is a challenge of using mobile health technologies?

The data requires software tools to aggregate and analyze for actionable insights

What can nurses use mobile health data for during clinic visits?

To illustrate day-to-day behaviors and physiologic changes

Explore the role of AI in nursing, including its potential in clinical decision support, patient advocacy, and remote care delivery. Learn how nurses can participate in the development and deployment of AI-based tools to improve patient outcomes.

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