Discussion: Evolving Technology and Evidence-Based Practice
Technology is only as useful as its ability to be implemented, and complexity and usefulness are not necessarily equivalent. Consider the stethoscope, a technology without a circuit board or touchscreen, in use for centuries, and one that collects critical patient data. In contemporary times, however, technology has evolved into areas once deemed science fiction, such as artificial intelligence and machine learning.
In this Discussion, you examine how these and similar technologies inform evidence-based practice in nursing.
To Prepare
Select a topic from one of the following and review the literature related to the use of the following in nursing practice.
Big data
Machine learning
Deep learning
Cognitive science
Artificial intelligence
Reflect and consider how a topic may inform evidence-based practice in nursing.
Rubric
Main Posting
45 (45%) – 50 (50%)
Answers all parts of the discussion question(s) expectations with reflective critical analysis and synthesis of knowledge gained from the course readings for the module and current credible sources. Supported by at least three current, credible sources. Written clearly and concisely with no grammatical or spelling errors and fully adheres to current APA manual writing rules and style.
40 (40%) – 44 (44%)
Responds to the discussion question(s) and is reflective with critical analysis and synthesis of knowledge gained from the course readings for the module. At least 75% of post has exceptional depth and breadth. Supported by at least three credible sources. Written clearly and concisely with one or no grammatical or spelling errors and fully adheres to current APA manual writing rules and style.
Artificial Intelligence in Health Care
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Artificial Intelligence in Health Care
Healthcare involves the intersection of human judgment and scientific data. Artificial intelligence (AI) is trying to bridge the gap between the two elements. Artificial intelligence can be defined as computer systems that can perform tasks that often require human intelligence (HIMSS, 2022). Artificial intelligence is used in healthcare in different ways to inform evidence-based practice in nursing. Artificial intelligence is used in healthcare in natural language processing (NLP). In healthcare, NLP involves the creation, understanding, and classification of clinical documentation and published research (Davenport & Kalakota, 2019). NLP systems are used to analyze unstructured patients’ clinical notes, compose reports, conduct conversational AI, and transcribe patient interactions.
Surgical robots were approved in the USA in the year 2000 to support surgeons and improve their ability to perform accurate and effective incisions, stitch wounds, and others. Some of the robotic surgical procedures include prostate surgery, gynecological surgery, and head and neck surgery (HIMSS, 2022). Artificial intelligence is used in clinical decision support systems. AI helps in delivering data to health providers to enhance diagnosis, population health management, and treatment planning (Tekkeşin, 2019). Artificial intelligence is used in healthcare to improve the security of hospital data. It helps protect organizations against potentially malicious activities through different means such as heuristic learning and adaptation.
According to Davenport & Kalakota (2019), diagnosis and treatment have been the focus of AI since the 1970s. For example, Google is working in collaboration with healthcare delivery networks to develop prediction models from big data that can warn or alert physicians of high risk of illnesses such as heart failure and sepsis (Tekkeşin, 2019). Therefore, artificial intelligence plays a significant role in improving the quality of care and patient outcomes.
References
Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future healthcare journal, 6(2), 94. http://dx.doi.org/10.7861/futurehosp.6-2-94
HIMSS. (2022). AI in Healthcare: How It’s Changing the Industry. https://www.himss.org/resources/ai-healthcare-how-its-changing industry?utm_campaign=general&utm_source=google&utm_medium=cpc&utm_term=_&adgroupid=134509372449&gclid=CjwKCAjwy_aUBhACEiwA2IHHQLLzcJXhIBXk0NX4vWXTp-jfZdGyGoVeWdDSoop8ludr4YDJNR6O7RoCeDEQAvD_BwE
Tekkeşin, A. (2019). Artificial intelligence in healthcare: Past, present and future. Anatol J Cardiol, 22(Suppl 2), 8-9. http://dx.doi.org/10.1136/svn-2017-000101