NRS 450 Topic 1 DQ 1

Discussion: Based on the first letter of your first name, please define the following terms per your group number. Then, discuss the relevance of each term to nursing practice.

NRS 450 Topic 1 DQ 1 Assessment Description

Based on the first letter of your first name, please define the following terms per your group number. Then, discuss the relevance of each term to nursing practice.

Group 1: A-F

Informatics

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Interoperability

Electronic Health Record (EHR)

Electronic Medical Record (EMR)

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Group 2: G-M
Nursing Informatics

Informatics Nurse Specialist

Clinical Decision Support System (CDSS)

Mobile Medical Devices

Group 3: N-S
Information Exchange

Telehealth/Telemedicine

Wearable Technology

Technology Informatics Guiding Education Reform Initiative (TIGER)

Group 4: T-Z
Data Analytics

Business Intelligence

Data Visualization

Artificial Intelligence

Initial discussion question posts should be a minimum of 200 words and include at least two references cited using APA format. Responses to peers or faculty should be 100-150 words and include one reference. Refer to “RN-BSN Discussion Question Rubric” and “RN-BSN Participation Rubric,” located in Class Resources, to understand the expectations for initial discussion question posts and participation posts, respectively.

NRS 450 Topic 1 DQ 1 Sample

Nursing informatics

The American Nurses Association defines nursing informatics as a specialty that integrates nursing science and different information and analytical sciences focused on the identification, definition, management, and communication of data, information, knowledge, and wisdom in nursing practice (McGonigle et al., 2024). This implies that nursing informatics as a specialty transforms data into required information and uses technologies to enhance health, care quality, safety, equity, and patient outcomes Reid et al., 20. Nursing informatics is relevant to nursing practice as it is a specialty that allows nurses to improve the diagnosis and management of different patient conditions by leveraging data and information.

Informatics nurse specialist

An information nurse specialist is an advanced practice nurse who specializes in nursing informatics to deliver care and help document data. The specialist also interprets health data to enable providers to make effective clinical decisions (McGonigle et al., 2024). The informatics nurse specialist is relevant to nursing practice since they help interpret patient data for better and seamless decisions. NRS 450 Topic 1 DQ 1 

Clinical Decision Support System (CDSS)

 A clinical decision support system (CDSS) analyzes data to enable healthcare providers to make decisions and enhance patient safety. The system offers clinicians, staff, and patients knowledge and person-specific information to help health and healthcare provision 9Sutton et al., 2020). The CDSS is relevant to nursing practice because of the benefits that it offers like computerization of clinical workflows and improving the capabilities of electronic health records (EHRs).

Mobile Medical Devices

Mobile medical devices entail different software and portable gadgets like smartwatches, tablets, and wearable machines that integrate health information and functionalities to meet healthcare needs. NRS 450 Topic 1 DQ 1 For instance, smartwatches help patients and providers monitor vitals like blood sugar levels and blood pressure (FDA, 2022). Mobile devices are essential in nursing practice as they augment actions by nurse practitioners to help analyze data for better decisions.

NRS 450 Topic 1 DQ 1 References

Food and Drug Administration (FDA) (2022 September 29).  Device Software Functions

Including Mobile Medical Applications. https://www.fda.gov/medical-devices/digital-health-center-excellence/device-software-functions-including-mobile-medical-applications

McGonigle, D., & Mastrian, K. (2024). Nursing informatics and the foundation of knowledge.

Jones & Bartlett Learning.

Reid, L., Maeder, A., Button, D., Breaden, K., & Brommeyer, M. (2021). Defining Nursing

Informatics: A Narrative Review. Study on Health Technologies and Informatics, 284: 108-112. DOI: 10.3233/SHTI210680.

Sutton, R. T., Pincock, D., Baumgart, D. C., Sadowski, D. C., Fedorak, R. N., & Kroeker, K. I.

(2020). An overview of clinical decision support systems: benefits, risks, and strategies for success. NPJ digital medicine, 3(1), 17. DOI: https://doi.org/10.1038/s41746-020-0221-y

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