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Current Trends in Nursing I01:28

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Current trends in nursing include:
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Current Trends in Nursing II01:30

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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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The two sources for collecting information are primary and secondary. After gathering information, interpretation and validation help to complete the data. The purpose of assessment is to establish data with the initial information, to interpret data about the patient's perceived needs and health problems, and to respond to these problems identified.
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Nursing Clinical Information System (NCIS)
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Data Collection I01:30

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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Data Collection II01:29

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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Nursing Needs Big Data and Big Data Needs Nursing.

Patricia Flatley Brennan1, Suzanne Bakken2

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Journal of Nursing Scholarship : an Official Publication of Sigma Theta Tau International Honor Society of Nursing
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Big data and data science offer significant potential for healthcare advancement. Integrating these fields with nursing science can enhance patient care through personalized strategies and deeper understanding of health phenomena.

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Area of Science:

  • Nursing Science
  • Data Science
  • Health Informatics

Background:

  • Big data initiatives in healthcare are rapidly expanding.
  • Nursing science and practice can significantly benefit from data science.
  • Data science methods are crucial for leveraging diverse data sources.

Purpose of the Study:

  • To explore the integration of big data and data science within nursing.
  • To identify opportunities for nursing to participate in the big data revolution.
  • To examine the implications for nursing practice and research.

Main Methods:

  • Review of federal big data initiatives.
  • Analysis of nursing informatics research exemplars.
  • Reflection on experiences within emerging big data initiatives.

Main Results:

  • Current data analysis methods are insufficient for full nursing participation in big data.
  • Nursing's ethical framework can guide big data and data science applications.
  • Opportunities exist for nurses in practice, research collaboration, and data science.

Conclusions:

  • Big data and data science can enrich patient phenomenon understanding.
  • Personalized patient intervention strategies can be developed.
  • Ethical considerations are paramount for big data in nursing.