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Related Concept Videos

Nursing Assessment01:29

Nursing Assessment

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.
The nurse collects all aspects of the patient's health in the initial assessment, establishing priorities for ongoing focused assessments and...
Theoretical Foundations of Nursing Practice01:30

Theoretical Foundations of Nursing Practice

Theories play an essential role in organizing patient care. Theories refer to a proposed or followed belief, policy, or procedure that is the basis for action. Nursing theories are knowledge-based concepts that guide nurses' actions, influence nursing education and practice, and allow nurses to care for their patients.
Theories provide a perspective to assess patients' conditions and organize data and methods. They also assist in analyzing and interpreting information. They represent a...
Nursing Evaluation01:15

Nursing Evaluation

The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
Section...
Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Fundamentals of Nursing Process I01:27

Fundamentals of Nursing Process I

The nursing process is the core of practice for every registered nurse to deliver holistic, patient-focused care. The following are the five steps in the nursing process.
Data Collection II01:29

Data Collection II

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 family,...

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Related Experiment Videos

Understanding nursing units with data and theory.

Donna Diers1, Karrie Hendrickson, Joan Rimar

  • 1Yale University School of Nursing, New Haven, CT, USA.

Nursing Economic$
|August 8, 2013
PubMed
Summary
This summary is machine-generated.

Organizational diagnosis using nursing data and systems theory can improve unit performance. Applying these methods helped identify problems and suggested strategies for a troubled nursing unit.

Related Experiment Videos

Area of Science:

  • Healthcare Management
  • Organizational Behavior
  • Nursing Informatics

Background:

  • Nursing units function as complex social systems influenced by various factors.
  • Understanding nursing unit performance requires integrating available nursing data with organizational diagnosis theory.
  • Troubled units often present challenges that necessitate systematic analysis and intervention.

Purpose of the Study:

  • To apply organizational diagnosis and data mining techniques to a troubled nursing unit.
  • To explore the utility of systems theory in guiding interventions for underbounded and overbounded systems.
  • To improve nursing unit performance through data-driven insights and theoretical direction.

Main Methods:

  • Case study of a troubled nursing unit.
  • Utilized modern data mining techniques for performance analysis.
  • Employed systems theory for organizational diagnosis and identifying change strategies.
  • Integrated quantitative data with qualitative information from nurses and unit observations.

Main Results:

  • Data analysis, combined with qualitative insights, effectively defined the nursing unit's problems.
  • Systems theory provided a framework for understanding system characteristics (overbounded/underbounded).
  • The theory offered direction for implementing changes, although it did not prescribe specific solutions.
  • Interventions aimed at addressing system boundaries and resource identification were suggested.

Conclusions:

  • Organizational diagnosis, supported by data mining and systems theory, is valuable for improving nursing unit performance.
  • Systems theory offers a conceptual guide for addressing complex organizational issues in nursing units.
  • A combination of data analysis and theoretical frameworks is crucial for effective problem-solving and change management in healthcare settings.