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Related Concept Videos

Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters assessment...
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Torts III01:26

Torts III

Types of Quasi-intentional Torts in Healthcare
Quasi-intentional torts in healthcare involve acts where intent is not directed to harm an individual but results in harm due to careless or reckless speech.
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Torts II01:13

Torts II

Intentional torts in healthcare refer to deliberate actions that cause harm or infringe on the rights of others. Understanding these torts is crucial for healthcare professionals to avoid legal liabilities and maintain ethical standards in patient care.
Torts I01:14

Torts I

Torts in nursing are wrongful acts that can harm patients and potentially lead to civil liability for the involved nurse. These wrongful acts range from unintentional errors to deliberate actions. Depending on the nature and severity of the tort, a nurse found liable may face financial penalties or disciplinary actions. Understanding the distinctions between intentional, quasi-intentional, and unintentional torts is crucial for nurses to mitigate risks and provide safe patient care.
Intentional...

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Related Experiment Videos

Patient error: a preliminary taxonomy.

Stephen Buetow1, Liz Kiata, Tess Liew

  • 1Department of General Practice and Primary Health Care, University of Auckland, Private Bag 92019, Auckland Mail Centre, Auckland 1142, New Zealand. s.buetow@auckland.ac.nz

Annals of Family Medicine
|May 13, 2009
PubMed
Summary
This summary is machine-generated.

Patients can contribute to healthcare errors through actions like non-adherence and mental processes such as misjudgment. Understanding patient error is crucial for improving healthcare safety and outcomes.

Related Experiment Videos

Area of Science:

  • Healthcare safety research
  • Patient behavior analysis
  • Medical error taxonomy

Background:

  • Current healthcare error research predominantly focuses on system and clinician errors.
  • Patient contributions to healthcare errors are often overlooked in existing literature.
  • There is a need to explore how patients influence their own health outcomes through error.

Purpose of the Study:

  • To identify and classify types of errors that patients can contribute to.
  • To develop a framework for understanding and managing patient-related errors, particularly in primary care settings.

Main Methods:

  • Conducted eleven nominal group interviews with patients and primary healthcare professionals in Auckland, New Zealand.
  • Utilized group discussions to identify and classify potential patient errors.
  • Synthesized emergent ideas into a comprehensive taxonomy of patient error.

Main Results:

  • Developed a 3-level taxonomy detailing 70 potential types of patient error.
  • Classified errors into two main groups: action errors (attendance, assertion, adherence) and mental errors (memory, mindfulness, misjudgments, knowledge deficits, attitudes).
  • Action errors stem from patient behavior, while mental errors originate from thought processes.

Conclusions:

  • The developed taxonomy offers an initial framework for recognizing and addressing patient errors in healthcare.
  • This approach helps balance perspectives on error by including the patient's role.
  • Further research is needed to understand the interplay between patient, clinician, and system factors in error co-creation and reduction.