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Related Concept Videos

Guidelines and Strategies for Safe Computer Charting01:18

Guidelines and Strategies for Safe Computer Charting

The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:
Ethical Standards I01:25

Ethical Standards I

The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
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...
Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
Automated Microbial Diagnostics01:24

Automated Microbial Diagnostics

Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...
Legal Guidelines for Documentation01:06

Legal Guidelines for Documentation

The legal guidelines for nursing documentation are essential for ensuring accurate, professional, and ethical recording of patient care. The guidelines are discussed here:

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Related Experiment Video

Updated: Jun 27, 2026

Improving IV Insulin Administration in a Community Hospital
12:08

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

Providers do not verify patient identity during computer order entry.

Philip L Henneman1, Donald L Fisher, Elizabeth A Henneman

  • 1Department of Emergency Medicine, Baystate Medical Center, Tufts University School of Medicine, Springfield, MA, USA. philip.henneman@bhs.org

Academic Emergency Medicine : Official Journal of the Society for Academic Emergency Medicine
|December 17, 2008
PubMed
Summary
This summary is machine-generated.

Medical providers frequently miss patient identification errors during computerized order entry. Verifying patient ID with two identifiers, like name and date of birth, is crucial but often overlooked in practice.

Related Experiment Videos

Last Updated: Jun 27, 2026

Improving IV Insulin Administration in a Community Hospital
12:08

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

Area of Science:

  • Medical Informatics
  • Patient Safety
  • Human Factors Engineering

Background:

  • Patient identification is a critical safety goal, requiring verification using at least two identifiers such as name, date of birth (DOB), or medical record number (MRN).
  • Ensuring accurate patient identification is paramount to prevent medical errors and improve healthcare outcomes.

Purpose of the Study:

  • To assess the frequency with which medical providers verify patient identification during computerized provider order entry (CPOE).
  • To identify potential gaps in patient ID verification processes within CPOE systems.

Main Methods:

  • A prospective study utilizing simulated scenarios and an eye-tracking device to monitor provider actions.
  • Medical providers reviewed simulated patient charts and performed order entry tasks, unaware that patient ID verification was the primary focus.
  • Scenarios included embedded patient ID errors (incorrect DOB, misspelled name) and potential ambiguities (duplicate last names).

Main Results:

  • While 100% of providers correctly identified patients with duplicate last names, only 8% detected a DOB error, and 4% identified a misspelled last name.
  • No participants used the medical record number (MRN) for verification before selecting a patient from an alphabetical list.
  • Overall patient ID verification using two identifiers occurred in only 23% of instances before ordering tests.

Conclusions:

  • Medical providers frequently fail to detect patient identification errors during CPOE.
  • Infrequent verification of patient ID using two identifiers during CPOE poses a significant risk to patient safety.