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Related Concept Videos

Guidelines and Strategies for Safe Computer Charting01:18

Guidelines and Strategies for Safe Computer Charting

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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:
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Data Reporting and Recording01:24

Data Reporting and Recording

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Data Collection III01:05

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The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
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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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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.
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Documentation of Nursing Diagnosis01:10

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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.
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Noninvasive Electrocardiography in the Perinatal Mouse
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Does use of computer technology for perinatal data collection influence data quality?

Alison Craswell1, Lorna Moxham2, Marc Broadbent3

  • 1University of Wollongong, Australia ajc558@uowmail.edu.au.

Health Informatics Journal
|November 14, 2014
PubMed
Summary

Midwives perceive electronic health records improve perinatal data completeness but raise concerns about system functionality and data standards impacting accuracy. Further research into technology

Keywords:
(MeSH) data collectionAustraliaattitude to computersdata qualitymidwiferyperinatal nursing

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Area of Science:

  • Maternal and Child Health
  • Health Informatics
  • Public Health Surveillance

Background:

  • Perinatal data is federally mandated in Australia for monitoring maternal and infant health outcomes.
  • Data accuracy is crucial for research, funding, education, and evaluating midwifery, obstetric, and neonatal practices.
  • Previous quantitative studies highlight varying accuracy levels in perinatal data collections.

Purpose of the Study:

  • To explore midwives' perceptions of technology's influence on perinatal data accuracy.
  • To identify specific technological and systemic issues affecting data quality from a user perspective.

Main Methods:

  • Qualitative study exploring midwives' concerns regarding technology and perinatal data.
  • Analysis of reported issues related to system functionality, terminology, data standards, and record-keeping.

Main Results:

  • Electronic completion of perinatal records is perceived to enhance data completeness.
  • System functionality, inconsistent terminology, lack of data standards, and poor written records negatively impact perceived data quality.
  • Midwives report technology introduces challenges to maintaining accurate perinatal data.

Conclusions:

  • While electronic systems may improve completeness, technological and systemic factors hinder perceived accuracy of perinatal data.
  • Addressing issues like system usability, standardized terminology, and clear documentation is essential to improve data quality.
  • Further investigation is needed to optimize technology integration for accurate perinatal data collection.