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Related Concept Videos

Data Collection I01:30

Data Collection I

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 data...
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,...
Data Reporting and Recording01:24

Data Reporting and Recording

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...
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.
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Guidelines for Nursing Documentation I01:30

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Quality documentation and reporting share essential characteristics that ensure they are practical and valuable resources for those who use them. These characteristics are:
Factual:  
The following points emphasize the significance of upholding accurate and unbiased documentation in healthcare.
Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
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Developing a data dictionary for the irish nursing minimum dataset.

Pamela Henry1, Pádraig Mac Neela, Gerard Clinton

  • 1School of Nursing, Dublin City University, Dublin, Ireland. Pamela.Henry@dcu.ie

Studies in Health Technology and Informatics
|November 15, 2006
PubMed
Summary
This summary is machine-generated.

Implementing a standardized Electronic Health Care Record (EHCR) in Ireland faces challenges due to slow system adoption. Developing a data dictionary for the Irish Nursing Minimum Dataset (INMDS) is crucial for EHCR success.

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Area of Science:

  • Health Informatics
  • Nursing Informatics
  • Health Information Systems

Background:

  • Ireland's healthcare system faces challenges with standardized clinical information systems.
  • A national health reform program mandates phased implementation of Electronic Health Care Records (EHCR).
  • Nursing plays a vital role in health information quality, yet some activities remain 'invisible', complicating standardization.

Purpose of the Study:

  • To address the challenge of inadequate data element definition hindering EHCR development.
  • To outline the development of a data dictionary for the Irish Nursing Minimum Dataset (INMDS).
  • To ensure uniform standards for electronic data exchange in integrated healthcare systems.

Main Methods:

  • Data set elements were derived from a large-scale empirical research program.
  • ISO 18104, the reference terminology for nursing, was utilized for cross-mapping.
  • Dataset items were dissected and mapped to semantic domains, categories, and links.

Main Results:

  • A data dictionary for the INMDS was developed, addressing data element definition issues.
  • Cross-mapping using ISO 18104 facilitated semantic standardization.
  • The methodology provides a foundation for integrated data repositories and EHCR.

Conclusions:

  • The development of the INMDS data dictionary is a key step towards successful EHCR implementation in Ireland.
  • Standardized nursing data is essential for improving health information quality and comparability.
  • This work supports the broader goal of uniform standards for electronic data exchange in healthcare.