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Data Collection I

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 III

Data Collection III

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.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the patient.

Data Collection II

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,...

Nursing Assessment

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...

Data Collection by Observations

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...

Ethical Standards II

Ethical Standards II

Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
Nurses are entrusted with upholding various ethical principles and standards. Nurses forge solid therapeutic relationships using trust, empathy, autonomy, confidentiality, and professional competence.
Confidentiality is crucial, embodying respect for individual privacy and...

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Related Experiment Video

Updated: Jun 23, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

[Data collection perspectives from patient care in general practice].

Henrik Schroll¹

¹DAK-E it, J.B. Winsløws Vej 9A, DK-5000 Odense C. hschroll@dak-e.dk

Ugeskrift for Laeger

|May 21, 2009

Summary

Danish general practitioners (GPs) utilize a unique system for automatic data collection from patient records to the Danish General Practice Database (DAMD). This facilitates research and quality improvement in primary care.

Area of Science:

Health Informatics
General Practice
Public Health

Background:

Danish general practitioners (GPs) operate within a unique healthcare system.
This system includes personal identification numbers, patient lists, and a gatekeeper function.

Purpose of the Study:

To describe the implementation and function of a novel data capture system for general practice in Denmark.
To highlight the utility of the Danish General Practice Database (DAMD) for research and quality assessment.

Main Methods:

Development of specialized software (Data Capture) for automated data extraction.
Integration of data capture for prescriptions, lab tests, diagnoses, and other clinical information.
Implementation of a pop-up screen for project-specific data collection.

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Main Results:

The Data Capture software successfully collects and transmits comprehensive patient data to the DAMD.
Project-related data can be efficiently gathered.
Quality feedback data is returned to GPs, supporting continuous improvement.

Conclusions:

The DAMD, powered by automated data capture, provides a valuable resource for numerous research initiatives.
This system enhances the potential for data-driven quality improvement in Danish general practice.
The infrastructure supports a wide range of research projects utilizing real-world primary care data.