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Related Concept Videos

Data Collection II01:29

Data Collection II

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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...
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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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Data Collection by Experiments01:13

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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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Data Collection by Survey01:07

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Data Collection by Observations01:08

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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...
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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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Related Experiment Video

Updated: Feb 10, 2026

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
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Restructuring routinely collected patient data: ORCA applied to andrology

F H Pierik1, A M van Ginneken, T Timmers

  • 1Department of Medical Informatics, Faculty of Medicine and Health Sciences, Erasmus University Rotterdam, The Netherlands. pierik@mi.fgg.eur.nl

Methods of Information in Medicine
|August 1, 1997
PubMed
Summary

The Open Record for Care (ORCA) system enables semantic integration of disparate health data. This study demonstrates ORCA

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Area of Science:

  • Medical Informatics
  • Health Information Systems
  • Data Integration

Background:

  • Hospital information systems often lack specialty-specific detail, leading to fragmented patient data across multiple systems and paper records.
  • This data fragmentation hinders comprehensive patient care and efficient data retrieval.

Purpose of the Study:

  • To evaluate the feasibility of semantically integrating existing and new patient data using the Open Record for Care (ORCA) CPR structure.
  • To demonstrate the ORCA system's capability for tailored record keeping and data sharing across different sources.

Main Methods:

  • Utilized existing andrology data from separate sources for semantic integration.
  • Applied normalization, validation, and explication steps to identify and resolve data quality issues in source data.
  • Merged cleaned source data with new data items, converting all to the ORCA structure.

Main Results:

  • Successfully achieved semantic integration of disparate andrology data using the ORCA structure.
  • Exposed and rectified latent data problems during the normalization and validation processes.
  • Attained a unique representation of medical concepts, enabling univocal data retrieval for multiple applications.

Conclusions:

  • The ORCA CPR facilitates the semantic integration of existing and new health data, even from disparate sources.
  • Expansion of the ORCA system to the andrology domain, with transparent data integration, supports its general applicability.
  • The ORCA structure enhances data retrieval and usability for diverse healthcare purposes.