Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Pharmacovigilance01:19

Pharmacovigilance

Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Data Collection by Observations01:08

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...
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
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...
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Data Collection III01:05

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.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

How organizational justice reduces turnover intention of Korean and non-Korean employees in South Korea: the mediating roles of organizational conflict and job satisfaction.

Frontiers in psychology·2026
Same author

The Feasibility of Neuroendoscopic Fenestration in Septated Chronic Subdural Hematoma.

Operative neurosurgery (Hagerstown, Md.)·2026
Same author

Quantitative Archaeological Feature Identification Using Handheld Spectrometers.

Sensors (Basel, Switzerland)·2026
Same author

Cognitive readiness of nurses regarding artificial intelligence predictions: understanding through the dual lens of verbatim and gist knowledge.

JAMIA open·2026
Same author

Screening Outcomes of Supplemental Automated Breast Ultrasound in Women With Nondense Breasts Undergoing Mammography.

Korean journal of radiology·2026
Same author

Practice of Cytopathology in Korea: A 40-Year Evolution Through Standardization, Digital Transformation, and Global Partnership.

Diagnostic cytopathology·2025
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

Related Experiment Video

Updated: Jun 21, 2026

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
04:46

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

Published on: September 18, 2018

Development of a computerized observational data collection tool for a medication error study.

Insook Cho1, Hye-Ok Park, Yoon Jung Choi

  • 1Nursing Department, Inha University, Incheon, Korea. insook.cho@inha.ac.kr

Studies in Health Technology and Informatics
|July 14, 2009
PubMed
Summary
This summary is machine-generated.

A new tool, MedObs Collector, aids medication error studies by simplifying data entry and improving reliability. This computerized system streamlines data collection and management in clinical settings.

Related Experiment Videos

Last Updated: Jun 21, 2026

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
04:46

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

Published on: September 18, 2018

Area of Science:

  • Health Informatics
  • Patient Safety
  • Clinical Research Methods

Background:

  • Medication errors pose a significant threat to patient safety.
  • Efficient data collection is crucial for accurate medication error research.
  • Existing tools may lack features for multi-user input and data matching.

Purpose of the Study:

  • To introduce the development of the MedObs Collector, a computerized tool for medication error studies.
  • To qualitatively assess the usefulness of MedObs Collector in a clinical setting.
  • To evaluate the tool's impact on data entry efficiency and reliability.

Main Methods:

  • The MedObs Collector was designed based on medication error research requirements and user feedback from five research assistants.
  • The tool was implemented using MS Access(R) to support multi-user data input and automatic record matching.
  • An informal evaluation was conducted in a clinical setting to gather user feedback.

Main Results:

  • The MedObs Collector demonstrated qualitative usefulness in a medication error study.
  • Users reported advantages in training and establishing reliability with the tool.
  • The system significantly reduced the time required for data entry.

Conclusions:

  • MedObs Collector is an effective computerized tool for medication error research.
  • The tool enhances data collection efficiency and reliability in clinical settings.
  • Further development and validation of MedObs Collector are warranted.