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

Data Collection II01:29

Data Collection II

10.1K
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...
10.1K
Data Collection I01:30

Data Collection I

8.5K
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...
8.5K
Data Collection by Experiments01:13

Data Collection by Experiments

27.5K
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...
27.5K
Data Collection by Survey01:07

Data Collection by Survey

9.1K
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...
9.1K
Data Collection by Observations01:08

Data Collection by Observations

15.0K
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...
15.0K
Data Collection III01:05

Data Collection III

4.5K
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...
4.5K

You might also read

Related Articles

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

Sort by
Same author

Advanced paranasal sinuses osteomas: a retrospective multicentric analysis on surgical management outcomes and intra- and postsurgical complications.

Rhinology·2025
Same author

Olfactory dysfunction in patients with type 2 diabetes mellitus.

Rhinology·2024
Same author

Validation of modular endoscopic medial maxillectomies for inverted papilloma of the maxillary sinus.

Rhinology·2023
Same author

Clinical and oncological outcomes in single-stage versus staged surgery for pediatric craniopharyngiomas: a multicenter retrospective study.

Journal of endocrinological investigation·2022
Same author

Cross-over septal flap technique for choanal atresia surgery in two centres: how I do it.

The Journal of laryngology and otology·2022
Same author

Intraoperative intraorbital bleeding: considerations from a collaborative and retrospective Italian study with a management algorithm proposal.

Rhinology·2022

Related Experiment Video

Updated: Feb 8, 2026

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.8K

Implementing strategies for data collection in chronic rhinosinusitis.

P Castelnuovo1, F Bandi2, A Preti3

  • 1Department of Otorhinolaryngology, University of Insubria and ASST Sette Laghi, Ospedale di Circolo, Varese, Italy; Department of Biotechnology and Life Sciences (DBSV), University of Insubria, Varese, Italy.

Acta Otorhinolaryngologica Italica : Organo Ufficiale Della Societa Italiana Di Otorinolaringologia E Chirurgia Cervico-Facciale
|July 10, 2018
PubMed
Summary

This study introduces RhinoBank, a novel data storage system designed to aid in the risk stratification of chronic rhinosinusitis (CRS) patients using only basic investigations. This tool aims to improve clinical research and daily practice management of CRS.

Keywords:
Chronic rhinosinusitisClinical trialsDatabaseEndotypesPhenotypes

More Related Videos

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
03:47

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients

Published on: July 12, 2024

1.2K
Non-invasive Strategies for Chronic Manipulation of DREADD-controlled Neuronal Activity
08:28

Non-invasive Strategies for Chronic Manipulation of DREADD-controlled Neuronal Activity

Published on: August 25, 2019

14.5K

Related Experiment Videos

Last Updated: Feb 8, 2026

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.8K
Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
03:47

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients

Published on: July 12, 2024

1.2K
Non-invasive Strategies for Chronic Manipulation of DREADD-controlled Neuronal Activity
08:28

Non-invasive Strategies for Chronic Manipulation of DREADD-controlled Neuronal Activity

Published on: August 25, 2019

14.5K

Area of Science:

  • Rhinology and Otolaryngology
  • Medical Informatics

Background:

  • Chronic rhinosinusitis (CRS) presents significant challenges due to its prevalence, diverse symptoms, and unpredictable course.
  • Current research focuses on identifying biological subtypes of CRS, but these methods are costly and not widely applicable in clinical practice.

Purpose of the Study:

  • To develop a risk stratification method for CRS patients using only first-level investigations.
  • To create an accessible data storage system, named RhinoBank, for managing CRS patient data and facilitating clinical research.

Main Methods:

  • Exploration of existing data to identify patterns for risk stratification.
  • Development of a user-friendly data storage system (RhinoBank) tailored for CRS patient information.

Main Results:

  • Demonstrated the feasibility of risk stratification for CRS using basic investigations.
  • Successfully developed and presented the RhinoBank system as a practical tool.

Conclusions:

  • RhinoBank offers a cost-effective and scalable solution for managing CRS patient data.
  • The system facilitates clinical research and supports professionals in daily practice by enabling risk stratification.