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Related Concept Videos

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...
Archival Research01:40

Archival Research

Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
Data Collection by Experiments01:13

Data Collection by Experiments

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 clinical trial...
Data Collection by Survey01:07

Data Collection by Survey

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...
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 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.

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Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
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Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Published on: February 14, 2014

Research data collection methods: from paper to tablet computers.

Adam B Wilcox1, Kathleen D Gallagher, Bernadette Boden-Albala

  • 1Department of Biomedical Informatics, Columbia University, New York, NY 10032, USA. wilcox@dbmi.columbia.edu

Medical Care
|June 14, 2012
PubMed
Summary
This summary is machine-generated.

Paper-based data collection persists in clinical research despite electronic options. This study compares paper, electronic health record templates, and next-generation tablets, highlighting their distinct pros and cons for primary data collection.

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Area of Science:

  • Clinical Research
  • Health Informatics
  • Data Management

Background:

  • Paper-based data collection remains prevalent in clinical research, despite advancements in electronic data capture (EDC) systems.
  • User preference and clear benefits favor electronic systems, yet traditional methods persist.
  • Technological evolution necessitates a re-evaluation of data collection methods' comparative advantages and disadvantages.

Purpose of the Study:

  • To analyze case studies employing diverse data collection methods, including advanced tablet computers.
  • To evaluate the specific advantages and disadvantages associated with each data collection approach.

Main Methods:

  • Review of five contemporary case studies on primary data collection.
  • Utilized methods ranging from paper-based forms to next-generation tablet computers.
  • Conducted semi-structured telephone interviews to assess data collection factors, workflow, implementation, and security.

Main Results:

  • Multiple primary data collection methods exist, each with unique strengths and weaknesses.
  • Electronic health record (EHR) templates offer direct medical record linkage but present usability challenges.
  • Next-generation tablet computers differ significantly in user familiarity and software expenses compared to older technologies.

Conclusions:

  • EHR templates and next-generation tablets are recent primary data collection methods.
  • Tablet computers offer distinct advantages but introduce cloud-based storage security considerations for clinical research.
  • Careful consideration of implementation differences is crucial for selecting appropriate data collection technologies.