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

Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.5K
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...
1.5K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

1.1K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
1.1K
Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

1.2K
Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
1.2K
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

7.4K
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...
7.4K
Methods of Documentation III: PIE01:21

Methods of Documentation III: PIE

1.9K
Problem-intervention-evaluation (PIE) is a systematic approach to documentation used in healthcare settings for clinical decision-making and patient care planning. It is a structured approach to organizing patient data based on problems, interventions, and evaluations. Here's a breakdown of its key features and considerations:
1.9K
Introduction to Documentation and Reporting01:20

Introduction to Documentation and Reporting

2.6K
Documentation is the systematic process of formally recording, maintaining, and communicating information.
Nursing documentation records essential information and details regarding a patient's care and treatment in written or electronic form. It is a critical aspect of nursing practice that involves documenting assessments, interventions, outcomes, and other relevant details about a patient's health status.
Documentation maps the patient's health journey by creating a comprehensive...
2.6K

You might also read

Related Articles

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

Sort by
Same author

Frequency of Electronic Personal Health Record Use in US Older Adults: Cross-Sectional Study of a National Survey.

JMIR aging·2025
Same author

The Role of Online Support, Caregiving, and Gender in Preventative Cancer Genetic Testing Participation: Cross-Sectional Study From a National Study.

JMIR cancer·2025
Same author

The Role of Access Type and Age Group in the Breadth of Use of Patient Portals: Observational Study.

Journal of medical Internet research·2022
Same author

Mapping Information Needs of Patients With Sexually Transmitted Infections Using Web-Based Data Sources: Grounded Theory Investigation.

Journal of medical Internet research·2021
Same author

Factors Affecting the Extent of Patients' Electronic Medical Record Use: An Empirical Study Focusing on System and Patient Characteristics.

Journal of medical Internet research·2021
Same author

Design, Development, and Evaluation of a Telemedicine Platform for Patients With Sleep Apnea (Ognomy): Design Science Research Approach.

JMIR formative research·2021

Related Experiment Video

Updated: Dec 7, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.9K

Data Quality Issues With Physician-Rating Websites: Systematic Review.

Pavankumar Mulgund1, Raj Sharman1, Priya Anand2

  • 1School of Management, State University of New York Buffalo, Buffalo, NY, United States.

Journal of Medical Internet Research
|September 28, 2020
PubMed
Summary

Online physician ratings significantly influence patient choices, but data quality issues are prevalent. This review identified 18 data quality problems across intrinsic, contextual, representational, and accessibility factors, highlighting areas needing further research.

Keywords:
data quality frameworkdata quality issuesdoctor ratingsphysician-rating websitesreviews

More Related Videos

Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients
02:28

Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients

Published on: March 1, 2024

662
A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

4.2K

Related Experiment Videos

Last Updated: Dec 7, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.9K
Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients
02:28

Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients

Published on: March 1, 2024

662
A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

4.2K

Area of Science:

  • Health Informatics
  • Information Science
  • Patient-Reported Outcomes

Background:

  • Online physician-rating websites significantly impact patient decision-making.
  • The reliability of patient decisions hinges on the data quality of these rating systems.
  • A critical examination of data quality issues in physician-rating websites is essential.

Purpose of the Study:

  • To systematically identify and categorize data quality issues present in online physician-rating websites.
  • To review existing literature on patient-reported physician ratings and reviews to understand data quality challenges.
  • To provide a framework for analyzing data quality in the context of online health information.

Main Methods:

  • Conducted a systematic literature search across major academic databases (ACM, EBSCO, Springer, PubMed, Google Scholar).
  • Included quantitative, qualitative, and mixed-method studies published in English from 2001 to 2020.
  • Screened 423 articles, ultimately including 49 papers detailing 18 unique data quality issues.

Main Results:

  • Identified 18 distinct data quality issues affecting physician-rating websites.
  • Classified issues into four categories: intrinsic (53%), contextual (61%), representational (8%), and accessibility (27%).
  • Over half of the reviewed papers addressed multiple data quality categories.

Conclusions:

  • Physician-rating websites exhibit a variety of data quality issues.
  • Intrinsic and contextual data quality factors are well-researched, while accessibility and representational issues require more attention.
  • Representational issues, influenced by website business models, need further investigation for their impact on data quality.