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 Experiment Videos

Computerised data collection: practicability and quality in selected general practices

F D Hobbs1, A Hawker

  • 1Department of General Practice, University of Birmingham, Edgbaston, UK.

Family Practice
|June 1, 1995
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Cardiovascular disease and lipids. Issues and evidence for the management of dyslipidaemia in primary care.

The European journal of general practice·2003
Same author

Doctor-patient discussions of alternative medicine for back pain.

Scandinavian journal of primary health care·2002
Same author

Response to the National Service Framework on coronary heart disease: is it sufficiently evidence-based?

Annals of clinical biochemistry·2001
Same author

Initial management strategies for dyspepsia.

The Cochrane database of systematic reviews·2001
Same author

Long term anticoagulation or antiplatelet treatment. Inclusion criteria determine results of review.

BMJ (Clinical research ed.)·2001
Same author

Cluster randomised controlled trial comparing the effectiveness and cost-effectiveness of two primary care interventions aimed at improving attendance for breast screening.

Journal of medical screening·2001
Same journal

Deferred prescribing in practice: an observational study in community pharmacies in France during 2024-5 and feedback from pharmacists.

Family practice·2026
Same journal

Assessing the risk of drug-induced corrected QT interval prolongation in primary care.

Family practice·2026
Same journal

Universal-offer HIV testing amongst patients undergoing blood tests in primary care: results from a multi-centre study.

Family practice·2026
Same journal

Sustainable healthcare knowledge, experience and curricular perspectives: a cross-sectional survey within the European Young Family Doctors Movement network.

Family practice·2026
Same journal

General practice care models and satisfaction in Australian residential aged care homes: a national survey of GPs, practice nurses, and managers.

Family practice·2026
Same journal

Effect of direct access to physiotherapy on prescribing and imaging in primary care for musculoskeletal disorders: a systematic review and meta-analysis.

Family practice·2026
See all related articles

Data entry in general practice computer systems shows significant inconsistencies and errors. This study highlights variations in data capture conventions and operator errors, impacting patient record accuracy.

Area of Science:

  • Health Informatics
  • General Practice Computing
  • Data Management

Background:

  • Accurate patient data entry is crucial for effective healthcare delivery.
  • Variations in electronic health record (EHR) system usage can impact data quality.
  • Standardization of data capture processes is essential for reliable health information.

Purpose of the Study:

  • To evaluate the consistency of patient data entry into general practice computer systems.
  • To measure the time required for routine data capture in primary care settings.
  • To identify challenges and errors associated with data entry in general practice.

Main Methods:

  • Prospective, piloted postal survey.
  • Inclusion of 76 responding general practices in England and Ulster.

Related Experiment Videos

  • Request for practices to enter predefined patient data, time the process, and report difficulties.

    • Main Results:

    • Inconsistent data entry conventions observed, even within the same computer system types.
    • Significant errors and data distortions found, including inaccurate immunization sequences (29%).
    • Common data entry problems included operator errors, inconsistent terminology, and difficulties with negative data recording (20% success for 'not incontinent').

    Conclusions:

    • Current patient data entry practices in general practices lack consistency.
    • Operator errors and inconsistent use of terms are primary contributors to data inaccuracies.
    • Variations in staff allocation for data recording suggest a need for standardized training and protocols.