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Clinical computing in general dentistry.

Titus K L Schleyer1, Thankam P Thyvalikakath, Heiko Spallek

  • 1Center for Dental Informatics, University of Pittsburgh, School of Dental Medicine, 3501 Terrace Street, Pittsburgh, PA 15261, USA. titus@pitt.edu

Journal of the American Medical Informatics Association : JAMIA
|February 28, 2006
PubMed
Summary
This summary is machine-generated.

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Clinical computing adoption is growing among U.S. general dentists, primarily for efficiency and patient care. However, barriers like cost and usability challenges remain significant obstacles.

Area of Science:

  • Dental Informatics
  • Health Information Technology
  • General Dentistry Practice Management

Background:

  • Clinical computing adoption is increasing in general dentistry practices across the United States.
  • Understanding dentists' current utilization, opinions, and attitudes is crucial for effective technology integration.

Purpose of the Study:

  • To measure the adoption and utilization of clinical computing among U.S. general dentists.
  • To assess dentists' opinions and attitudes regarding clinical computing implementation and its associated factors.

Main Methods:

  • A telephone survey was conducted with a random sample of 256 general dentists in active practice in the U.S.
  • A 39-item interview questionnaire assessed practice characteristics, IT infrastructure, data storage, attitudes towards clinical computing, and internet use.

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Main Results:

  • Out of 1,039 screened dentists, 256 had computers at chairside, and 102 were interviewed.
  • Clinical information for administration/billing was mostly computerized, while medical histories remained on paper for most dentists.
  • Barriers to adoption included reliability issues, program limitations, cost, learning curve, and infection control concerns.

Conclusions:

  • Clinical computing adoption is on the rise in general dentistry.
  • Future research should focus on improving usability, workflow integration, infection control, and implementation strategies for clinical computing systems.