Better informed in clinical practice – a brief overview of dental informatics

Reynolds, Patricia; Harper, James; Dunne, Stephen

doi:10.1038/bdj.2008.193

Cited by 14 publications

(12 citation statements)

References 11 publications

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“…A number of researchers have established that dental EHRs have some distance to go to be usable. Reynolds and colleagues provide a brief overview of dental informatics, reiterating that usability challenges represent a primary hurdle to the adoption of dental EHRs (Reynolds et al 2008). In 2008, Hill, Stewart, and Ash explored the impact of EHRs on dental faculty and students in the dental academic setting.…”

Section: Development Of a Standardized Dental Diagnostic Terminologymentioning

confidence: 99%

“…Usability challenges include visual as well as functional interface design problems (Thyvalikakath et al 2009). Illogical button placement, unanticipated button functionality, difficulty switching between the odontogram and periodontal chart, inability to easily delete a mistaken entry on the odontogram, the need for better visual representation of dental findings and the fact that many icons resemble each other in shape and color are just some specific examples of interface design problems detected in the dental EHR (Reynolds et al 2008;Thyvalikakath et al 2009;Walji et al 2013;Song et al 2010).…”

Section: Challenges Of Dental Ehr Use and Usabilitymentioning

confidence: 99%

“…Low chair-side adoption rate of dental EHRs is also thought to be, in part, due to the unsuitability of the conventional EHR set-up in the dental operatory (Reynolds et al 2008). Keyboards and mice are potential sources of infection and need protective covers (D'Antonio et al 2013).…”

Section: Challenges Of Dental Ehr Use and Usabilitymentioning

confidence: 99%

See 2 more Smart Citations

Cognitive Informatics for Biomedicine

Patel¹,

Kannampallil²,

Kaufman³

2015

Health Informatics

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Section: Development Of a Standardized Dental Diagnostic Terminologymentioning

confidence: 99%

Section: Challenges Of Dental Ehr Use and Usabilitymentioning

confidence: 99%

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Cognitive Informatics for Biomedicine

Patel¹,

Kannampallil²,

Kaufman³

2015

Health Informatics

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“…Copyright © 2011 S. Karger AG, Basel Information and communication technology has become an integral part of many fields in dentistry, turning it into an ever more necessary working tool in epidemiology. In today's scenario, the public and private sectors have shown a growing interest in the use of information and communication technology specially designed to assist dentists in their daily practice [Reynolds et al, 2007[Reynolds et al, , 2008Forsell et al, 2008]. Future technologies promise more adaptive, patient-focused and efficient dental care with educational advantages in training [Reynolds et al, 2008].…”

mentioning

confidence: 99%

“…In today's scenario, the public and private sectors have shown a growing interest in the use of information and communication technology specially designed to assist dentists in their daily practice [Reynolds et al, 2007[Reynolds et al, , 2008Forsell et al, 2008]. Future technologies promise more adaptive, patient-focused and efficient dental care with educational advantages in training [Reynolds et al, 2008]. University hospitals are progressively implementing patients' records on an electronic basis and are using digital images, in addition to the already available elec-…”

mentioning

confidence: 99%

Validity of an Information and Communication Technology System for Data Capture in Epidemiological Studies

Carvalho

Bottenberg²,

Declerck

et al. 2011

Caries Res

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The Belgian National Institute of Health Insurance is implementing an oral health data registration and surveillance system. This study aimed to develop and validate a system of electronic data capture for oral health surveys at a national level – Oral Survey-B – and to identify the advantages and disadvantages of the electronic system in comparison with the traditional handwritten data capture. Six series of full-mouth recordings simulating the clinical examination of 6 patients were set up in a Powerpoint presentation. The validation was undertaken by 52 general practitioners. A randomized one-period crossover design was used with two formats of data capture, i.e. electronic followed by handwritten or handwritten followed by electronic system. Further, 6 benchmarked handwritten forms were transferred to the electronic format. For the electronic data capture, 86.5% of the practitioners had a correct completion rate of ≧95%. The corresponding value for the handwritten data capture and transfer was 78.8% (p = 0.25, McNemar test). The overall accuracy of forms without any error was 73.4% for the electronic and 62.5% for the handwritten data capture (p < 0.001, signed-rank test). Significantly lower percentages of errors and less time were observed for the electronic data capture (p < 0.001, signed-rank test). Practitioners considered the electronic data capture as being much more difficult to carry out (p < 0.001). As information technology has turned into an ever more necessary working tool in epidemiology, there should be an important potential for uptake of further improvements in electronic data capture in the future.

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Economic Outcomes of a Dental Electronic Patient Record

Langabeer¹,

Walji

Taylor

et al. 2008

Journal of Dental Education

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The implementation of an electronic patient record (EPR) in many sectors of health care has been suggested to have positive relationships with both quality of care and improved pedagogy, although evaluation of actual results has been somewhat disillusioning. Evidence-based dentistry clearly suggests the need for tools and systems to improve care, and an EPR is a critical tool that has been widely proposed in recent years. In dental schools, EPR systems are increasingly being adopted, despite obstacles such as high costs, time constraints necessary for process worklow change, and overall project complexity. The increasing movement towards cost-effectiveness analyses in health and medicine suggests that the EPR should generally cover expenses, or produce total beneits greater than its combined costs, to ensure that resources are being utilized eficiently. To test the underlying economics of an EPR, we utilized a pre-post research design with a probability-based economic simulation model to analyze changes in performance and costs in one dental school. Our indings suggest that the economics are positive, but only when student fees are treated as an incremental revenue source. In addition, other performance indicators appeared to have signiicant changes, although most were not comprehensively measured pre-implementation, making it dificult to truly understand the performance differential-such pre-measurement of expected beneits is a key lesson learned. This article also provides recommendations for dental clinics and universities that are about to embark on this endeavor.

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Better informed in clinical practice – a brief overview of dental informatics

Cited by 14 publications

References 11 publications

Cognitive Informatics for Biomedicine

Cognitive Informatics for Biomedicine

Validity of an Information and Communication Technology System for Data Capture in Epidemiological Studies

Economic Outcomes of a Dental Electronic Patient Record

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