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The feasibility of using pattern recognition software to measure the influence of computer use on the consultation.

de Lusignan S, Wilson E, Dyble A, Grant T, Theadom A, Chan T - BMC Med Inform Decis Mak (2003)

Bottom Line: As this was a feasibility study detailed results of the analysis are not presented.Pattern recognition software enables movements associated with patient-centredness to be recorded.Pattern recognition software has the potential to provide an objective, quantitative measure of the influence of the computer on the consultation.

View Article: PubMed Central - HTML - PubMed

Affiliation: Primary Care Informatics, Department of Community Health Sciences, Hunter Wing, St George's Hospital Medical School, London, SW17 ORE, UK. slusigna@sghms.ac.uk

ABSTRACT

Background: A key feature of a good general practice consultation is that it is patient-centred. A number of verbal and non-verbal behaviours have been identified as important to establish a good relationship with the patient. However, the use of the computer detracts the doctor's attention away from the patient, compromising these essential elements of the consultation. Current methods to assess the consultation and the influence of the computer on them are time consuming and subjective. If it were possible to measure these quantitatively, it could provide the basis for the first truly objective way of studying the influence of the computer on the consultation. The aim was to assess whether pattern recognition software could be used to measure the influence and pattern of computer use in the consultation. If this proved possible it would provide, for the first time, an objective quantitative measure of computer use and a measure of the attention and responsiveness of the general practitioner towards the patient.

Methods: A feasibility study using pattern recognition software to analyse a consultation was conducted. A web camera, linked to a data-gathering node was used to film a simulated consultation in a standard office. Members of the research team enacted the role of the doctor and the patient, using pattern recognition software to try and capture patient-centred, non-verbal behaviour. As this was a feasibility study detailed results of the analysis are not presented.

Results: It was revealed that pattern recognition software could be used to analyse certain aspects of a simulated consultation. For example, trigger lines enabled the number of times the clinician's hand covered the keyboard to be counted and wrapping recorded the number of times the clinician nodded his head. It was also possible to measure time sequences and whether the movement was brief or lingering.

Conclusion: Pattern recognition software enables movements associated with patient-centredness to be recorded. Pattern recognition software has the potential to provide an objective, quantitative measure of the influence of the computer on the consultation.

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Related in: MedlinePlus

The GP and patient with the trigger line between them.
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Figure 1: The GP and patient with the trigger line between them.

Mentions: The camera and DGN were set up in a small office (to simulate a standard general practice consulting room). The office was smaller than an average size consulting room to test PRS at the minimum distance it was likely to be used (measurements of patterns at short distance is a less usual use of this technology). The resulting image is shown in figure 1.


The feasibility of using pattern recognition software to measure the influence of computer use on the consultation.

de Lusignan S, Wilson E, Dyble A, Grant T, Theadom A, Chan T - BMC Med Inform Decis Mak (2003)

The GP and patient with the trigger line between them.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC305356&req=5

Figure 1: The GP and patient with the trigger line between them.
Mentions: The camera and DGN were set up in a small office (to simulate a standard general practice consulting room). The office was smaller than an average size consulting room to test PRS at the minimum distance it was likely to be used (measurements of patterns at short distance is a less usual use of this technology). The resulting image is shown in figure 1.

Bottom Line: As this was a feasibility study detailed results of the analysis are not presented.Pattern recognition software enables movements associated with patient-centredness to be recorded.Pattern recognition software has the potential to provide an objective, quantitative measure of the influence of the computer on the consultation.

View Article: PubMed Central - HTML - PubMed

Affiliation: Primary Care Informatics, Department of Community Health Sciences, Hunter Wing, St George's Hospital Medical School, London, SW17 ORE, UK. slusigna@sghms.ac.uk

ABSTRACT

Background: A key feature of a good general practice consultation is that it is patient-centred. A number of verbal and non-verbal behaviours have been identified as important to establish a good relationship with the patient. However, the use of the computer detracts the doctor's attention away from the patient, compromising these essential elements of the consultation. Current methods to assess the consultation and the influence of the computer on them are time consuming and subjective. If it were possible to measure these quantitatively, it could provide the basis for the first truly objective way of studying the influence of the computer on the consultation. The aim was to assess whether pattern recognition software could be used to measure the influence and pattern of computer use in the consultation. If this proved possible it would provide, for the first time, an objective quantitative measure of computer use and a measure of the attention and responsiveness of the general practitioner towards the patient.

Methods: A feasibility study using pattern recognition software to analyse a consultation was conducted. A web camera, linked to a data-gathering node was used to film a simulated consultation in a standard office. Members of the research team enacted the role of the doctor and the patient, using pattern recognition software to try and capture patient-centred, non-verbal behaviour. As this was a feasibility study detailed results of the analysis are not presented.

Results: It was revealed that pattern recognition software could be used to analyse certain aspects of a simulated consultation. For example, trigger lines enabled the number of times the clinician's hand covered the keyboard to be counted and wrapping recorded the number of times the clinician nodded his head. It was also possible to measure time sequences and whether the movement was brief or lingering.

Conclusion: Pattern recognition software enables movements associated with patient-centredness to be recorded. Pattern recognition software has the potential to provide an objective, quantitative measure of the influence of the computer on the consultation.

Show MeSH
Related in: MedlinePlus