Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.545810
Title: Can a computer expert system aid the process of clinical decision-making in podiatry?
Author: Curran, Mike
Awarding Body: University of Northampton
Current Institution: University of Northampton
Date of Award: 2005
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Abstract:
The aim of this research was to invetigate the clinical decision-making processes used in podiatry and hence to investigate if a computer expert system could be used to aid the process of clinical decision-making. This was achieved through a sequence of four empirical studies. The initial study used card sorts to investigate seven expert podiatrists’ perceptions of and attitudes toward diagnostic aids, and in particular how podiatrists viewed expert systems. The results showed that expert systems are perceived as different in kind from other diagnostic aids such as X-rays or blood tests. The second study was conducted using one expert and one novice podiatrist and used a task analysis to investigate the types of tasks and skills undertaken by a podiatrist during the diagnosis of a patient in different clinical environments. The results indicate that the work is highly schematised and involves routine tasks such as nail care and callus reduction. In clinic, podiarists perform many tasks quickly. There was little difference between the number of tasks per minute undertaken in a general clinic and the number of tasks in a specialist diabetes clinic. Considering the speed of diagnosis, it is postulated that both expert and novice podiatrists’ use of schemata, pattern matching, and tacit and implicit knowledge dominates their diagnostic activity during consultations. The third study focused on how clinical reasoning and decision-making occur during consultations with a patient. Think-aloud protocols were used to investigate the differences in the clinical reasoning process between five expert and nine novice podiatrists. The speed of diagnosis and general lack of causal assertions suggest that use of schemata and tacit knowledge dominate the diagnosis process for both experts and novices. In a general setting, the novices produced four common clinical reasoning themes. These indicate that pattern recognition is a common method of diagnosis. However, there was an increase in the number of clinical reasoning themes used by experts in a specialist setting, indicating novice—expert differences. The fourth study used laddering interviews on a mixture of twelve NHS and private podiatrists to investigate why podiatrists used certain clinical reasoning themes. A hierarchical value map was derived, showing that, at an initial response level to the laddering questions, certain values were important: the palpation of the foot, building a picture of the foot condition, and being able to use clinical reasoning frequently and immediately. The emphases on palpation and immediacy of reasoning suggest that an expert system is unlikely to serve podiatrists’ needs in clinics. This research has provided a new understanding of the clinical reasoning processes used in podiatry. A podiatrist has a very busy timeline when diagnosing a patient and predominantly uses (and values) tacit knowledge, implicit learning, and compiled skills during consultations. There is little evidence for the need or desire for an expert system in clinical podiatry practice. However, if such an expert system were to be created, then: (a) it would have to be fast and non-intrusive so it can fit into a very busy consultation timeline, (b) it would need a knowledge base that could account for diagnosis of foot and leg conditions based on pattern recognition, and (c) it might be most valuable in the form of a decision support system for professional development that included the full range of expert diagnostic themes
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.545810  DOI: Not available
Keywords: RD563 Podiatry ; R858 Computer applications to medicine. Medical informatics
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