Vimla L. Patel

Summary: Objectives: This study aims to evaluate the use of a modified version of the Guideline Interchange Format (GLIF), GLIF3, in the translation of clinical practice guidelines into an electronically encoded form such that they may be shared among various clinical institutions and settings. Methods: Based on theories and methods from cognitive science, the encoding of two clinical practice guidelines into two guideline modeling methods (GLIF3 and an earlier version, GLIF2) by two medical informaticians was captured on video and transcribed and annotated for analysis. Results: Differing in both content and structure, the representations developed in GLIF3 were found to contain a greater level of representational detail and less ambiguity than those developed in GLIF2. Conclusions: The use of GLIF3 in the encoding of clinical guidelines offers significant improvements due to its greater formality as compared to earlier versions of GLIF.

This article reports a study comparing the problem‐solving performance of housestaff with undergraduate medical training in either conventional or problem‐based schools. After reading two clinical cases, residents were required to write differential diagnoses and pathophysiological explanations. Biomedical and clinical knowledge used and reasoning strategies were identified. The results suggest that housestaff performance is influenced by the nature of instruction. Housestaff trained in a conventional curriculum (CC) focused on patient information, separated biomedical from clinical knowledge, and used data‐driven strategies. Housestaff from problem‐based learning curricula (PBLC) organized their knowledge around generated inferences, integrated biomedical and clinical knowledge, and used hypothesis‐driven strategies. Data‐driven reasoning appears to be impeded in PBLC, suggesting that PBLC students have difficulties in acquiring problem schemata. Previous investigations also found this pattern to be true for medical students trained in two different curriculum formats. Although all housestaff generated equal numbers of diagnostic hypotheses during the reasoning process, housestaff from the conventional curriculum generated a greater number of accurate hypotheses than residents in PBLC. These results are discussed in relation to assumptions in health professional curricula about the adequacy of hypothetico‐deductive methods of reasoning as teaching mechanisms and the need for clinical and biomedical knowledge integration.

As a multidisciplinary field, medical informatics draws on a range of disciplines, such as computer science, information science, and the social and

Clinical guidelines are aimed at standardizing patient care and improving its quality and cost effectiveness. Guidelines represented in a computer-interpretable (CI) format can be used to provide automatic decision support applied to individual patients during the clinical encounter. The process of creating computer-interpretable guidelines (CIG) re-moves ambiguities contained in paper-based guidelines, thus making the guideline more comprehensible. For these reasons, CIGs may have a larger impact on clinician behavior than paper-based guidelines. Since much effort goes into creating guidelines in a CI format, it is desirable that different institutions and software systems share them. In a guideline representation workshop hosted by the InterMed Collaboratory in March 2000, the need for a standard representation format for sharable CIGs was recognized. As a first step towards achieving this goal, we proposed a set of functional requirements for sharable CIGs. The requirements encompass the entire life cycle of a CIG: development, implementation, use and maintenance. In this paper we discuss requirements that are important during the development stage of a CIG. We have abstracted the requirements into two groups: expressiveness--the ability to ex-press the knowledge content of different types of guidelines--and comprehensibility--the ability to manage complexity, facilitate coherence, and visualize a guideline model to aid in human comprehension. The Guideline Interchange For-mat version 3 (GLIF3) is a language for structured representation of CIGs. It is under development to facilitate sharing CIGs among different institutions and systems. We illustrate how GLIF3 meets the specified development requirements.

This paper presents an approach to conceptual representation, informed by theories and methods from cognitive psychology. Our investigation of clinical case comprehension and reasoning from textual information has shifted from instantiation models in which text processing is carried out through schema fitting to more dynamic models that account for how schemata are constructed by a process of construction and integration of meaning, which depends on specific situations. We give an example involving doctor-patient dialogue to illustrate this point. Nonetheless, our main approach has been propositionally-based. As we conduct research into more specific aspects of medical understanding, such as understanding of physiological systems, we have included alternative approaches, such as qualitative functional graphs. We present examples of their use in our research. These representational formalisms allow us better to capture reasoning and understanding in dynamic systems.

The present study evaluates differences between subjects at three levels of expertise in acquiring and using information obtained from a patient during the clinical review. The results of the study suggest that the selective acquisition and the efficient utilization of information are hallmarks of expertise in the clinical review.