Literature DB >> 19018901

Optimizing clinical practice with case-based reasoning approach.

Claude Dussart1, Pascal Pommier, Valérie Siranyan, Gilles Grelaud, Sophie Dussart.   

Abstract

RATIONALE AND AIMS: Learning through experience is an important approach that humans employ to comprehend new problems. The knowledge of physicians does not only consist of rules, but of a mixture of textbook knowledge and experience. Medical treatment is facing a challenge of knowledge discovery from the growing volume of information.
METHOD: Case-based reasoning (CBR) matches the natural reasoning model of human. This approach is similar to that used by physicians when they are thinking: 'I have seen a patient like this', and provides instant recollection of past cases that may be relevant to the present case. In fact, CBR is an approach for solving problems based on solutions of similar past cases. Unlike other forms of reasoning such as rule-based reasoning, CBR does not draw conclusions by chaining together generalized rules.
CONCLUSION: The application of CBR to medical databases can be powerful techniques to aid physicians in making decisions about the management of their patients, in various types of medical units. CBR is an effective reasoning strategy for optimizing clinical practice.

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Mesh:

Year:  2008        PMID: 19018901     DOI: 10.1111/j.1365-2753.2008.01071.x

Source DB:  PubMed          Journal:  J Eval Clin Pract        ISSN: 1356-1294            Impact factor:   2.431


  4 in total

1.  Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials.

Authors:  Riccardo Miotto; Chunhua Weng
Journal:  J Am Med Inform Assoc       Date:  2015-03-13       Impact factor: 4.497

2.  Developing a Case-Based Blended Learning Ecosystem to Optimize Precision Medicine: Reducing Overdiagnosis and Overtreatment.

Authors:  Vivek Podder; Binod Dhakal; Gousia Ummae Salma Shaik; Kaushik Sundar; Madhava Sai Sivapuram; Vijay Kumar Chattu; Rakesh Biswas
Journal:  Healthcare (Basel)       Date:  2018-07-10

3.  Ethics in Pediatric Endocrinology: Curriculum for Fellows and Faculty.

Authors:  Rohan Henry; Wilma Rossi; Leena Nahata
Journal:  MedEdPORTAL       Date:  2018-03-29

4.  Evaluating predictive modeling algorithms to assess patient eligibility for clinical trials from routine data.

Authors:  Felix Köpcke; Dorota Lubgan; Rainer Fietkau; Axel Scholler; Carla Nau; Michael Stürzl; Roland Croner; Hans-Ulrich Prokosch; Dennis Toddenroth
Journal:  BMC Med Inform Decis Mak       Date:  2013-12-09       Impact factor: 2.796

  4 in total

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