Literature DB >> 18066412

Supporting medical planning by mitigating cognitive load.

D W Glasspool1, A Oettinger, J H Smith-Spark, F D Castillo, V E L Monaghan, J Fox.   

Abstract

OBJECTIVES: Developing a care plan for a patient is a complex task, requiring an understanding of interactions and dependencies between procedures and of their possible outcomes for an individual patient. Decision support for planning has broader requirements than are typically considered in medical informatics applications. We consider the appropriate design of software to assist medical planning.
METHODS: The likely cognitive loads imposed by planning tasks were assessed with a view to directly supporting these via software.
RESULTS: Five types of cognitive load are likely to be important. A planning support system, REACT, was designed to ameliorate these cognitive loads by providing targeted dynamic feedback during planning. An initial evaluation study in genetic counselling indicates that the approach is successful in that role.
CONCLUSIONS: The approach provides the basis of a general aid for visualizing, customizing and evaluating care plans.

Entities:  

Mesh:

Year:  2007        PMID: 18066412     DOI: 10.3414/me0441

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  4 in total

1.  From practice guidelines to clinical decision support: closing the loop.

Authors:  John Fox; Vivek Patkar; Ioannis Chronakis; Richard Begent
Journal:  J R Soc Med       Date:  2009-11       Impact factor: 5.344

Review 2.  Clinical decision support for genetically guided personalized medicine: a systematic review.

Authors:  Brandon M Welch; Kensaku Kawamoto
Journal:  J Am Med Inform Assoc       Date:  2012-08-25       Impact factor: 4.497

3.  Interactive decision support for risk management: a qualitative evaluation in cancer genetic counselling sessions.

Authors:  David W Glasspool; Ayelet Oettinger; Dejana Braithwaite; John Fox
Journal:  J Cancer Educ       Date:  2010-09       Impact factor: 2.037

4.  The need for clinical decision support integrated with the electronic health record for the clinical application of whole genome sequencing information.

Authors:  Brandon M Welch; Kensaku Kawamoto
Journal:  J Pers Med       Date:  2013-12-18
  4 in total

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