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The Information Assessment Method (IAM)

"I think, therefore IAM" (Descartes, Discourse on the Method, 1637)

The Information Assessment Method (IAM) systematically documents reflection on health information, delivered or retrieved from electronic knowledge resources. IAM enhances reflective learning, evaluation of knowledge resources, and two-way knowledge exchange between information users and information providers. 

Here we provide information about IAM, which is linked to (1) email alerts, (2) information retrieval technology, and (3) clinical decision support systems.

Through literature reviews, qualitative, quantitative and mixed methods studies, we have documented the feasibility, content validity, construct validity, and substantive validity (theoretical rationale) of the IAM questionnaire. When combined with a technique called Computerized Ecological Momentary Assessment, IAM efficiently evaluates the ‘relevance - cognitive impact - use - health benefits’ of information objects retrieved from (pull) or delivered by (push) knowledge resources.

See this article: Information_Assessment_Method


The IAM-for-clinicians is used for online education programs. 

See these articles: Physician assessments of the value of therapeutic information delivered via email AND  "Better than best" evidence? AND Moving medical research into clinical practice: Helping physicians sort the forest from the trees

See this comment on one of our published papers from  David C Slawson


The IAM-for-patients-and-consumers is used for assessing and improving online consumer health information.

See these articles: Development and Content Validation of the Information Assessment Method for Patients and Consumers AND Perceived outcomes of online parenting information according to self-selected participants from a population of website users AND Toward an information management system for handling parenting information users’ comments


Cite this website as follows:

Information Technology Primary Care Research Group.The Information Assessment Method. Department of Family Medicine, McGill University.  URL: http://www.mcgill.ca/iam. Accessed: insert date here



Contact us: roland.grad [at] mcgill.ca or pierre.pluye [at] mcgill.ca  



Information Technology Primary Care Research Group,

McGill University
Department of Family Medicine,
5858 Côte-des-Neiges,
3rd Floor, Suite 300,
Montreal QC H3S 1Z1

Tel.: 514-399-9109