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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

FOR PRACTITIONERS: 

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

FOR PATIENTS AND CONSUMERS:

The IAM-for-patients is presented in the following paper. The IAM-for-parents is currently used to evaluate parenting information and receive constructive feedback from parents. IAM for patients and consumers.

 

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 [dot] grad [at] mcgill [dot] ca or pierre [dot] pluye [at] mcgill [dot] 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