| 
  • If you are citizen of an European Union member nation, you may not use this service unless you are at least 16 years old.

  • You already know Dokkio is an AI-powered assistant to organize & manage your digital files & messages. Very soon, Dokkio will support Outlook as well as One Drive. Check it out today!

View
 

FrontPage

This version was saved 11 years, 9 months ago View current version     Page history
Saved by Roland Grad
on October 18, 2012 at 4:11:27 am
 

The Information Assessment Method (IAM)

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

 

The Information Assessment Method(IAM) systematically documents reflection on clinical information delivered or retrieved from electronic knowledge resources. IAM can enhance continuing education by stimulating reflective learning, evaluation of knowledge resources, and two-way knowledge exchange between information users and providers. 

 

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

 

Using literature reviews, and 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) electronic knowledge resources.

 

An article on the Information Assessment Method (IAM) is available at http://www.international-innovation-healthcare.com/magazines/HC17/index.html
From the search function in the left-hand menu, type in Pluye or Grad to bring up the article ‘Assessing and Improving Clinical Information”

 

Cite this website as follows:Information Technology Primary Care Research Group.The Information Assessment Method. Department of Family Medicine, McGill University. 2009-05-19. URL:http://iam2009.pbworks.com/FrontPage. Accessed: 2009-05-19.(Archived by WebCite® athttp://www.webcitation.org/5gsxVzICm)

 

Contact us:roland.grad@mcgill.caorpierre.pluye@mcgill.ca

  

Information Technology Primary Care Research Group, McGill University, Department of Family Medicine, 517 Pine Avenue West, Montreal, QC, Canada, H2W 1S4. Tel.: 514-398-7375.

 

Links to:

Comments (0)

You don't have permission to comment on this page.