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Let's Discuss: The Decision Making Process and the Implementation of Decision Aids

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This month's NCI Advanced Topics in Implementation Science webinar, "The Decision Making Process and the Implementation of Decision Aids". We were particularly delighted to welcome Dr. Masahito Jimbo who led us in a fascinating discussion on the decision making process and the implementation of decision aids. 

As Dr Jimbo noted in his presentation, while there is promising research around the effect of decision aids on cancer screening, more work needs to be done to explore areas where more information is needed to fully understand the impact of decision aids on the process and outcomes of shared decision making between the patient and the clinician.

We will be posting the archive of today's webinar shortly, but would like to open the discussion to you.

  • As a researcher, what would you see as fuure directions for research around decision aids?
  • Are there frameworks you consider particularly robust for optimizing implementation of decision aids?
  • For pracitioners: what have been your experiences leading patients in shared decision making - especially around cancer screening?

We look forward to continuing the discussion!


For those that missed the

For those that missed the live session.  Here is the archive.  We hope you will view and then engage in the discussion and share your thoughts/comments on R2R.


Followers of this discussion

Followers of this discussion may be particularly interested in Optimizing Strategies for Clinical Decision Support, a new special publication from the National Academy of Medicine is now available as a free PDF download.

As a result of a collaboration between the NAM and the Office of the National Coordinator for Health Information Technology, this NAM Special Publication summarizes and builds upon a meeting series in which a multistakeholder group of experts explored the potential of clinical decision support (CDS) to transform care delivery by ameliorating the burden that expanding clinical knowledge and care and choice complexity place on the finite time and attention of clinicians, patients, and members of the care team. This summary also includes highlights from discussions to address the barriers to realizing the full benefits of CDS-facilitated value improvement.  

Optimizing Strategies for Clinical Decision Support identifies the need for a continuously learning health system driven by the seamless and rapid generation, processing, and practical application of the best available evidence for clinical decision-making, and lays out a series of actionable collaborative next steps to optimize strategies for adoption and use of clinical decision support.