Lecture 10



This lecture introduces clinical decision support systems. It describes logic and reasoning needed to execute algorithms that run decision support systems. Then, it describes several popular systems such as alerts, reminders and info buttons.




Four basic types of inference are deduction, induction, abduction and analogy. While the deduction is by far most popular in decision support systems, other forms of reasoning are used. Particularly induction is gaining popularity in data-driven systems.
The first video (long) discusses general issues related to decision support systems, their use in healthcare.

If the above video does not work, download this file: Lecture Part 1.mp4

 





Among most popular applications of CDSS are alerts and reminders. These are relatively simple, but powerful forms of decision support. Also, Infobuttons that provide smart, context-aware help to users are gaining popularity.

This part of lecture also talks about other issues such as legal aspects of CDSS, barriers and challenges, and some new directions.

If the above video does not work, download this file: Lecture Part 2.mp4

 




Resources