You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
As a knowledge seeker looking to expand capabilities in the clinical health field of endeavor I want to help cultivate and refine a knowledge graph data set, focused on diagnosis, interventions and outcomes using the MIMIC III core data and any pertinent reference corpus, dictionaries, libraries in order to make this solution available through an interactive visual mechanism (e.g. web app, AR app) so that a user, such as a clinician, can traverse the graph to assist in exploring and evaluating healthcare options for a patient
Acceptance criteria and considerations:
Graph should be simple and follow the PAR form: Problem -> Action -> Result
A. Problem for clinical health may follow the pattern: locus -> bodypart -> ailment (e.g. upper GI bleed)
B. Action can be an individual intervention action or a sequence/regiment of intervention actions
C. Result would be reduction or elimination of the ailment; likely expressed as a probability (may also specify risks/side effects and their probabilities)
Solution can be a functional prototype; this can help focus research and design (need to consider how solution will be used)
A. User should be able to select a body part or ailment (may be a whole body symptom such as fatigue); may need to use an anatomy hierarchy or image in order to help the user quickly narrow in on a body part
B. Zooming in can allow narrower focus (e.g. initially select abdomen area, then isolate an organ, then section of organ such as upper GI tract); need to keep number of gestures/clicks low
C. If multiple Action alternatives are available, need to come up with ranking mechanism (e.g. risk/benefit weighted)
D. Can use ranking mechanism to order problems/ailments with most common coming up first
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
-
As a knowledge seeker looking to expand capabilities in the clinical health field of endeavor
I want to help cultivate and refine a knowledge graph data set, focused on diagnosis, interventions and outcomes using the MIMIC III core data and any pertinent reference corpus, dictionaries, libraries in order to make this solution available through an interactive visual mechanism (e.g. web app, AR app)
so that a user, such as a clinician, can traverse the graph to assist in exploring and evaluating healthcare options for a patient
Acceptance criteria and considerations:
A. Problem for clinical health may follow the pattern: locus -> bodypart -> ailment (e.g. upper GI bleed)
B. Action can be an individual intervention action or a sequence/regiment of intervention actions
C. Result would be reduction or elimination of the ailment; likely expressed as a probability (may also specify risks/side effects and their probabilities)
A. User should be able to select a body part or ailment (may be a whole body symptom such as fatigue); may need to use an anatomy hierarchy or image in order to help the user quickly narrow in on a body part
B. Zooming in can allow narrower focus (e.g. initially select abdomen area, then isolate an organ, then section of organ such as upper GI tract); need to keep number of gestures/clicks low
C. If multiple Action alternatives are available, need to come up with ranking mechanism (e.g. risk/benefit weighted)
D. Can use ranking mechanism to order problems/ailments with most common coming up first
Contributors: Dan Rigoli (@drigoli)
Beta Was this translation helpful? Give feedback.
All reactions