-- Distributed evidence - to support the next epoch in healthcare
evidence, instruments should enable real world, bottom-up capture and
synthesis of patient-, clinician-, and computer-generated data.
-- Cognitive potency - instruments should embody cognitive science's
knowledge regarding how information assembly, packaging, and delivery
in interactions with patients and clinicians impacts healthcare
decisions and behavior.
-- Complexity informatics - given that healthcare represents a highly
uncertain, dynamic, and interconnected system, instrument designs
should assimilate complex adaptive systems approaches.
-- Internet-assisted intelligence - healthcare's evidence base and
complexity have exceeded the capacities of unaided human intelligence;
Internet instruments' computing power can play a vital role providing
intelligence advisory services to patients and clinicians.
The Division produces a series of research reports, the Medical Informatics Review, describing how the cognitive, complexity, and informatics sciences can be used in practice in a variety of indications such as patient- physician partnering, patient medication adherence, and generating real world clinical evidence for performance management and personalized medicine. (See http://www.icsciences.com/informaticsreview.cfm)
To learn more about the Division of Medical information Sciences, visit http://www.icsciences.com/medinfoscience.cfm .
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