Scientific Principles
IC Sciences' Division of Medical Information Sciences is developing a set of guiding principles for design and development of MIIs.
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.
IC Sciences' Division of Medical Information Sciences is developing a set of guiding principles for design and development of MIIs.
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.
