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Table 4 The potential role of clinical analytics in clinical decision support of the future

From: Envisioning the future of clinical analytics: a modified Delphi process in New South Wales, Australia

 

Types of information about the patient as an individual

Types of information about the patient as part of a cohort

Synchronous

(At the time of the clinical encounter)

“This patient has incongruent patient-reported-measures (PRM) and lab test results”

“This patient’s clinical parameters suggest he or she is at high risk of an adverse event”

“This patient’s PRMs have been trending downwards for the past six months”

“This patient is in the highest frailty decile of your patient cohort”

“This patient’s recent trajectory has diverged from that of his or her cohort”

Asynchronous

(At a time outside the clinical encounter)

“A patient you saw last month has experienced significant changes in his or her clinical parameters”

“The treatment you prescribed for this patient resulted in a change in trajectory”

“More than 50% of your patients are clustered in the bottom 10% of the cohort”

“The treatments you prescribe for patients with back pain differ significantly from your peers and outcomes are worse”