An informatics consult approach for generating clinical evidence for treatment decisions.

Alvina G LaiWai Hoong ChangConstantinos A ParisinosMichail KatsoulisRuth M BlackburnAnoop D ShahVincent NguyenSpiros DenaxasGeorge Davey SmithTom R GauntKrishnarajah NirantharakumarMurray P CoxDonall FordeFolkert W AsselbergsSteve HarrisSylvia RichardsonReecha SofatRichard J B DobsonAroon HingoraniRiyaz PatelJonathan SterneAmitava BanerjeeAlastair K DennistonSimon BallNeil J SebireNigam H ShahGraham R FosterBryan WilliamsHarry Hemingway

Published in: BMC medical informatics and decision making (2021)

We performed a proof-of-concept Informatics Consult for evidence generation, which may inform treatment decisions in situations where there is dearth of randomised trials. Patients are surprised to know that their clinicians are currently not able to learn in clinic from data on 'patients like me'. We identify the key challenges in offering such an Informatics Consult as a service.

Keyphrases

end stage renal disease
ejection fraction
chronic kidney disease
newly diagnosed
electronic health record
peritoneal dialysis
prognostic factors
healthcare
big data
primary care
mental health
machine learning
palliative care
patient reported outcomes
artificial intelligence
combination therapy