Charlotte Faurie, Alexandra Alvergne, Demi Cheng, Claire Duflos, Liset Elstgeest, Rosanna Ferreira, Hein Raat, Verushka Valsecchi, Alberto Pilotto, Graham Baker, Marta M Pisano, Yves-Marie Pers
Can pain be self-managed? Pain change in vulnerable participants to a health education programme
The International journal of health planning and management
clinical data analysis relies effective methods appropriate data recognizing distinctive clinical services service functions may lead improved decisionmaking first objective categorize analytical methods data sources algorithms used current research information analysis decision support child adolescent mental health services camhs secondary objective identify potential data analysis different clinical services functions datadriven decision aids useful searched related studies science direct pubmed 2018 2023jun also acm association computing machinery digital library dblp database systems logic programming google scholar 2018 2021 reviewed 39 studies extracted types analytical methods information content information sources decisionmaking order compare studies developed framework characterizing health services functions data features data sets reviewed studies small median 1550 patients 46503 record entries structured data used studies except two used textual clinical notes studies used supervised classification regression service situationspecific data analysis dominated among studies two studies used temporal process features patient data paper presents summarizes utility quality studies according care situations care providers identify service functions datadriven decision aids may relevant frameworks identifying services functions care processes necessary characterizing comparing electronic health record ehr data analysis studies majority studies use features related diagnosis assessment correspondingly utility intervention planning followup profiling disease severity referred patients also important application area