title: Rule based processing of the CD4000, CD3200 and CD Sapphire analyser output using the Cerner Discern Expert Module.
abstract: The latest version of our Laboratory Information System haematology laboratory expert system that handles the output of Abbott Cell-Dyn Sapphires, CD4000s and a CD3200 full blood count analyser in three high-volume haematology laboratories is described. The three hospital laboratories use Cerner Millennium Version 2007.02 software and the expert system uses Cerner Millennium Discern Expert rules and some small Cerner Command Language in-house programs. The entire expert system is totally integrated with the area-wide database and has been built and maintained by haematology staff members, as has the haematology database. Using patient demographic data, analyser numeric results, analyser error and morphology flags and previous results for the patient, this expert system decides whether to validate the main full blood count indices and white cell differential, or if the analyser results warrant further operator intervention/investigation before verifying, whether a blood film is required for microscopic review and if abnormal results require phoning to the staff treating the patient. The principles of this expert system can be generalized to different haematology analysers and haematology laboratories that have different workflows and different software.
authors.affiliation: Institute of Haematology, Royal Prince Alfred Hospital, Sydney, Australia.
authors.forename: P
authors.initials: P
authors.lastname: Burgess
authors.forename: H
authors.initials: H
authors.lastname: Robin
authors.forename: M
authors.initials: M
authors.lastname: Langshaw
authors.forename: G
authors.initials: G
authors.lastname: Kershaw
authors.forename: R
authors.initials: R
authors.lastname: Pathiraja
authors.forename: S
authors.initials: S
authors.lastname: Yuen
authors.forename: C
authors.initials: C
authors.lastname: Coad
authors.forename: N
authors.initials: N
authors.lastname: Xiros
authors.forename: G
authors.initials: G
authors.lastname: Mansy
authors.forename: R
authors.initials: R
authors.lastname: Coleman
authors.forename: R
authors.initials: R
authors.lastname: Brown
authors.forename: J
authors.initials: J
authors.lastname: Gibson
authors.forename: R
authors.initials: R
authors.lastname: Holman
authors.forename: J
authors.initials: J
authors.lastname: Hubbard
authors.forename: V
authors.initials: V
authors.lastname: Wick
authors.forename: M
authors.initials: M
authors.lastname: Lammers
authors.forename: R
authors.initials: R
authors.lastname: Johnson
authors.forename: K
authors.initials: K
authors.lastname: Huffman
authors.forename: J
authors.initials: J
authors.lastname: Bell
authors.forename: A
authors.initials: A
authors.lastname: Ibrahim
authors.forename: F
authors.initials: F
authors.lastname: Estepa
authors.forename: J
authors.initials: J
authors.lastname: Lovegrove
authors.forename: D
authors.initials: D
authors.lastname: Joshua
mesh_terms: D000328:Adult; D001315:Australia; D001772:Blood Cell Count / Q000295:instrumentation*; D002648:Child; D002675:Child, Preschool; D002984:Clinical Laboratory Information Systems / Q000295:instrumentation; D005103:Expert Systems; D006403:Hematologic Tests / Q000295:instrumentation*; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D012984:Software